WEBVTT

1
00:00:04.540 --> 00:00:12.949 A:middle L:90%
Yeah, okay, so I'm gonna uh take just

2
00:00:12.949 --> 00:00:15.130 A:middle L:90%
a second or two and uh kind of do a

3
00:00:15.130 --> 00:00:18.879 A:middle L:90%
little bit of an introduction to me. Uh probably

4
00:00:18.879 --> 00:00:20.820 A:middle L:90%
I'm gonna know me better than anybody, so I'm probably

5
00:00:20.829 --> 00:00:27.649 A:middle L:90%
disqualified. I'm I'm an animal scientist by training.

6
00:00:27.660 --> 00:00:31.850 A:middle L:90%
So some pedigrees are pretty important to me, so

7
00:00:31.850 --> 00:00:32.899 A:middle L:90%
I'll kind of give you a little bit of a

8
00:00:32.909 --> 00:00:34.579 A:middle L:90%
pedigree, so you kind of have an idea of

9
00:00:34.590 --> 00:00:37.009 A:middle L:90%
where I'm coming from and whether I'm really qualified to

10
00:00:37.020 --> 00:00:38.700 A:middle L:90%
talk to you about something going to talk to you

11
00:00:38.710 --> 00:00:42.890 A:middle L:90%
about. Uh So, So I actually started my

12
00:00:42.899 --> 00:00:48.570 A:middle L:90%
career in extension in 1980, which I know for

13
00:00:48.579 --> 00:00:51.679 A:middle L:90%
most of you as some point in history for which

14
00:00:51.679 --> 00:00:56.289 A:middle L:90%
you're not aware. Um But uh went to Virginia

15
00:00:56.289 --> 00:00:59.210 A:middle L:90%
Tech, got a degree in animal science, uh

16
00:00:59.219 --> 00:01:03.130 A:middle L:90%
started as a as a county extinction agent in northern

17
00:01:03.130 --> 00:01:07.269 A:middle L:90%
Virginia 1980 1981. Uh when it really kind of

18
00:01:07.269 --> 00:01:10.650 A:middle L:90%
started my uh I guess what I would consider my

19
00:01:10.659 --> 00:01:14.950 A:middle L:90%
professional career. Oh, and that sort of moved

20
00:01:14.950 --> 00:01:19.019 A:middle L:90%
on to becoming the director of something at the time

21
00:01:19.019 --> 00:01:21.780 A:middle L:90%
that we called Extension Information Systems. So I came

22
00:01:21.780 --> 00:01:23.480 A:middle L:90%
back to Blacksburg, I was here for a few

23
00:01:23.480 --> 00:01:26.530 A:middle L:90%
years. Um I left here went to Purdue University

24
00:01:26.540 --> 00:01:30.430 A:middle L:90%
and I was the director of uh for the but

25
00:01:30.430 --> 00:01:34.079 A:middle L:90%
at that time was the School of Agriculture in West

26
00:01:34.079 --> 00:01:37.280 A:middle L:90%
Lafayette and it was produced for a couple of years

27
00:01:37.290 --> 00:01:41.459 A:middle L:90%
left there, you can't hold a job, went

28
00:01:41.459 --> 00:01:44.030 A:middle L:90%
to Penn State, where I was the director of

29
00:01:44.030 --> 00:01:46.430 A:middle L:90%
I.T. For the college of Ag for about

30
00:01:46.430 --> 00:01:51.780 A:middle L:90%
12.5 years and March of 2014. I was fortunate

31
00:01:51.780 --> 00:01:53.430 A:middle L:90%
enough to get the opportunity to come back to Virginia

32
00:01:53.430 --> 00:01:57.480 A:middle L:90%
Tech. And uh I think I can pretty definitively

33
00:01:57.480 --> 00:01:59.890 A:middle L:90%
say, or at least my wife will definitively say

34
00:01:59.890 --> 00:02:01.640 A:middle L:90%
that we're done moving, we're gonna roost here,

35
00:02:01.640 --> 00:02:07.120 A:middle L:90%
this is gonna be it. Um So you know

36
00:02:07.120 --> 00:02:09.580 A:middle L:90%
, kind of the neat thing about that is You

37
00:02:09.580 --> 00:02:14.229 A:middle L:90%
know that sort of time period I guess, you

38
00:02:14.229 --> 00:02:17.060 A:middle L:90%
know like 1982 now in my mind really sort of

39
00:02:17.060 --> 00:02:20.219 A:middle L:90%
encompasses I guess what you would sort of call the

40
00:02:20.229 --> 00:02:23.659 A:middle L:90%
modern age of what we now call information technology.

41
00:02:23.240 --> 00:02:27.219 A:middle L:90%
Um you know, we've seen the advent of the

42
00:02:27.229 --> 00:02:30.680 A:middle L:90%
web and you know now people can actually spell internet

43
00:02:30.689 --> 00:02:34.159 A:middle L:90%
, whereas before the 1980 they probably couldn't. Um

44
00:02:34.539 --> 00:02:38.969 A:middle L:90%
and so from a library perspective, what I've seen

45
00:02:38.969 --> 00:02:43.219 A:middle L:90%
is kind of like you recalling that uh he used

46
00:02:43.219 --> 00:02:45.129 A:middle L:90%
to go out on friday afternoons and have a beer

47
00:02:45.129 --> 00:02:46.530 A:middle L:90%
with some guy named Gutenberg. And after you get

48
00:02:46.530 --> 00:02:49.580 A:middle L:90%
a couple of points in and he starts sketching out

49
00:02:49.580 --> 00:02:52.719 A:middle L:90%
this printing press thing on a bar now. So

50
00:02:52.729 --> 00:02:54.060 A:middle L:90%
uh so that's kind of the things that that sort

51
00:02:54.060 --> 00:03:00.689 A:middle L:90%
of thing over my career. So I'll fly back

52
00:03:00.689 --> 00:03:05.780 A:middle L:90%
and forth with this thing a lot of times people

53
00:03:05.780 --> 00:03:07.729 A:middle L:90%
ask is an I. T. Director. You

54
00:03:07.729 --> 00:03:08.210 A:middle L:90%
know what are the things that sort of keep you

55
00:03:08.210 --> 00:03:12.460 A:middle L:90%
up at night? Um fortunately I'm a pretty sound

56
00:03:12.460 --> 00:03:14.710 A:middle L:90%
sleeper so it doesn't do it a lot. But

57
00:03:14.710 --> 00:03:15.879 A:middle L:90%
the one thing that really does keep me awake at

58
00:03:15.879 --> 00:03:23.689 A:middle L:90%
night this data. Um and I guess over over

59
00:03:23.689 --> 00:03:27.849 A:middle L:90%
the period of my career um you know we've seen

60
00:03:27.860 --> 00:03:30.750 A:middle L:90%
data kind of move from of course the traditional uh

61
00:03:31.240 --> 00:03:35.650 A:middle L:90%
print kinds of things into sort of our digital formats

62
00:03:35.659 --> 00:03:40.659 A:middle L:90%
when uh when I first started working with computers as

63
00:03:40.659 --> 00:03:45.680 A:middle L:90%
they say what I had was something that we called

64
00:03:45.689 --> 00:03:49.259 A:middle L:90%
a dumb terminal. So it was kind of imagine

65
00:03:49.259 --> 00:03:53.060 A:middle L:90%
sort of like a little typewriter that had an acoustic

66
00:03:53.060 --> 00:03:54.340 A:middle L:90%
coupling in the back of it. So you would

67
00:03:54.349 --> 00:03:59.599 A:middle L:90%
dial a number that connected to Honeywell Computer and Minnesota

68
00:03:59.610 --> 00:04:00.939 A:middle L:90%
. And you plug the phone coupling into the back

69
00:04:00.939 --> 00:04:02.849 A:middle L:90%
of it. And that's how you establish your connection

70
00:04:03.340 --> 00:04:08.060 A:middle L:90%
. And the data was actually printed on thermal paper

71
00:04:08.840 --> 00:04:12.969 A:middle L:90%
. So the biggest risk to data compromise was leaving

72
00:04:12.969 --> 00:04:15.830 A:middle L:90%
that thermal paper in the seat of the pickup truck

73
00:04:15.840 --> 00:04:16.639 A:middle L:90%
when the sun hit on it. Because when you

74
00:04:16.639 --> 00:04:19.509 A:middle L:90%
came back all your data was gone. So that's

75
00:04:19.509 --> 00:04:20.899 A:middle L:90%
kind of where we've, you know, sort of

76
00:04:20.899 --> 00:04:26.069 A:middle L:90%
come from. Okay. So so what are the

77
00:04:26.069 --> 00:04:28.930 A:middle L:90%
things that generally kind of give me anxiety when it

78
00:04:28.930 --> 00:04:33.050 A:middle L:90%
comes to data? Well collecting it, okay,

79
00:04:34.240 --> 00:04:43.540 A:middle L:90%
storing it, securing it, recovering it, using

80
00:04:43.540 --> 00:04:48.459 A:middle L:90%
it, sharing it. And actually we're moving.

81
00:04:49.139 --> 00:04:53.029 A:middle L:90%
So pretty much anything you can think about as it

82
00:04:53.029 --> 00:04:55.930 A:middle L:90%
relates to data are the things that really kind of

83
00:04:55.930 --> 00:04:59.819 A:middle L:90%
give me uh pause or it gives me concern or

84
00:04:59.819 --> 00:05:03.519 A:middle L:90%
it's the things that I'm really concerned about and you

85
00:05:03.519 --> 00:05:08.379 A:middle L:90%
know what I think I think just the notion that

86
00:05:08.379 --> 00:05:11.939 A:middle L:90%
we focus on data as I. T. Professionals

87
00:05:11.949 --> 00:05:14.689 A:middle L:90%
is actually a little bit of a change. I

88
00:05:14.689 --> 00:05:15.750 A:middle L:90%
mean you would think it sort of makes sense but

89
00:05:16.139 --> 00:05:19.620 A:middle L:90%
you know historically as I. T. Professionals we

90
00:05:19.620 --> 00:05:25.230 A:middle L:90%
focused on things like um you're making sure that computer

91
00:05:25.230 --> 00:05:30.800 A:middle L:90%
was functional and operation making sure that the network was

92
00:05:30.810 --> 00:05:33.889 A:middle L:90%
secure and had enough bandwidth. Uh making sure that

93
00:05:33.889 --> 00:05:38.060 A:middle L:90%
our software was patched and everything was up to date

94
00:05:38.720 --> 00:05:41.839 A:middle L:90%
. And I think what happened is we we kind

95
00:05:41.839 --> 00:05:45.069 A:middle L:90%
of did a lot of that stuff. Uh not

96
00:05:45.079 --> 00:05:48.560 A:middle L:90%
necessarily thinking about what the real prize was and the

97
00:05:48.560 --> 00:05:51.339 A:middle L:90%
real prize was the data because all these things are

98
00:05:51.339 --> 00:05:55.610 A:middle L:90%
sort of superfluous to having a really good solid data

99
00:05:55.610 --> 00:05:57.689 A:middle L:90%
that we can you know that we can use and

100
00:05:57.689 --> 00:05:59.449 A:middle L:90%
that we can secure we can keep in all these

101
00:05:59.449 --> 00:06:02.750 A:middle L:90%
kinds of. So what I'm gonna do is um

102
00:06:03.139 --> 00:06:04.889 A:middle L:90%
just kind of take you through each one of these

103
00:06:04.889 --> 00:06:09.250 A:middle L:90%
things and and just sort of kind of give it

104
00:06:09.250 --> 00:06:12.790 A:middle L:90%
to you a little bit from the From the perspective

105
00:06:12.790 --> 00:06:15.850 A:middle L:90%
of an IT. professional and particularly 90 director and

106
00:06:15.850 --> 00:06:18.439 A:middle L:90%
I'll just kind of throw out my wife will will

107
00:06:18.439 --> 00:06:23.009 A:middle L:90%
argue against this and probably most of my staff but

108
00:06:23.019 --> 00:06:25.129 A:middle L:90%
I'm a lot better at having a conversation that I

109
00:06:25.129 --> 00:06:29.040 A:middle L:90%
am preaching. So you know you know if you

110
00:06:29.040 --> 00:06:30.449 A:middle L:90%
have questions or you want to kind of prove stuff

111
00:06:30.449 --> 00:06:35.569 A:middle L:90%
out let's have a dialogue about this because yeah the

112
00:06:35.569 --> 00:06:39.589 A:middle L:90%
way that I approach it it's gonna be a lot

113
00:06:39.589 --> 00:06:41.439 A:middle L:90%
different maybe than the way that you view it.

114
00:06:41.449 --> 00:06:44.480 A:middle L:90%
And so I would much rather you kind of throw

115
00:06:44.480 --> 00:06:46.529 A:middle L:90%
some questions and we have some conversation about it and

116
00:06:46.540 --> 00:06:48.399 A:middle L:90%
you know, we just kind of standing up here

117
00:06:48.399 --> 00:06:50.870 A:middle L:90%
and lecturing to you because I'm not really particularly good

118
00:06:50.870 --> 00:06:56.160 A:middle L:90%
at that. So when it comes to data gathering

119
00:06:56.170 --> 00:07:00.560 A:middle L:90%
, um you know, we think about all the

120
00:07:00.560 --> 00:07:03.959 A:middle L:90%
technologies that are involved around the processes for getting this

121
00:07:03.959 --> 00:07:08.339 A:middle L:90%
data to some point. So there's kind of two

122
00:07:08.339 --> 00:07:10.399 A:middle L:90%
cats, two ways. That's where to look at

123
00:07:10.410 --> 00:07:12.519 A:middle L:90%
the data collection. One is just the data gathering

124
00:07:12.529 --> 00:07:15.519 A:middle L:90%
part. So one of the things, of course

125
00:07:15.519 --> 00:07:17.649 A:middle L:90%
that that's important for us, particularly in our college

126
00:07:17.660 --> 00:07:23.769 A:middle L:90%
in terms of data gathering is sensor collection. So

127
00:07:23.779 --> 00:07:28.329 A:middle L:90%
we have sensors that collect uh stuff on plants.

128
00:07:28.329 --> 00:07:30.949 A:middle L:90%
We have sensors that collect things are livestock. Uh

129
00:07:30.959 --> 00:07:33.410 A:middle L:90%
We've just done, you may know that we just

130
00:07:33.410 --> 00:07:36.110 A:middle L:90%
moved our dairy from, you know, out here

131
00:07:36.120 --> 00:07:39.500 A:middle L:90%
, opening to the universe, moved it down to

132
00:07:39.509 --> 00:07:42.240 A:middle L:90%
Kendall and Farm, which is just kind of across

133
00:07:42.240 --> 00:07:44.459 A:middle L:90%
the river from the, from the Radford arsenal.

134
00:07:45.040 --> 00:07:46.790 A:middle L:90%
Um, we have, we have tags on our

135
00:07:46.790 --> 00:07:50.060 A:middle L:90%
livestock, on our dairy cows. That really kind

136
00:07:50.060 --> 00:07:51.850 A:middle L:90%
of tell us what the cow is doing all during

137
00:07:51.850 --> 00:07:55.279 A:middle L:90%
the day. So it tells us when she's moving

138
00:07:55.290 --> 00:07:57.170 A:middle L:90%
, tells us when she's standing, still, tells

139
00:07:57.170 --> 00:07:59.459 A:middle L:90%
us when she's laying down. It even tells us

140
00:07:59.459 --> 00:08:03.089 A:middle L:90%
the angle that she's laying down and all that data

141
00:08:03.100 --> 00:08:05.529 A:middle L:90%
is really kind of important because it has an impact

142
00:08:05.529 --> 00:08:07.779 A:middle L:90%
on her health and it has an impact on milk

143
00:08:07.779 --> 00:08:09.189 A:middle L:90%
production. And so it allows us to kind of

144
00:08:09.189 --> 00:08:13.040 A:middle L:90%
study sort of the habits that are dairy cows have

145
00:08:13.040 --> 00:08:15.889 A:middle L:90%
and how that's going to impact. You know,

146
00:08:15.889 --> 00:08:18.600 A:middle L:90%
there will be. So the other thing about sensors

147
00:08:18.600 --> 00:08:20.529 A:middle L:90%
is how many of you have heard of the concept

148
00:08:20.529 --> 00:08:24.209 A:middle L:90%
of the internet of things. I don't know what

149
00:08:24.209 --> 00:08:26.689 A:middle L:90%
that is. So the notion behind that is basically

150
00:08:28.439 --> 00:08:31.939 A:middle L:90%
everything at some point is probably going to be connected

151
00:08:31.949 --> 00:08:33.320 A:middle L:90%
to the internet. It's gonna be a sensor in

152
00:08:33.320 --> 00:08:35.889 A:middle L:90%
your refrigerator, it's gonna be a sensor in your

153
00:08:35.899 --> 00:08:39.809 A:middle L:90%
tennis shoes, it's gonna be something on your watch

154
00:08:39.820 --> 00:08:43.840 A:middle L:90%
. You know, anything that can collect data is

155
00:08:43.840 --> 00:08:48.539 A:middle L:90%
going to ultimately somehow be connected to something and we're

156
00:08:48.539 --> 00:08:52.179 A:middle L:90%
going to have to collect the data that's associated with

157
00:08:52.190 --> 00:08:54.799 A:middle L:90%
all of those particular sensors. Um one of the

158
00:08:54.799 --> 00:09:01.009 A:middle L:90%
things in our college is that's kind of unique as

159
00:09:01.009 --> 00:09:05.860 A:middle L:90%
opposed to some other colleges is in addition to having

160
00:09:05.860 --> 00:09:07.330 A:middle L:90%
academic departments and research and all that kind of stuff

161
00:09:07.330 --> 00:09:11.460 A:middle L:90%
that goes on here on campus. We also have

162
00:09:11.460 --> 00:09:15.259 A:middle L:90%
offices in every county in state Virginia. So we

163
00:09:15.259 --> 00:09:18.789 A:middle L:90%
have 107 county offices. I have uh 64 H

164
00:09:18.789 --> 00:09:22.990 A:middle L:90%
Educational centers for district offices. 13 Ag Research and

165
00:09:22.990 --> 00:09:26.009 A:middle L:90%
extension center is a partridge in a pear tree.

166
00:09:26.009 --> 00:09:30.600 A:middle L:90%
And we have to provide support for all of those

167
00:09:30.600 --> 00:09:33.049 A:middle L:90%
locations and all of the faculty and staff that are

168
00:09:33.049 --> 00:09:35.809 A:middle L:90%
at those locations. So with our, so they're

169
00:09:35.809 --> 00:09:41.379 A:middle L:90%
ag research and extension centers. Um those are sort

170
00:09:41.379 --> 00:09:43.370 A:middle L:90%
of effectively, they're just like farms that the university

171
00:09:43.370 --> 00:09:46.659 A:middle L:90%
ends and they're scattered all over the state of Virginia

172
00:09:46.240 --> 00:09:48.519 A:middle L:90%
. And so one of the big things that I

173
00:09:48.519 --> 00:09:52.179 A:middle L:90%
get from all of our a wreck directors is they

174
00:09:52.190 --> 00:09:58.470 A:middle L:90%
want a connected a rate, they want wireless coverage

175
00:09:58.470 --> 00:10:00.309 A:middle L:90%
over the whole farm. They want to be able

176
00:10:00.309 --> 00:10:03.899 A:middle L:90%
to put soil most moisture probes out in the field

177
00:10:03.899 --> 00:10:05.740 A:middle L:90%
so they can, you know, not only tell

178
00:10:05.740 --> 00:10:07.730 A:middle L:90%
how much rainfall we got what the soil moisture is

179
00:10:07.730 --> 00:10:09.710 A:middle L:90%
because of course that all impacts are, you know

180
00:10:09.710 --> 00:10:13.110 A:middle L:90%
, the research is associated with, you know,

181
00:10:13.110 --> 00:10:16.330 A:middle L:90%
with their crop production. So all of that kind

182
00:10:16.330 --> 00:10:18.850 A:middle L:90%
of sensor data and suffer things that we're really always

183
00:10:18.850 --> 00:10:22.779 A:middle L:90%
looking at and thinking about how we're gonna manage what

184
00:10:22.779 --> 00:10:26.460 A:middle L:90%
we're gonna do. Um So you ate these unmanned

185
00:10:26.460 --> 00:10:30.590 A:middle L:90%
aerial vehicles, drones, the latest craze. One

186
00:10:30.590 --> 00:10:33.220 A:middle L:90%
of my absolute passions. I don't even have one

187
00:10:33.220 --> 00:10:35.769 A:middle L:90%
, but I want one desperately. Um but we

188
00:10:35.769 --> 00:10:39.460 A:middle L:90%
have a lot more of our faculty now are interested

189
00:10:39.470 --> 00:10:43.740 A:middle L:90%
in uh in drone research and the types of data

190
00:10:43.740 --> 00:10:46.480 A:middle L:90%
that we can collect with drones, uh things like

191
00:10:46.480 --> 00:10:52.659 A:middle L:90%
aerial photography. Uh folks in our plant pathology department

192
00:10:52.039 --> 00:10:58.190 A:middle L:90%
use them to collect airborne particulate matter so that we

193
00:10:58.190 --> 00:11:01.789 A:middle L:90%
can kind of study how uh insects and how uh

194
00:11:01.799 --> 00:11:05.409 A:middle L:90%
disease and spores and all these kinds of things move

195
00:11:05.409 --> 00:11:09.440 A:middle L:90%
around. And so you can imagine with digital fouls

196
00:11:09.450 --> 00:11:11.220 A:middle L:90%
that are generated from U. A. B.

197
00:11:11.220 --> 00:11:15.759 A:middle L:90%
S. We're looking at gigabytes and gigabytes and gigabytes

198
00:11:15.759 --> 00:11:18.230 A:middle L:90%
of data. But then we also have to combine

199
00:11:18.230 --> 00:11:22.429 A:middle L:90%
all that data because we're taking snapshots of you know

200
00:11:22.429 --> 00:11:24.970 A:middle L:90%
like 100 acre or 500 acre field. We have

201
00:11:24.970 --> 00:11:26.549 A:middle L:90%
to put all that stuff together so that we can

202
00:11:26.549 --> 00:11:28.250 A:middle L:90%
see where guests infiltrations are happening, all the sort

203
00:11:28.250 --> 00:11:31.490 A:middle L:90%
of thing. So you a bs are generating a

204
00:11:31.490 --> 00:11:33.629 A:middle L:90%
lot of data for us and things that we're trying

205
00:11:33.629 --> 00:11:37.350 A:middle L:90%
to sort of understand how we're gonna deal. Um

206
00:11:37.360 --> 00:11:39.679 A:middle L:90%
And then the third category on data gathering is what

207
00:11:39.679 --> 00:11:41.480 A:middle L:90%
I just call recording. So it's just the more

208
00:11:41.480 --> 00:11:46.009 A:middle L:90%
or less the manual hectoring of data. So it

209
00:11:46.009 --> 00:11:46.929 A:middle L:90%
could be something you're putting on a laptop, could

210
00:11:46.929 --> 00:11:50.850 A:middle L:90%
be something you're putting into a tablet, uh you

211
00:11:50.850 --> 00:11:52.899 A:middle L:90%
know any kind of thing that you know sort more

212
00:11:52.899 --> 00:11:54.450 A:middle L:90%
or less involved, some type of keystroke or pens

213
00:11:54.450 --> 00:11:56.580 A:middle L:90%
or whatever else. And so again, when we

214
00:11:56.580 --> 00:12:01.669 A:middle L:90%
think about like with our without research facilities, you

215
00:12:01.669 --> 00:12:03.409 A:middle L:90%
know, we're doing a lot of data gathering out

216
00:12:03.419 --> 00:12:05.080 A:middle L:90%
field, so we're kind of out in the middle

217
00:12:05.080 --> 00:12:07.659 A:middle L:90%
of some cases nowhere, at least you can see

218
00:12:07.659 --> 00:12:09.950 A:middle L:90%
no word from there. Um And so we're thinking

219
00:12:09.950 --> 00:12:13.029 A:middle L:90%
about how do we get those devices connected? What

220
00:12:13.029 --> 00:12:13.559 A:middle L:90%
kinds of things do we do in real time,

221
00:12:13.559 --> 00:12:16.429 A:middle L:90%
all that sort of stuff, It's all related to

222
00:12:16.440 --> 00:12:20.750 A:middle L:90%
the data report and then the second category of,

223
00:12:22.539 --> 00:12:24.370 A:middle L:90%
I guess the day together and I talk about it's

224
00:12:24.370 --> 00:12:26.240 A:middle L:90%
just what I would call the creation. Yeah,

225
00:12:28.340 --> 00:12:30.889 A:middle L:90%
so for lack of a better term, I kind

226
00:12:30.889 --> 00:12:31.750 A:middle L:90%
of call it creative work. So this is where

227
00:12:33.139 --> 00:12:35.470 A:middle L:90%
I sort of generate stuff online that could be in

228
00:12:35.470 --> 00:12:37.590 A:middle L:90%
my case when I put on my administrator had that

229
00:12:37.600 --> 00:12:39.990 A:middle L:90%
might be a budget. Um If I'm in the

230
00:12:41.000 --> 00:12:43.970 A:middle L:90%
classroom, that might be how do I, how

231
00:12:43.970 --> 00:12:48.519 A:middle L:90%
do I articulate a particular concept to my students so

232
00:12:48.519 --> 00:12:50.990 A:middle L:90%
that they can kind of grasp the notion or grasp

233
00:12:50.990 --> 00:12:54.379 A:middle L:90%
the idea. And then the second part of that

234
00:12:54.379 --> 00:12:58.710 A:middle L:90%
one is uh more or less what I've turned the

235
00:12:58.720 --> 00:13:03.460 A:middle L:90%
data regressions. So we start off with a Davis

236
00:13:03.320 --> 00:13:07.600 A:middle L:90%
and then I want to I want to see what

237
00:13:07.600 --> 00:13:11.169 A:middle L:90%
the introduction of a particular variable does to that particular

238
00:13:11.179 --> 00:13:13.909 A:middle L:90%
dataset. So now I started out with a one

239
00:13:13.909 --> 00:13:16.559 A:middle L:90%
terabyte data set, I introduced a variable. Now

240
00:13:16.559 --> 00:13:18.639 A:middle L:90%
I have to one terabyte data sets and then that

241
00:13:18.649 --> 00:13:22.909 A:middle L:90%
goes 23 and four and 10. And then I

242
00:13:22.909 --> 00:13:24.759 A:middle L:90%
get to a point where I'm like okay enough of

243
00:13:24.759 --> 00:13:26.960 A:middle L:90%
that and blow it all away, go back to

244
00:13:26.960 --> 00:13:28.139 A:middle L:90%
my original dataset and start all over again with a

245
00:13:28.149 --> 00:13:31.370 A:middle L:90%
different set of areas. So what this does for

246
00:13:31.370 --> 00:13:37.500 A:middle L:90%
us is it means that we have to be cognizant

247
00:13:37.509 --> 00:13:41.820 A:middle L:90%
of the flex if you will in terms of data

248
00:13:41.820 --> 00:13:46.090 A:middle L:90%
body. So I have to kind of think about

249
00:13:46.090 --> 00:13:48.580 A:middle L:90%
what I'm looking at my data storage or what I'm

250
00:13:48.580 --> 00:13:50.570 A:middle L:90%
recommending from my faculty to have a data storage.

251
00:13:50.580 --> 00:13:52.480 A:middle L:90%
I've kind of got to be able to think about

252
00:13:52.490 --> 00:13:56.629 A:middle L:90%
right sizing that storage. I don't want to have

253
00:13:56.639 --> 00:13:58.529 A:middle L:90%
too little because they are going to run out of

254
00:13:58.529 --> 00:14:01.659 A:middle L:90%
space. But if I try to throw everything but

255
00:14:01.659 --> 00:14:03.070 A:middle L:90%
the kitchen sink at it, then I end up

256
00:14:03.080 --> 00:14:05.700 A:middle L:90%
with a lot more storage and a lot more expensive

257
00:14:05.710 --> 00:14:09.080 A:middle L:90%
I would ordinarily have. So that's a consideration that

258
00:14:09.080 --> 00:14:11.820 A:middle L:90%
comes, comes in for us when we kind of

259
00:14:11.830 --> 00:14:13.720 A:middle L:90%
think about what we're doing with data and data sets

260
00:14:13.720 --> 00:14:16.679 A:middle L:90%
and the impact of all the research and things that

261
00:14:16.679 --> 00:14:20.929 A:middle L:90%
goes on with that. So when we think about

262
00:14:20.929 --> 00:14:28.019 A:middle L:90%
data storage, um that's probably um probably the thing

263
00:14:28.029 --> 00:14:33.090 A:middle L:90%
that creates the most headache if you will for me

264
00:14:33.129 --> 00:14:37.299 A:middle L:90%
versus all these other things. And one of the

265
00:14:37.299 --> 00:14:41.909 A:middle L:90%
real reason behind that is because data storage is so

266
00:14:41.919 --> 00:14:46.649 A:middle L:90%
unpredictable. It's really hard for us to get a

267
00:14:46.659 --> 00:14:50.360 A:middle L:90%
grasp on data storage because what we're doing is we're

268
00:14:50.360 --> 00:14:54.049 A:middle L:90%
trying to predict what data story is going to be

269
00:14:54.539 --> 00:14:56.419 A:middle L:90%
, not just what it is. And the things

270
00:14:56.419 --> 00:14:58.570 A:middle L:90%
we were just talking about with the day of regression

271
00:14:58.570 --> 00:15:01.500 A:middle L:90%
and how that flex all kind of moves back and

272
00:15:01.500 --> 00:15:05.549 A:middle L:90%
forth. Um You know, our data growth in

273
00:15:05.139 --> 00:15:09.840 A:middle L:90%
way back in history uh was somewhat predictable and we

274
00:15:09.840 --> 00:15:11.409 A:middle L:90%
kind of saw typical trends of how the data was

275
00:15:11.419 --> 00:15:13.259 A:middle L:90%
growing and we could sort of plan for that.

276
00:15:13.840 --> 00:15:18.470 A:middle L:90%
But with all the other vectors that are coming into

277
00:15:18.470 --> 00:15:22.659 A:middle L:90%
play with data collection, our data storage lawyer is

278
00:15:22.659 --> 00:15:24.610 A:middle L:90%
growing exponentially. And so we're trying to sort of

279
00:15:24.620 --> 00:15:28.129 A:middle L:90%
try to get our arms around and how do we

280
00:15:28.139 --> 00:15:31.220 A:middle L:90%
how do we continue to grow our data storage capacity

281
00:15:31.230 --> 00:15:35.179 A:middle L:90%
and an affordable and sustainable manner? And then what

282
00:15:35.179 --> 00:15:37.460 A:middle L:90%
are all the options and everything that they go around

283
00:15:37.840 --> 00:15:41.679 A:middle L:90%
? So of course one of the big things that

284
00:15:41.679 --> 00:15:43.679 A:middle L:90%
these stories, how much I've got to know,

285
00:15:43.690 --> 00:15:46.419 A:middle L:90%
you know, are we dealing with gigabytes? Are

286
00:15:46.429 --> 00:15:50.549 A:middle L:90%
we dealing with terabytes, petabytes? Exabytes? Um

287
00:15:50.940 --> 00:15:54.409 A:middle L:90%
When when I was in ST I was involved with

288
00:15:54.409 --> 00:16:00.769 A:middle L:90%
a uh with a working group or a university committee

289
00:16:00.779 --> 00:16:06.529 A:middle L:90%
that was tasked with designing the next generation data.

290
00:16:07.740 --> 00:16:11.519 A:middle L:90%
And so I can tell you that this was absolutely

291
00:16:11.519 --> 00:16:14.419 A:middle L:90%
the most one of the most wonderful and one of

292
00:16:14.419 --> 00:16:18.350 A:middle L:90%
the most humbling experiences I've ever had because I was

293
00:16:18.360 --> 00:16:23.799 A:middle L:90%
by far the dumbest person we had, meteorologist and

294
00:16:23.809 --> 00:16:29.679 A:middle L:90%
geologists and people that we're dealing with exabytes and petabytes

295
00:16:29.679 --> 00:16:30.289 A:middle L:90%
and exabytes of data. I mean, we were

296
00:16:30.289 --> 00:16:33.139 A:middle L:90%
starting to run out of, you know, little

297
00:16:33.149 --> 00:16:36.669 A:middle L:90%
numbers in front of the white thing. And so

298
00:16:36.669 --> 00:16:38.110 A:middle L:90%
it was just interesting from their perspective to kind of

299
00:16:38.110 --> 00:16:42.559 A:middle L:90%
here, How they were using data and the kind

300
00:16:42.559 --> 00:16:45.509 A:middle L:90%
of data needs that they thought they were going to

301
00:16:45.509 --> 00:16:48.159 A:middle L:90%
have in the next 5, 10, 15 years

302
00:16:48.159 --> 00:16:48.639 A:middle L:90%
, which was kind of a cycle that we were

303
00:16:48.639 --> 00:16:52.279 A:middle L:90%
using around the around the data. So how much

304
00:16:52.279 --> 00:16:59.629 A:middle L:90%
is really important? How um for for us on

305
00:16:59.629 --> 00:17:03.120 A:middle L:90%
the I teach side, um we're always kind of

306
00:17:03.120 --> 00:17:07.349 A:middle L:90%
thinking about the frequency with which data is accessed.

307
00:17:07.039 --> 00:17:11.130 A:middle L:90%
So that kind of thing has an impact for us

308
00:17:11.140 --> 00:17:15.240 A:middle L:90%
on the type of storage media that we have,

309
00:17:15.240 --> 00:17:18.910 A:middle L:90%
the location of the storage media. Uh you know

310
00:17:18.910 --> 00:17:19.460 A:middle L:90%
, we have to think about the networks that you

311
00:17:19.460 --> 00:17:22.049 A:middle L:90%
have to think about, the frequency of this.

312
00:17:22.059 --> 00:17:25.200 A:middle L:90%
If we think about things like uh you know,

313
00:17:25.210 --> 00:17:27.450 A:middle L:90%
is a is a particular set of data gonna be

314
00:17:27.450 --> 00:17:32.769 A:middle L:90%
accessed relatively frequently in a short period of time.

315
00:17:33.140 --> 00:17:34.519 A:middle L:90%
And then beyond that we're probably not gonna do anything

316
00:17:34.529 --> 00:17:37.549 A:middle L:90%
with it that has an impact on the count of

317
00:17:37.549 --> 00:17:38.509 A:middle L:90%
storage that I purchased and it has an impact on

318
00:17:38.519 --> 00:17:45.319 A:middle L:90%
where I put that storage but that how fast um

319
00:17:45.329 --> 00:17:48.839 A:middle L:90%
obviously certain kinds of data require faster access than others

320
00:17:48.839 --> 00:17:51.170 A:middle L:90%
. So if I'm doing a lot of video editing

321
00:17:51.539 --> 00:17:53.539 A:middle L:90%
that requires a lot of fast access. If I'm

322
00:17:53.539 --> 00:17:56.250 A:middle L:90%
just doing tables or things like that, you know

323
00:17:56.250 --> 00:17:59.619 A:middle L:90%
, not so much. So I have to you

324
00:17:59.619 --> 00:18:00.559 A:middle L:90%
have to kind of work with the faculty, understand

325
00:18:00.559 --> 00:18:03.380 A:middle L:90%
you know what type of data that we're talking about

326
00:18:03.390 --> 00:18:06.430 A:middle L:90%
, How often they're gonna be doing that if we're

327
00:18:06.430 --> 00:18:08.380 A:middle L:90%
doing a bunch of more and more, I think

328
00:18:08.380 --> 00:18:11.400 A:middle L:90%
of our work is actually coming in the video.

329
00:18:11.430 --> 00:18:14.140 A:middle L:90%
I'm a, I'm a visual learner that really speaks

330
00:18:14.140 --> 00:18:15.690 A:middle L:90%
to me. So I understand all that, but

331
00:18:15.700 --> 00:18:18.390 A:middle L:90%
you know, that has an impact on the types

332
00:18:18.390 --> 00:18:22.869 A:middle L:90%
of storage and the types of media where it's stored

333
00:18:22.440 --> 00:18:26.549 A:middle L:90%
. Um, is there anybody that hasn't heard about

334
00:18:26.559 --> 00:18:29.950 A:middle L:90%
the cloud? Whatever. That little nebulous thing is

335
00:18:30.440 --> 00:18:32.720 A:middle L:90%
. Um, you know, a lot of,

336
00:18:32.730 --> 00:18:34.660 A:middle L:90%
uh, when, when, when the whole concept

337
00:18:34.660 --> 00:18:38.200 A:middle L:90%
of cloud storage begin begin coming around, one of

338
00:18:38.200 --> 00:18:41.259 A:middle L:90%
the things that a lot of administrators and even some

339
00:18:41.259 --> 00:18:42.549 A:middle L:90%
of our faculty hopped on board were like, we'll

340
00:18:42.549 --> 00:18:45.710 A:middle L:90%
just put it in the cloud because it's unlimited,

341
00:18:45.710 --> 00:18:48.720 A:middle L:90%
right? But it's not. And there's certain things

342
00:18:48.740 --> 00:18:51.839 A:middle L:90%
that we can put in the cloud and there's certain

343
00:18:51.839 --> 00:18:53.200 A:middle L:90%
things that we can't put in the club and we'll

344
00:18:53.200 --> 00:18:56.359 A:middle L:90%
talk a little bit later about about some of the

345
00:18:56.740 --> 00:19:00.220 A:middle L:90%
some of the regulatory pieces. But you know,

346
00:19:00.220 --> 00:19:03.990 A:middle L:90%
there's a there's a classification of data. Uh I

347
00:19:03.990 --> 00:19:07.099 A:middle L:90%
thought probably guys are probably familiar with that international trade

348
00:19:07.099 --> 00:19:10.720 A:middle L:90%
and arms agreement. It's a lot of that is

349
00:19:10.730 --> 00:19:14.450 A:middle L:90%
um you know, things that are protected in terms

350
00:19:14.450 --> 00:19:17.549 A:middle L:90%
of where they can be stored and who can actually

351
00:19:17.559 --> 00:19:19.640 A:middle L:90%
be involved in the management of that storage. So

352
00:19:19.640 --> 00:19:22.970 A:middle L:90%
without our data it's got to be stored within,

353
00:19:22.980 --> 00:19:23.859 A:middle L:90%
you know, it has to be stored within the

354
00:19:23.859 --> 00:19:27.359 A:middle L:90%
United States and then it has people who administer or

355
00:19:27.369 --> 00:19:30.000 A:middle L:90%
work on the machines where the data store had to

356
00:19:30.009 --> 00:19:32.660 A:middle L:90%
be U. S. Citizens. So okay,

357
00:19:32.750 --> 00:19:34.869 A:middle L:90%
we can do that maybe. But that presents problems

358
00:19:34.869 --> 00:19:37.329 A:middle L:90%
with people like google and people like amazon people like

359
00:19:37.329 --> 00:19:41.960 A:middle L:90%
Microsoft who have stuff spread everywhere. So they can

360
00:19:41.339 --> 00:19:45.740 A:middle L:90%
they can sort of give you a guarantee that is

361
00:19:45.740 --> 00:19:48.329 A:middle L:90%
going to be out are compatible. What do you

362
00:19:48.329 --> 00:19:52.529 A:middle L:90%
think that comes with price tag? It's infinitely more

363
00:19:52.529 --> 00:19:56.119 A:middle L:90%
expensive, sore that stuff in the cloud over those

364
00:19:56.119 --> 00:20:00.549 A:middle L:90%
kind of restrictions. So we have to think um

365
00:20:00.559 --> 00:20:07.269 A:middle L:90%
longevity, you know, any discussion of data uh

366
00:20:07.740 --> 00:20:14.700 A:middle L:90%
comes with the understanding of data retention rules, data

367
00:20:14.700 --> 00:20:18.319 A:middle L:90%
retention policies. Uh You know, we would all

368
00:20:18.319 --> 00:20:21.740 A:middle L:90%
like to think that uh once we put a particular

369
00:20:21.750 --> 00:20:25.299 A:middle L:90%
piece of data into storage that it's pretty much gonna

370
00:20:25.309 --> 00:20:29.579 A:middle L:90%
be there forever um since we just moved a couple

371
00:20:29.579 --> 00:20:32.000 A:middle L:90%
of years ago, I can definitively say that there's

372
00:20:32.000 --> 00:20:33.089 A:middle L:90%
a lot of stuff in my basement that has been

373
00:20:33.089 --> 00:20:37.690 A:middle L:90%
stored forever. Um but we we need to think

374
00:20:37.700 --> 00:20:41.180 A:middle L:90%
when we're when we're looking at that storage piece,

375
00:20:41.190 --> 00:20:42.690 A:middle L:90%
uh we need to think about what the retention rules

376
00:20:42.690 --> 00:20:45.160 A:middle L:90%
are around the data that's going in there. And

377
00:20:45.160 --> 00:20:49.720 A:middle L:90%
we have to think about the retention policies that are

378
00:20:49.720 --> 00:20:52.440 A:middle L:90%
associated with it. And I'll tell you a few

379
00:20:52.440 --> 00:20:56.549 A:middle L:90%
little horror stories here in a little yeah um data

380
00:20:56.549 --> 00:21:03.029 A:middle L:90%
security is probably the thing that gets the most headlines

381
00:21:03.039 --> 00:21:06.940 A:middle L:90%
when it comes, when it comes to take it

382
00:21:06.950 --> 00:21:10.019 A:middle L:90%
. Um you know, certainly anytime there's uh there's

383
00:21:10.019 --> 00:21:12.170 A:middle L:90%
a credit card breach from a company. Mhm.

384
00:21:14.339 --> 00:21:15.730 A:middle L:90%
How many have you ever gotten one of those little

385
00:21:15.730 --> 00:21:18.890 A:middle L:90%
letters? It says uh hey by the way we

386
00:21:18.890 --> 00:21:22.359 A:middle L:90%
screwed up and your Social security number has been compromised

387
00:21:23.039 --> 00:21:26.390 A:middle L:90%
. Got those, how many have you got that

388
00:21:26.390 --> 00:21:30.900 A:middle L:90%
call from your from your credit card company that says

389
00:21:30.910 --> 00:21:34.000 A:middle L:90%
um were you in Outer Mongolia last week? And

390
00:21:34.000 --> 00:21:37.529 A:middle L:90%
did you buy a leader of petrol for you know

391
00:21:37.539 --> 00:21:41.299 A:middle L:90%
for whatever their uh whatever their currency um You know

392
00:21:41.299 --> 00:21:44.309 A:middle L:90%
it's like somebody got your credit card numbers, you

393
00:21:44.309 --> 00:21:45.569 A:middle L:90%
got to go through that, you know, that

394
00:21:45.569 --> 00:21:48.269 A:middle L:90%
whole process. So the data security is one of

395
00:21:48.269 --> 00:21:49.839 A:middle L:90%
those things that uh, that everybody kind of goes

396
00:21:49.839 --> 00:21:52.900 A:middle L:90%
through and kind of points is uh, oh,

397
00:21:52.900 --> 00:21:53.420 A:middle L:90%
this is the one big thing that, you know

398
00:21:53.420 --> 00:21:56.220 A:middle L:90%
, that we really have to be worried about.

399
00:21:56.220 --> 00:21:59.900 A:middle L:90%
And it is, but in the context of a

400
00:21:59.900 --> 00:22:04.349 A:middle L:90%
lot of other things. So I think the posture

401
00:22:04.740 --> 00:22:11.089 A:middle L:90%
that and that we as it professionals, are sort

402
00:22:11.089 --> 00:22:15.230 A:middle L:90%
of beginning to adopt if you will, is that

403
00:22:15.230 --> 00:22:17.000 A:middle L:90%
is no longer a question of this. But it's

404
00:22:17.000 --> 00:22:19.549 A:middle L:90%
a question of when um, you know, we

405
00:22:21.539 --> 00:22:26.490 A:middle L:90%
will probably always be in a ketchup game when it

406
00:22:26.490 --> 00:22:33.140 A:middle L:90%
comes to securing systems and the degrees to which people

407
00:22:33.140 --> 00:22:37.559 A:middle L:90%
will go in order to penetrate those systems. So

408
00:22:37.569 --> 00:22:41.420 A:middle L:90%
, you know, it's it's no longer the uh

409
00:22:41.430 --> 00:22:44.950 A:middle L:90%
, you know, the, The reclusive 14 year

410
00:22:44.950 --> 00:22:47.259 A:middle L:90%
old sitting in their bedroom, you know, trying

411
00:22:47.259 --> 00:22:49.880 A:middle L:90%
to break in what's the scorpion, you know,

412
00:22:49.880 --> 00:22:52.259 A:middle L:90%
where he broke into massachusetts to get a poster first

413
00:22:52.259 --> 00:22:56.069 A:middle L:90%
one. Um, it's, uh, you know

414
00:22:56.069 --> 00:22:59.859 A:middle L:90%
, it's, it's organized crime. It's state sponsored

415
00:23:00.339 --> 00:23:00.559 A:middle L:90%
. And, you know, in a lot of

416
00:23:00.559 --> 00:23:03.710 A:middle L:90%
times our tendency is to think, well, you

417
00:23:03.710 --> 00:23:06.210 A:middle L:90%
know, what do they want with my system?

418
00:23:06.220 --> 00:23:07.740 A:middle L:90%
Well, it may not be they want anything that

419
00:23:07.750 --> 00:23:10.880 A:middle L:90%
you actually don't, they just want your system as

420
00:23:10.880 --> 00:23:14.390 A:middle L:90%
a vehicle to get to somewhere else. But in

421
00:23:14.390 --> 00:23:18.970 A:middle L:90%
the process of doing that, we entertain exposure to

422
00:23:18.980 --> 00:23:19.829 A:middle L:90%
data, the risk of data is going to be

423
00:23:19.829 --> 00:23:22.230 A:middle L:90%
compromised and risk of data is going to be stolen

424
00:23:22.240 --> 00:23:26.329 A:middle L:90%
or the risk of data is gonna move. So

425
00:23:26.339 --> 00:23:27.910 A:middle L:90%
I think our, our posture now, it's kind

426
00:23:27.910 --> 00:23:30.609 A:middle L:90%
of shifting more to the, uh, okay,

427
00:23:30.609 --> 00:23:34.490 A:middle L:90%
let's just assume that our systems are going to get

428
00:23:34.490 --> 00:23:40.660 A:middle L:90%
compromised at some point. What do we do to

429
00:23:40.670 --> 00:23:42.220 A:middle L:90%
either be able to recover from that or to make

430
00:23:42.220 --> 00:23:45.170 A:middle L:90%
sure that our data is not put at risk?

431
00:23:45.180 --> 00:23:47.589 A:middle L:90%
So it's really an important I think an important change

432
00:23:47.589 --> 00:23:52.660 A:middle L:90%
in our philosophy. Um So we have it's with

433
00:23:52.660 --> 00:23:56.890 A:middle L:90%
the security peace. Um There are internal things that

434
00:23:56.890 --> 00:24:00.200 A:middle L:90%
we deal with as well as the external things.

435
00:24:00.200 --> 00:24:00.980 A:middle L:90%
So you know, we can sort of think about

436
00:24:00.980 --> 00:24:03.819 A:middle L:90%
, okay, somebody is out there, you know

437
00:24:03.829 --> 00:24:06.319 A:middle L:90%
, banging away on the keyboard. They're trying to

438
00:24:06.329 --> 00:24:08.700 A:middle L:90%
you know trying to access our systems. Uh give

439
00:24:08.700 --> 00:24:11.619 A:middle L:90%
you just a little just a little bit of trivia

440
00:24:11.619 --> 00:24:14.210 A:middle L:90%
yet. I don't know the numbers here attack but

441
00:24:14.220 --> 00:24:15.869 A:middle L:90%
when I was a pencil work replaced with security office

442
00:24:15.869 --> 00:24:21.329 A:middle L:90%
on a couple of things Um in 2010 at Penn

443
00:24:21.329 --> 00:24:29.420 A:middle L:90%
State We got on average 120 million probes of our

444
00:24:29.420 --> 00:24:33.900 A:middle L:90%
network a month. That's how often people are trying

445
00:24:33.900 --> 00:24:38.559 A:middle L:90%
to access or to compromise data on a university system

446
00:24:40.440 --> 00:24:42.210 A:middle L:90%
. Um and you kind of read papers will find

447
00:24:42.210 --> 00:24:45.140 A:middle L:90%
out that, you know, last year they were

448
00:24:45.140 --> 00:24:48.119 A:middle L:90%
actually successful with College of Engineering. So, so

449
00:24:48.130 --> 00:24:49.710 A:middle L:90%
you know, there is just this activity is going

450
00:24:49.710 --> 00:24:52.049 A:middle L:90%
on. They're just not much way we're going to

451
00:24:52.059 --> 00:24:53.890 A:middle L:90%
prevent it. But some of the internal challenges we

452
00:24:53.900 --> 00:24:59.609 A:middle L:90%
have are some of the regulatory pieces that we've got

453
00:24:59.609 --> 00:25:00.599 A:middle L:90%
to be available that we have to think about.

454
00:25:00.599 --> 00:25:04.480 A:middle L:90%
So PC. I compliance payment card industry standards.

455
00:25:04.490 --> 00:25:08.410 A:middle L:90%
So anything that we're using where we take credit card

456
00:25:08.410 --> 00:25:14.049 A:middle L:90%
information falls under PC I guidelines so that credit card

457
00:25:14.059 --> 00:25:17.670 A:middle L:90%
data, even if we're not particularly holding the numbers

458
00:25:17.839 --> 00:25:19.349 A:middle L:90%
, just the transmission of those kinds of things are

459
00:25:19.359 --> 00:25:22.599 A:middle L:90%
some pretty stringent standards around how that stuff is handled

460
00:25:22.599 --> 00:25:26.650 A:middle L:90%
and how it's me. And if there is credit

461
00:25:26.650 --> 00:25:32.210 A:middle L:90%
card compromise um and numbers are compromised or something problems

462
00:25:32.210 --> 00:25:33.990 A:middle L:90%
, the way that we handle our transactions, the

463
00:25:34.000 --> 00:25:37.920 A:middle L:90%
penalties for that stuff are not insignificant, large breaches

464
00:25:37.920 --> 00:25:40.690 A:middle L:90%
and things, not even counting what you have to

465
00:25:40.700 --> 00:25:42.630 A:middle L:90%
pay to get, you know to do the the

466
00:25:42.630 --> 00:25:45.849 A:middle L:90%
credit card protection afterwards. But you know you're talking

467
00:25:45.859 --> 00:25:49.069 A:middle L:90%
millions of dollars and you end up in situations where

468
00:25:51.539 --> 00:25:53.140 A:middle L:90%
right now for most of the university we have kind

469
00:25:53.140 --> 00:25:56.359 A:middle L:90%
of what we call voluntary compliance if you will,

470
00:25:56.359 --> 00:25:59.099 A:middle L:90%
which means we kind of self manage ourselves within certain

471
00:25:59.099 --> 00:26:02.279 A:middle L:90%
guidelines. But once you go through a significant data

472
00:26:02.279 --> 00:26:04.980 A:middle L:90%
breach then you have to pay a a consultant to

473
00:26:04.980 --> 00:26:07.569 A:middle L:90%
come in and do that kind of manager. And

474
00:26:07.579 --> 00:26:11.380 A:middle L:90%
those consultants obviously don't come cheap. Um We talked

475
00:26:11.380 --> 00:26:15.690 A:middle L:90%
about, we talked about our tar uh ferpa so

476
00:26:15.690 --> 00:26:18.160 A:middle L:90%
all the protection of our student information and for pa

477
00:26:18.170 --> 00:26:22.099 A:middle L:90%
is a big driver in terms of uh just generally

478
00:26:22.099 --> 00:26:25.309 A:middle L:90%
how we manage systems here at the university, not

479
00:26:25.319 --> 00:26:26.819 A:middle L:90%
just think about the production of uh of the data

480
00:26:26.829 --> 00:26:30.809 A:middle L:90%
. Uh Of course hip uh most of you are

481
00:26:30.809 --> 00:26:34.619 A:middle L:90%
familiar with. Um there's a new one that we

482
00:26:34.619 --> 00:26:38.309 A:middle L:90%
actually I'm on one of the university committees, you

483
00:26:38.309 --> 00:26:40.660 A:middle L:90%
know, kind of looking at how we're gonna deal

484
00:26:40.660 --> 00:26:42.630 A:middle L:90%
with this one. But there's a new category out

485
00:26:42.630 --> 00:26:49.160 A:middle L:90%
called controlled unclassified information. And effectively that is that's

486
00:26:49.640 --> 00:26:56.829 A:middle L:90%
that's data from from the federal government that's um that's

487
00:26:56.829 --> 00:27:00.509 A:middle L:90%
not classified as you know within the regular classification ranges

488
00:27:00.509 --> 00:27:03.250 A:middle L:90%
. You know like you would expect from the Department

489
00:27:03.250 --> 00:27:07.660 A:middle L:90%
of Defense. But see you I data comes with

490
00:27:08.640 --> 00:27:17.230 A:middle L:90%
178 different data protection requirements. So if I get

491
00:27:17.240 --> 00:27:22.450 A:middle L:90%
one of my faculty uh lands of federal grant and

492
00:27:22.450 --> 00:27:26.140 A:middle L:90%
the data associated with that grant is classified by that

493
00:27:26.140 --> 00:27:29.359 A:middle L:90%
particular agency is being C. U. I.

494
00:27:29.940 --> 00:27:34.140 A:middle L:90%
Then I've got 178 things but I have to in

495
00:27:34.150 --> 00:27:38.690 A:middle L:90%
order to protect that data so that it meets the

496
00:27:38.690 --> 00:27:41.299 A:middle L:90%
federal government standards. And some of those are not

497
00:27:41.299 --> 00:27:44.430 A:middle L:90%
insignificant one of them. But you know, we

498
00:27:44.430 --> 00:27:45.019 A:middle L:90%
thought a couple years ago this would be kind of

499
00:27:45.019 --> 00:27:47.690 A:middle L:90%
a challenge. It's not so much today. But

500
00:27:47.700 --> 00:27:49.079 A:middle L:90%
you know your all seeing the publicity about two factor

501
00:27:49.079 --> 00:27:52.849 A:middle L:90%
authentication. Well that's one of the big restrictions under

502
00:27:52.859 --> 00:27:55.640 A:middle L:90%
see you out. There's things about who can access

503
00:27:55.640 --> 00:27:59.710 A:middle L:90%
that. There's things about uh huh. About wireless

504
00:27:59.710 --> 00:28:03.180 A:middle L:90%
communications of the data. So if we think about

505
00:28:03.190 --> 00:28:04.049 A:middle L:90%
when we think about making that stuff available to the

506
00:28:04.059 --> 00:28:07.049 A:middle L:90%
public or what we're gonna do with you, I

507
00:28:07.049 --> 00:28:10.230 A:middle L:90%
was going to be a really really important, a

508
00:28:10.230 --> 00:28:12.259 A:middle L:90%
really important category for us moving forward and thinking about

509
00:28:12.259 --> 00:28:15.680 A:middle L:90%
how we deal with, let me stop. I've

510
00:28:15.680 --> 00:28:17.539 A:middle L:90%
been riding alone for a while. What kind of

511
00:28:17.539 --> 00:28:19.029 A:middle L:90%
questions do you have about what I'm talking about so

512
00:28:19.029 --> 00:28:23.119 A:middle L:90%
far makes sense. Told you anything you didn't already

513
00:28:23.119 --> 00:28:27.910 A:middle L:90%
know. So when you're dealing with the data that

514
00:28:27.920 --> 00:28:30.250 A:middle L:90%
means to comply with the U. I. How

515
00:28:30.259 --> 00:28:34.400 A:middle L:90%
often do they like is there even any like a

516
00:28:34.400 --> 00:28:40.309 A:middle L:90%
random mind during to see there you guys are compliant

517
00:28:40.329 --> 00:28:41.309 A:middle L:90%
? Quite also, we really don't know. I

518
00:28:41.420 --> 00:28:45.980 A:middle L:90%
haven't been out there long enough. We're assuming that

519
00:28:45.980 --> 00:28:48.430 A:middle L:90%
it probably would. Um One of our challenges will

520
00:28:48.430 --> 00:28:52.390 A:middle L:90%
see you out right now is that the the rules

521
00:28:52.480 --> 00:28:57.059 A:middle L:90%
keep changing a little bit. One of the,

522
00:28:57.640 --> 00:29:00.670 A:middle L:90%
one of the cuz requirements. Kind of this kind

523
00:29:00.670 --> 00:29:00.849 A:middle L:90%
of a funny thing, it's just sort of how

524
00:29:00.849 --> 00:29:03.859 A:middle L:90%
, you know the government is really working for you

525
00:29:03.240 --> 00:29:07.099 A:middle L:90%
. Um What is the U. I. Requirements

526
00:29:07.099 --> 00:29:11.339 A:middle L:90%
is that is that they require you that uh if

527
00:29:11.339 --> 00:29:12.819 A:middle L:90%
you have a machine that's gonna be accessing see you

528
00:29:12.819 --> 00:29:18.539 A:middle L:90%
idea. That machine can only be used to access

529
00:29:18.549 --> 00:29:19.730 A:middle L:90%
. See you idea. Right? So if you're

530
00:29:19.730 --> 00:29:22.630 A:middle L:90%
processing that day you can't do your email on.

531
00:29:22.630 --> 00:29:23.019 A:middle L:90%
You can surf the web can do that kind of

532
00:29:23.019 --> 00:29:27.730 A:middle L:90%
stuff. Okay. The other thing is really strange

533
00:29:27.730 --> 00:29:33.009 A:middle L:90%
is that the computer that you used to process the

534
00:29:33.009 --> 00:29:40.549 A:middle L:90%
requisition to purchase the computer is also considered cva nothing

535
00:29:40.549 --> 00:29:42.420 A:middle L:90%
weird thing in the world. I mean so anyway

536
00:29:42.430 --> 00:29:45.490 A:middle L:90%
so we're that kind of gives you a sense of

537
00:29:45.490 --> 00:29:47.650 A:middle L:90%
what were you know kind of what we're dealing with

538
00:29:47.650 --> 00:29:53.230 A:middle L:90%
this stuff. So uh it didn't make any difference

539
00:29:53.240 --> 00:29:59.450 A:middle L:90%
how hard we try what all we do data is

540
00:29:59.450 --> 00:30:02.859 A:middle L:90%
going to get lost. It's going to get deleted

541
00:30:03.339 --> 00:30:06.230 A:middle L:90%
or it's going to get stolen. That's just the

542
00:30:06.240 --> 00:30:11.440 A:middle L:90%
way it is. So we have to be very

543
00:30:11.450 --> 00:30:19.150 A:middle L:90%
very uh purposeful and our efforts to back up and

544
00:30:19.160 --> 00:30:25.140 A:middle L:90%
recover. Okay. And you know, the real

545
00:30:25.150 --> 00:30:30.359 A:middle L:90%
the real deal here is that if if the only

546
00:30:30.359 --> 00:30:32.869 A:middle L:90%
thing was having the technology to do it, it

547
00:30:32.869 --> 00:30:33.779 A:middle L:90%
wouldn't be a problem. I mean the technologies to

548
00:30:33.789 --> 00:30:37.519 A:middle L:90%
back up data have been around for years. Every

549
00:30:37.519 --> 00:30:38.589 A:middle L:90%
time you've got a disk, you put the date

550
00:30:38.589 --> 00:30:41.680 A:middle L:90%
on one disk, you put another copy on another

551
00:30:41.680 --> 00:30:42.470 A:middle L:90%
disk and you put the other distance, you can

552
00:30:42.470 --> 00:30:45.900 A:middle L:90%
do that kind of stuff. The problem is that's

553
00:30:45.900 --> 00:30:48.859 A:middle L:90%
a manual process and people forget to do it.

554
00:30:48.640 --> 00:30:53.119 A:middle L:90%
That's where the struggle. So when I when I

555
00:30:53.130 --> 00:30:56.849 A:middle L:90%
came back to campus uh two years ago, um

556
00:30:57.539 --> 00:31:00.700 A:middle L:90%
one of the first things I did is I really

557
00:31:00.700 --> 00:31:03.460 A:middle L:90%
just started wandering, if you will through the college

558
00:31:03.839 --> 00:31:07.910 A:middle L:90%
, um, meeting with department is meeting with faculty

559
00:31:07.920 --> 00:31:11.670 A:middle L:90%
, meeting with our extension agents, being with administrators

560
00:31:11.539 --> 00:31:12.980 A:middle L:90%
. Um, you know, really just trying to

561
00:31:12.980 --> 00:31:15.779 A:middle L:90%
get a sense of a land where are some of

562
00:31:15.779 --> 00:31:17.680 A:middle L:90%
the things that we were doing well for some of

563
00:31:17.680 --> 00:31:18.589 A:middle L:90%
the things we weren't doing very well, where some

564
00:31:18.589 --> 00:31:22.960 A:middle L:90%
of the things that people really clamoring for. And

565
00:31:22.970 --> 00:31:25.160 A:middle L:90%
, you know, one of the things that I

566
00:31:25.160 --> 00:31:30.119 A:middle L:90%
found is we really did a crappy job 10 of

567
00:31:30.130 --> 00:31:33.750 A:middle L:90%
backing up our data. We really didn't have an

568
00:31:33.759 --> 00:31:37.109 A:middle L:90%
organized method or an organized system, if you will

569
00:31:37.170 --> 00:31:42.309 A:middle L:90%
, of data backup. So well, the first

570
00:31:42.309 --> 00:31:45.369 A:middle L:90%
initiatives that we did is, uh, put together

571
00:31:45.380 --> 00:31:48.420 A:middle L:90%
a team of folks and we looked at a number

572
00:31:48.420 --> 00:31:51.950 A:middle L:90%
of different applications and kind of put them through their

573
00:31:51.960 --> 00:31:56.450 A:middle L:90%
paces and so on. So, and I'm actually

574
00:31:56.940 --> 00:31:59.119 A:middle L:90%
, you know, with pretty good degree of certainty

575
00:31:59.130 --> 00:32:05.599 A:middle L:90%
. Tell you, David about 95 of the faculty

576
00:32:05.609 --> 00:32:08.920 A:middle L:90%
and staff extension agents ministries home. So in our

577
00:32:08.920 --> 00:32:14.210 A:middle L:90%
college have their data reliably backed up and in a

578
00:32:14.210 --> 00:32:16.490 A:middle L:90%
fashion that allows us to easily restore it and keep

579
00:32:16.490 --> 00:32:21.000 A:middle L:90%
it secure. We we went through the process,

580
00:32:21.000 --> 00:32:22.619 A:middle L:90%
we ended up with a we ended up with a

581
00:32:22.630 --> 00:32:27.130 A:middle L:90%
product called called Crash Plan. It's from a company

582
00:32:27.130 --> 00:32:30.069 A:middle L:90%
called Code 42. Uh, we felt like it

583
00:32:30.069 --> 00:32:32.559 A:middle L:90%
gave us a lot of flexibility in terms of the

584
00:32:32.569 --> 00:32:37.450 A:middle L:90%
diversity of our storage needs because again, we've got

585
00:32:37.839 --> 00:32:40.799 A:middle L:90%
storage here on campus with folks, we've got our

586
00:32:40.809 --> 00:32:44.740 A:middle L:90%
all the off campus locations that we deal with all

587
00:32:44.740 --> 00:32:46.349 A:middle L:90%
kinds of different bandwidth restrictions and all that sort of

588
00:32:46.349 --> 00:32:50.029 A:middle L:90%
stuff. So, so this is kind of an

589
00:32:50.039 --> 00:32:54.460 A:middle L:90%
unabashed advertisement and uh and plea that as you,

590
00:32:54.470 --> 00:32:58.009 A:middle L:90%
you know, you kind of work with folks at

591
00:32:58.009 --> 00:33:00.240 A:middle L:90%
the university and you encounter people that are kind of

592
00:33:00.240 --> 00:33:06.880 A:middle L:90%
looking for reliable data backup and recovery solutions point of

593
00:33:06.880 --> 00:33:08.740 A:middle L:90%
our way because what we did is we we actually

594
00:33:08.740 --> 00:33:14.329 A:middle L:90%
negotiated the contract so that we could implement crash plan

595
00:33:14.329 --> 00:33:16.710 A:middle L:90%
on a university wide scale. So in addition to

596
00:33:16.710 --> 00:33:19.740 A:middle L:90%
our college today we have folks in business, we

597
00:33:19.740 --> 00:33:21.809 A:middle L:90%
have folks in liberal large, we have folks in

598
00:33:21.809 --> 00:33:24.359 A:middle L:90%
engineering, they're all effectively just using the same system

599
00:33:24.940 --> 00:33:30.049 A:middle L:90%
. It provides us with a mix of uh private

600
00:33:30.059 --> 00:33:30.990 A:middle L:90%
cloud, in other words, sources that we have

601
00:33:30.990 --> 00:33:35.319 A:middle L:90%
here on campus as well as public cloud stuff that's

602
00:33:35.329 --> 00:33:38.309 A:middle L:90%
secure and encrypted and available to uh through co 42

603
00:33:38.309 --> 00:33:42.970 A:middle L:90%
storage. And and it's also really really cheap.

604
00:33:42.980 --> 00:33:45.940 A:middle L:90%
Uh When I was kind of talking about this with

605
00:33:45.940 --> 00:33:47.960 A:middle L:90%
some faculty, uh you know, one of the

606
00:33:47.970 --> 00:33:50.910 A:middle L:90%
, one of the questions that they asked how much

607
00:33:50.910 --> 00:33:52.470 A:middle L:90%
the cost? Well at the time I think we

608
00:33:52.470 --> 00:33:53.480 A:middle L:90%
had the time I was going to cost us like

609
00:33:53.480 --> 00:33:57.700 A:middle L:90%
$75 per person per year. No thought for your

610
00:33:57.700 --> 00:34:00.660 A:middle L:90%
life or do I wipe my check? Because it's

611
00:34:00.660 --> 00:34:02.289 A:middle L:90%
not, you know, it's not just it's not

612
00:34:02.289 --> 00:34:05.819 A:middle L:90%
just data in general from for so many of our

613
00:34:05.829 --> 00:34:07.570 A:middle L:90%
folks, this is their career, this is I

614
00:34:07.570 --> 00:34:12.030 A:middle L:90%
mean everything that they've ever done professionally falls into some

615
00:34:12.030 --> 00:34:14.429 A:middle L:90%
type of data category. So it was just just

616
00:34:14.429 --> 00:34:15.880 A:middle L:90%
a nice way for us to kind of go through

617
00:34:15.880 --> 00:34:20.110 A:middle L:90%
and do the whole data system. So first when

618
00:34:20.110 --> 00:34:22.719 A:middle L:90%
we lose data um it's a loss of productivity,

619
00:34:22.730 --> 00:34:25.170 A:middle L:90%
you gotta go back and re create it. Mhm

620
00:34:27.340 --> 00:34:30.699 A:middle L:90%
. Its relationship damage. So you've got somebody that's

621
00:34:30.699 --> 00:34:31.969 A:middle L:90%
expecting you to have their data and to keep it

622
00:34:31.980 --> 00:34:34.610 A:middle L:90%
and you don't do it and you don't do it

623
00:34:34.610 --> 00:34:37.630 A:middle L:90%
effectively and that damages your relationship. And of course

624
00:34:37.630 --> 00:34:43.380 A:middle L:90%
, you've got contractual obligations, branding agencies, you've

625
00:34:43.380 --> 00:34:46.309 A:middle L:90%
been giving you money to generate data and they expect

626
00:34:46.309 --> 00:34:47.880 A:middle L:90%
you to keep it. And I know today you've

627
00:34:47.880 --> 00:34:50.289 A:middle L:90%
got to think on the agenda, you've got something

628
00:34:50.289 --> 00:34:52.550 A:middle L:90%
update, you're doing your data management plans and you

629
00:34:52.550 --> 00:34:54.409 A:middle L:90%
know how that how that if you hold that kind

630
00:34:54.409 --> 00:34:58.679 A:middle L:90%
of stuff works. So it's essential I think for

631
00:34:58.679 --> 00:35:00.690 A:middle L:90%
us to you really think about our ability to,

632
00:35:00.699 --> 00:35:05.070 A:middle L:90%
you know, kind of back this stuff up and

633
00:35:05.079 --> 00:35:09.059 A:middle L:90%
be able to get it back. So of course

634
00:35:09.070 --> 00:35:10.659 A:middle L:90%
the data don't do so good. You can't use

635
00:35:10.659 --> 00:35:14.909 A:middle L:90%
it, right? So, so we think a

636
00:35:14.909 --> 00:35:17.960 A:middle L:90%
lot about um you know how the data is going

637
00:35:17.960 --> 00:35:22.179 A:middle L:90%
to be used and by whom. So one of

638
00:35:22.179 --> 00:35:27.820 A:middle L:90%
the one of the conversations that we have when uh

639
00:35:27.829 --> 00:35:30.250 A:middle L:90%
when folks come to us about, you know,

640
00:35:30.250 --> 00:35:31.139 A:middle L:90%
it could be anything, could be somebody comes and

641
00:35:31.139 --> 00:35:34.460 A:middle L:90%
says, well, I need a database to do

642
00:35:34.469 --> 00:35:37.750 A:middle L:90%
X. Um we really try to get into a

643
00:35:37.760 --> 00:35:40.159 A:middle L:90%
conversation about how are you going to use the data

644
00:35:40.639 --> 00:35:44.159 A:middle L:90%
? And uh, you know, I'm trying to

645
00:35:44.170 --> 00:35:47.409 A:middle L:90%
get sort of a better feel of, you know

646
00:35:47.409 --> 00:35:51.300 A:middle L:90%
, is this being generated by one system and you've

647
00:35:51.300 --> 00:35:52.010 A:middle L:90%
got to move the data? Something else? We

648
00:35:52.010 --> 00:35:55.559 A:middle L:90%
kind of think about file compatibility issues around that.

649
00:35:55.570 --> 00:35:58.380 A:middle L:90%
Um, you know, it used to be your

650
00:35:58.389 --> 00:35:59.980 A:middle L:90%
it's not quite as bad as it used to be

651
00:35:59.989 --> 00:36:00.210 A:middle L:90%
, but, you know, we used to have

652
00:36:00.210 --> 00:36:02.550 A:middle L:90%
the whole uh, you know, Mac vs.

653
00:36:02.550 --> 00:36:06.659 A:middle L:90%
Windows battle that, you know, we generate something

654
00:36:06.659 --> 00:36:07.969 A:middle L:90%
in a Windows environment. You know, the backs

655
00:36:07.969 --> 00:36:10.199 A:middle L:90%
can't use it, we generate something back environment and

656
00:36:10.199 --> 00:36:12.849 A:middle L:90%
Windows can't use it and all that sort of stuff

657
00:36:12.929 --> 00:36:14.349 A:middle L:90%
, Most of that's kind of gone away, but

658
00:36:14.349 --> 00:36:19.880 A:middle L:90%
it is still a consideration um We think about the

659
00:36:19.880 --> 00:36:24.150 A:middle L:90%
sustainability and this is um probably get a little bit

660
00:36:24.150 --> 00:36:29.840 A:middle L:90%
more um into your area of expertise. But um

661
00:36:30.329 --> 00:36:32.469 A:middle L:90%
you know in a perfect world we go by software

662
00:36:32.469 --> 00:36:35.989 A:middle L:90%
package and then that software package would just be good

663
00:36:35.989 --> 00:36:37.869 A:middle L:90%
for the rest of our lives. But you know

664
00:36:37.880 --> 00:36:40.500 A:middle L:90%
we as I. T. People uh we've sort

665
00:36:40.500 --> 00:36:45.610 A:middle L:90%
of built our profession and our importance in the world

666
00:36:45.619 --> 00:36:50.329 A:middle L:90%
in upgrading software. So we you know, we

667
00:36:50.329 --> 00:36:52.320 A:middle L:90%
start off with this version, we have to upgrade

668
00:36:52.320 --> 00:36:52.659 A:middle L:90%
to a new version, we have to upgrade to

669
00:36:52.659 --> 00:36:54.659 A:middle L:90%
a new version. We have to think about what

670
00:36:54.670 --> 00:36:59.219 A:middle L:90%
the ramifications of all of that on the data that

671
00:36:59.219 --> 00:37:01.800 A:middle L:90%
we captured way back when. So you know,

672
00:37:01.809 --> 00:37:06.219 A:middle L:90%
my first spreadsheet was a product called Lotus 123 My

673
00:37:06.230 --> 00:37:08.059 A:middle L:90%
first word processor was Word Star, you know,

674
00:37:08.070 --> 00:37:14.010 A:middle L:90%
so the products don't exist anymore. Uh But if

675
00:37:14.010 --> 00:37:15.960 A:middle L:90%
we had data that you know, that was,

676
00:37:15.130 --> 00:37:16.570 A:middle L:90%
you know, it was stored in those things,

677
00:37:16.570 --> 00:37:19.929 A:middle L:90%
how are we gonna get that stuff back? Um

678
00:37:19.940 --> 00:37:22.130 A:middle L:90%
You know, the other thing about the sustainability is

679
00:37:22.130 --> 00:37:24.659 A:middle L:90%
not just the software, but it's also the media

680
00:37:25.230 --> 00:37:29.179 A:middle L:90%
. So again, remember my little thermal paper deal

681
00:37:29.190 --> 00:37:31.030 A:middle L:90%
, Right? Uh Well, I went from thermal

682
00:37:31.030 --> 00:37:35.010 A:middle L:90%
paper are graduated to a five and a quarter inch

683
00:37:35.010 --> 00:37:37.719 A:middle L:90%
floppy disk. That was a big step up.

684
00:37:37.719 --> 00:37:39.210 A:middle L:90%
I could get a whopping was 512 K. or

685
00:37:39.210 --> 00:37:43.719 A:middle L:90%
something on those things. Um And then uh and

686
00:37:43.719 --> 00:37:46.050 A:middle L:90%
then we went from that to a 3.5 inch little

687
00:37:46.050 --> 00:37:51.219 A:middle L:90%
disk, right? That was at 1.44 megabytes.

688
00:37:51.230 --> 00:37:54.389 A:middle L:90%
Uh Again, just astronomical standards for the day.

689
00:37:54.400 --> 00:37:58.889 A:middle L:90%
Um Actually about two years ago I had, somebody

690
00:37:58.889 --> 00:38:00.840 A:middle L:90%
had, if I remember called me and he had

691
00:38:00.840 --> 00:38:04.019 A:middle L:90%
a whole stack of these 3.5 inch discounts and he

692
00:38:04.019 --> 00:38:06.349 A:middle L:90%
wanted anyone to know if there was any way that

693
00:38:06.349 --> 00:38:08.409 A:middle L:90%
he could copy that data onto something else, like

694
00:38:08.420 --> 00:38:10.739 A:middle L:90%
you have kids, you actually found one of my

695
00:38:10.739 --> 00:38:14.949 A:middle L:90%
geeky employees that actually have a 3.5 inch of this

696
00:38:15.030 --> 00:38:15.630 A:middle L:90%
machine at home. So we were able to kind

697
00:38:15.630 --> 00:38:17.489 A:middle L:90%
of, yeah, here in the library, we

698
00:38:17.489 --> 00:38:21.969 A:middle L:90%
have support, yeah, they have machines that are

699
00:38:21.969 --> 00:38:23.860 A:middle L:90%
able to do that. And had, I know

700
00:38:23.860 --> 00:38:27.610 A:middle L:90%
that I was appointed him right here. Of course

701
00:38:27.610 --> 00:38:31.300 A:middle L:90%
, people have had to have driven people, but

702
00:38:31.340 --> 00:38:34.900 A:middle L:90%
, but again, you know, it's, you

703
00:38:34.900 --> 00:38:36.289 A:middle L:90%
know, it's not just captured, we've got to

704
00:38:36.289 --> 00:38:37.230 A:middle L:90%
think about, you know, historically, it's not

705
00:38:37.239 --> 00:38:39.320 A:middle L:90%
, you know, it's, you know, some

706
00:38:39.320 --> 00:38:42.880 A:middle L:90%
cases, you know, the books we have upstairs

707
00:38:42.889 --> 00:38:44.559 A:middle L:90%
, you know, we have a lot more sustainability

708
00:38:44.570 --> 00:38:45.659 A:middle L:90%
to them. Uh you know, we think about

709
00:38:45.659 --> 00:38:50.829 A:middle L:90%
it then we do some digital just along those lines

710
00:38:50.840 --> 00:38:52.809 A:middle L:90%
. People who kept their data on magnetic tape,

711
00:38:52.820 --> 00:38:58.539 A:middle L:90%
the tape, the tape will degrade unless you unless

712
00:38:58.539 --> 00:39:01.800 A:middle L:90%
you rewind them and read them and every, yep

713
00:39:01.809 --> 00:39:05.440 A:middle L:90%
. Exactly. So you know, these are just

714
00:39:05.449 --> 00:39:07.949 A:middle L:90%
, these are just considerations that we have to just

715
00:39:07.949 --> 00:39:12.409 A:middle L:90%
have to kind of keep thinking about. Um So

716
00:39:12.420 --> 00:39:17.489 A:middle L:90%
uh probably the uh the single biggest question I get

717
00:39:17.489 --> 00:39:21.340 A:middle L:90%
from faculty when they're coming to us about data stuff

718
00:39:21.349 --> 00:39:22.659 A:middle L:90%
is you know, they want okay, so how

719
00:39:22.659 --> 00:39:23.340 A:middle L:90%
am I going to be able to share this data

720
00:39:24.019 --> 00:39:28.110 A:middle L:90%
a lot of times? That's going to be with

721
00:39:28.119 --> 00:39:31.469 A:middle L:90%
you with a colleague at another institution? Uh Can

722
00:39:31.480 --> 00:39:36.559 A:middle L:90%
the colleague uh add to my data uh good store

723
00:39:36.559 --> 00:39:39.239 A:middle L:90%
here in Virginia Tech, can they edit the data

724
00:39:39.250 --> 00:39:42.789 A:middle L:90%
? Can I prevent them from editing the data?

725
00:39:42.800 --> 00:39:47.300 A:middle L:90%
So um so we have to remember that that a

726
00:39:47.300 --> 00:39:51.679 A:middle L:90%
lot of this stuff is now, particularly with more

727
00:39:51.679 --> 00:39:54.480 A:middle L:90%
and more of our grants, their their their interdisciplinary

728
00:39:54.480 --> 00:40:00.239 A:middle L:90%
their multi institutional. So um we have to consider

729
00:40:00.239 --> 00:40:05.139 A:middle L:90%
the cold collaboration piece. What are the uh what

730
00:40:05.139 --> 00:40:07.369 A:middle L:90%
are the forum? What are the forums that allow

731
00:40:07.369 --> 00:40:10.659 A:middle L:90%
us to collaborate with other individuals share our day,

732
00:40:10.659 --> 00:40:13.949 A:middle L:90%
allow the abuse our data add to our data modifier

733
00:40:13.949 --> 00:40:20.460 A:middle L:90%
datas on so forth. Uh I got to consider

734
00:40:20.469 --> 00:40:22.030 A:middle L:90%
sort of call this enhancing the science. Can't really

735
00:40:22.030 --> 00:40:24.829 A:middle L:90%
think of a better term before other than um there

736
00:40:24.829 --> 00:40:28.050 A:middle L:90%
are some cyber science missions out there to do that

737
00:40:28.059 --> 00:40:34.929 A:middle L:90%
. But it's it's thinking about how particular data uh

738
00:40:35.710 --> 00:40:40.250 A:middle L:90%
impacts other disciplines. He either on an intentional or

739
00:40:40.260 --> 00:40:45.610 A:middle L:90%
unintentional basis. And so uh you're one of the

740
00:40:45.610 --> 00:40:51.579 A:middle L:90%
examples from our college is his weather data. So

741
00:40:51.590 --> 00:40:54.909 A:middle L:90%
we may have say 10 years of meteorological data stored

742
00:40:54.909 --> 00:40:59.150 A:middle L:90%
somewhere. Probably wasn't generated by us, probably generated

743
00:40:59.150 --> 00:41:01.630 A:middle L:90%
by somebody else. But then what we can do

744
00:41:02.210 --> 00:41:07.489 A:middle L:90%
is we can use that data, say in our

745
00:41:07.500 --> 00:41:10.599 A:middle L:90%
in our plant pathology and wheat science department and our

746
00:41:10.599 --> 00:41:15.170 A:middle L:90%
Entomology department and develop models and do predictability of things

747
00:41:15.170 --> 00:41:20.789 A:middle L:90%
like pest infestations. You know, how does we

748
00:41:20.789 --> 00:41:23.289 A:middle L:90%
also look at things like how this temperature and uh

749
00:41:23.300 --> 00:41:28.690 A:middle L:90%
wind currents affect when we apply a pesticide or when

750
00:41:28.690 --> 00:41:30.559 A:middle L:90%
we don't apply pesticide? Um You know, there's

751
00:41:30.559 --> 00:41:34.210 A:middle L:90%
also been some studies where people use weather data for

752
00:41:34.210 --> 00:41:37.320 A:middle L:90%
predicting like influenza outbreaks and things like that. So

753
00:41:37.329 --> 00:41:44.519 A:middle L:90%
it's sort of thinking about how we can either access

754
00:41:44.530 --> 00:41:47.030 A:middle L:90%
or we can socialize the data that we have so

755
00:41:47.030 --> 00:41:52.380 A:middle L:90%
that other disciplines can take advantage of that data and

756
00:41:52.389 --> 00:41:53.389 A:middle L:90%
and a lot of cases using the ways that we

757
00:41:53.389 --> 00:41:55.110 A:middle L:90%
may have not, you know, not really have

758
00:41:55.110 --> 00:41:59.739 A:middle L:90%
thought about when we originally generated. Mhm. Um

759
00:42:00.500 --> 00:42:02.820 A:middle L:90%
Okay, believe it or not, we do end

760
00:42:02.820 --> 00:42:07.269 A:middle L:90%
up in cases where we want data removed. Now

761
00:42:07.280 --> 00:42:13.730 A:middle L:90%
I'm kind of a historical kind of guy by nature

762
00:42:14.199 --> 00:42:16.440 A:middle L:90%
. You know I just I love history and the

763
00:42:16.449 --> 00:42:21.420 A:middle L:90%
thought of like getting rid of something that's historical.

764
00:42:21.429 --> 00:42:22.489 A:middle L:90%
Uh it's something that kind of just sort of grates

765
00:42:22.489 --> 00:42:25.730 A:middle L:90%
on me but but we do have cases where data

766
00:42:25.730 --> 00:42:30.980 A:middle L:90%
removal is important. Um And it's you know,

767
00:42:30.980 --> 00:42:35.920 A:middle L:90%
I always like to think a lot of my staff

768
00:42:36.400 --> 00:42:39.530 A:middle L:90%
in previous years particularly um you know when we started

769
00:42:39.530 --> 00:42:43.449 A:middle L:90%
running up against ceilings on data storage, like people

770
00:42:43.449 --> 00:42:45.099 A:middle L:90%
just need to go in and delete some of this

771
00:42:45.110 --> 00:42:46.239 A:middle L:90%
junk that they've got in there that they really don't

772
00:42:46.239 --> 00:42:50.400 A:middle L:90%
need. And that is an absolutely wonderful concept.

773
00:42:50.409 --> 00:42:53.300 A:middle L:90%
And it will never ever ever ever happen because we're

774
00:42:53.300 --> 00:42:58.690 A:middle L:90%
a victim of our own success. It's not like

775
00:42:58.699 --> 00:43:01.260 A:middle L:90%
my basement that has a very finite volume to it

776
00:43:01.269 --> 00:43:06.000 A:middle L:90%
, right? You know we keep adding data storage

777
00:43:06.010 --> 00:43:07.309 A:middle L:90%
and we keep doing it cheaper and cheaper and cheaper

778
00:43:07.800 --> 00:43:10.179 A:middle L:90%
. And there's really not much incentive for you to

779
00:43:10.179 --> 00:43:13.750 A:middle L:90%
delete stuff because we keep finding places for you to

780
00:43:13.750 --> 00:43:16.989 A:middle L:90%
start. So the whole thing about the housekeeping deal

781
00:43:17.000 --> 00:43:20.670 A:middle L:90%
just probably didn't want to happen. Uh You know

782
00:43:20.679 --> 00:43:22.409 A:middle L:90%
you're just not going to go in and delete something

783
00:43:22.409 --> 00:43:23.489 A:middle L:90%
just because you're trying to be a really good that

784
00:43:23.489 --> 00:43:25.820 A:middle L:90%
citizen and you're trying to save any money and headache

785
00:43:28.500 --> 00:43:32.369 A:middle L:90%
. But there are things that really should be deleted

786
00:43:32.510 --> 00:43:37.309 A:middle L:90%
and they should be deleted on some type of plan

787
00:43:37.309 --> 00:43:39.969 A:middle L:90%
type of schedule and some type of based on some

788
00:43:39.969 --> 00:43:46.489 A:middle L:90%
type of guidelines and policy. So so legally we

789
00:43:46.489 --> 00:43:52.420 A:middle L:90%
have a term called s electronically stored information. Um

790
00:43:52.900 --> 00:43:57.269 A:middle L:90%
And when you get lawyers involved in no offense to

791
00:43:57.269 --> 00:43:59.050 A:middle L:90%
the lawyers that might be in the room. God

792
00:43:59.050 --> 00:44:02.460 A:middle L:90%
bless you. Um But a lawyer will tell you

793
00:44:02.460 --> 00:44:06.219 A:middle L:90%
that you how long how long should you keep data

794
00:44:07.889 --> 00:44:10.510 A:middle L:90%
? No You should keep data no more than one

795
00:44:10.519 --> 00:44:15.590 A:middle L:90%
minute longer. Then you're then you have to keep

796
00:44:15.590 --> 00:44:20.920 A:middle L:90%
it. Yeah. So uh how many of you

797
00:44:20.929 --> 00:44:22.690 A:middle L:90%
know Enron may have been before some of your time

798
00:44:22.699 --> 00:44:27.840 A:middle L:90%
. But so there was an Enron debacle right where

799
00:44:27.840 --> 00:44:30.880 A:middle L:90%
Enron was a what accounting firm And you know they

800
00:44:30.889 --> 00:44:37.989 A:middle L:90%
they got in really significant legal trouble um ostensibly because

801
00:44:37.989 --> 00:44:43.079 A:middle L:90%
they deleted some files. Well the problem wasn't that

802
00:44:43.079 --> 00:44:46.130 A:middle L:90%
they deleted the files. The problem was that they

803
00:44:46.139 --> 00:44:52.670 A:middle L:90%
deleted the files right after they were served with litigation

804
00:44:52.670 --> 00:44:55.300 A:middle L:90%
notices. When you went back and looked at it

805
00:44:55.989 --> 00:45:01.340 A:middle L:90%
, Enron had in place a company wide policy for

806
00:45:01.340 --> 00:45:06.030 A:middle L:90%
how long they keep certain kinds of data. And

807
00:45:06.030 --> 00:45:08.210 A:middle L:90%
the company policy said after this particular length of time

808
00:45:08.989 --> 00:45:15.769 A:middle L:90%
this data should be deleted had in Iran followed their

809
00:45:15.780 --> 00:45:20.440 A:middle L:90%
own data retention policies. They wouldn't have gotten into

810
00:45:20.440 --> 00:45:23.710 A:middle L:90%
trouble because they could have gone back and said you

811
00:45:23.710 --> 00:45:27.949 A:middle L:90%
know look our company policy says that we only keep

812
00:45:27.949 --> 00:45:30.869 A:middle L:90%
that particular kind of data for two years And two

813
00:45:30.869 --> 00:45:35.699 A:middle L:90%
years and one day we live. And from a

814
00:45:35.699 --> 00:45:39.139 A:middle L:90%
legal perspective that's okay. Mhm. What happens is

815
00:45:39.139 --> 00:45:42.190 A:middle L:90%
when you have a data retention policy that says that

816
00:45:42.190 --> 00:45:44.400 A:middle L:90%
we keep it for two years and you keep it

817
00:45:44.409 --> 00:45:49.030 A:middle L:90%
for three and then you get served with papers that

818
00:45:49.030 --> 00:45:52.139 A:middle L:90%
want to access three year old data and you go

819
00:45:52.139 --> 00:45:54.570 A:middle L:90%
back you go I don't think we want them looking

820
00:45:55.190 --> 00:45:57.960 A:middle L:90%
, we better go ahead and delete it. That's

821
00:45:57.960 --> 00:46:00.360 A:middle L:90%
not that's not good. So that's what really got

822
00:46:00.369 --> 00:46:05.230 A:middle L:90%
, that's what really got involved in control and and

823
00:46:05.239 --> 00:46:08.909 A:middle L:90%
you know, one of the, I guess unfortunate

824
00:46:09.679 --> 00:46:15.380 A:middle L:90%
events that that I was I guess somewhat apart,

825
00:46:15.380 --> 00:46:16.940 A:middle L:90%
I was, you know, at Penn State course

826
00:46:16.940 --> 00:46:20.440 A:middle L:90%
, you're all familiar with The issues that we had

827
00:46:20.440 --> 00:46:25.699 A:middle L:90%
in November of 2011. And uh I happen to

828
00:46:25.710 --> 00:46:30.230 A:middle L:90%
be unfortunate enough to have one of my faculties be

829
00:46:30.230 --> 00:46:35.690 A:middle L:90%
the chair of the faculty senate when the whole um

830
00:46:35.699 --> 00:46:37.789 A:middle L:90%
you know, when that whole episode was going on

831
00:46:37.380 --> 00:46:39.869 A:middle L:90%
. So um one of the things we had to

832
00:46:39.880 --> 00:46:45.849 A:middle L:90%
do is we had to uh immediately put uh put

833
00:46:45.860 --> 00:46:49.550 A:middle L:90%
a to holes on all of the faculty members data

834
00:46:49.559 --> 00:46:55.869 A:middle L:90%
. So every everything that he currently had plus everything

835
00:46:55.880 --> 00:47:00.280 A:middle L:90%
that he began to acquire. So it wasn't just

836
00:47:00.289 --> 00:47:04.539 A:middle L:90%
it wasn't just when just as old emails, but

837
00:47:04.539 --> 00:47:06.650 A:middle L:90%
it was all these new emails and all that sort

838
00:47:06.650 --> 00:47:09.780 A:middle L:90%
of stuff. So so there really are times when

839
00:47:09.789 --> 00:47:15.130 A:middle L:90%
uh when data removal is important, it's very important

840
00:47:15.130 --> 00:47:17.380 A:middle L:90%
to have data retention policies. It's important to understand

841
00:47:17.380 --> 00:47:22.460 A:middle L:90%
the data retention policies. And mostly it's important to

842
00:47:22.460 --> 00:47:25.079 A:middle L:90%
adhere to the data retention policies because it's when you

843
00:47:25.079 --> 00:47:28.800 A:middle L:90%
step outside of those things that you run into,

844
00:47:28.809 --> 00:47:31.300 A:middle L:90%
run into difficulty, run into legal trouble. Mm

845
00:47:31.780 --> 00:47:36.739 A:middle L:90%
. So it's been rattling on off on what's all

846
00:47:36.739 --> 00:47:43.300 A:middle L:90%
this mean? I would say without too much doubt

847
00:47:44.280 --> 00:47:53.309 A:middle L:90%
that most of us have a very um inadequate understanding

848
00:47:53.320 --> 00:48:00.170 A:middle L:90%
of the data for which we are Stewart's and what

849
00:48:00.170 --> 00:48:01.579 A:middle L:90%
all of these things that I've been talking about,

850
00:48:02.070 --> 00:48:05.900 A:middle L:90%
you know, up to this point, it's really

851
00:48:06.670 --> 00:48:09.780 A:middle L:90%
just understanding your data, understanding what you have,

852
00:48:10.469 --> 00:48:15.570 A:middle L:90%
understanding what kind of rules have also understanding how it

853
00:48:15.570 --> 00:48:16.820 A:middle L:90%
needs to be access, how it's going to grow

854
00:48:16.820 --> 00:48:19.280 A:middle L:90%
, how it's going to change, how it needs

855
00:48:19.280 --> 00:48:22.659 A:middle L:90%
to be sustained, how your recovery. Because if

856
00:48:22.659 --> 00:48:25.289 A:middle L:90%
we have a better understanding of our data, then

857
00:48:25.289 --> 00:48:28.800 A:middle L:90%
it makes all these other things that we've been talking

858
00:48:28.800 --> 00:48:30.199 A:middle L:90%
about up to this point much, much, much

859
00:48:30.199 --> 00:48:34.730 A:middle L:90%
, much easier. So when you went through this

860
00:48:34.730 --> 00:48:37.309 A:middle L:90%
exercise this morning where you're kind of looking at,

861
00:48:37.309 --> 00:48:38.510 A:middle L:90%
you're looking at the streets and all the different names

862
00:48:38.510 --> 00:48:40.789 A:middle L:90%
on that kind of stuff, you really kind of

863
00:48:40.789 --> 00:48:43.719 A:middle L:90%
got in there and understood that data pretty well,

864
00:48:43.719 --> 00:48:45.099 A:middle L:90%
right? You kind of got a sense of what

865
00:48:45.099 --> 00:48:46.699 A:middle L:90%
it is and how different it can be and how

866
00:48:46.699 --> 00:48:51.059 A:middle L:90%
you might categorize and stuff like that. So that's

867
00:48:51.059 --> 00:48:52.730 A:middle L:90%
really an exercise. And in understanding data and,

868
00:48:52.739 --> 00:48:55.349 A:middle L:90%
you know, perfect example for us is things like

869
00:48:55.349 --> 00:48:59.760 A:middle L:90%
Social Security numbers. We quit using those things identifiers

870
00:48:59.760 --> 00:49:01.739 A:middle L:90%
years ago. But they still come up and somebody's

871
00:49:01.739 --> 00:49:04.809 A:middle L:90%
machine gets compromised. And you ask whether you have

872
00:49:04.809 --> 00:49:07.690 A:middle L:90%
any Social Security numbers on there and Well, yeah

873
00:49:07.690 --> 00:49:09.190 A:middle L:90%
, you did. You have 1995 student data in

874
00:49:09.190 --> 00:49:12.179 A:middle L:90%
there and have students social security numbers. Now.

875
00:49:12.179 --> 00:49:14.420 A:middle L:90%
We got to notify, you know, the class

876
00:49:14.420 --> 00:49:17.130 A:middle L:90%
of 1995 that all their social security numbers. So

877
00:49:17.139 --> 00:49:20.400 A:middle L:90%
, so it's really important. I think that as

878
00:49:20.400 --> 00:49:22.460 A:middle L:90%
you work with work with folks is try to help

879
00:49:22.469 --> 00:49:25.199 A:middle L:90%
you try to help people understand their data. Mhm

880
00:49:27.269 --> 00:49:30.599 A:middle L:90%
. So the other thing that kind of that you

881
00:49:30.599 --> 00:49:31.909 A:middle L:90%
really need to keep in mind is it's not just

882
00:49:31.909 --> 00:49:38.079 A:middle L:90%
your data. Um Mhm. I think sometimes we

883
00:49:38.079 --> 00:49:40.969 A:middle L:90%
get a little bit we're sort of getting a little

884
00:49:40.969 --> 00:49:44.019 A:middle L:90%
bit loose with it when we think well it's my

885
00:49:44.019 --> 00:49:45.900 A:middle L:90%
stuff and yeah, I've got to back it up

886
00:49:46.269 --> 00:49:49.610 A:middle L:90%
so I'll try to get to that next week,

887
00:49:49.769 --> 00:49:52.400 A:middle L:90%
or R. O. I accidentally deleted it and

888
00:49:52.400 --> 00:49:54.400 A:middle L:90%
don't have backup copy. I'll just go in and

889
00:49:54.400 --> 00:49:57.900 A:middle L:90%
recreate it again. Uh, No big deal,

890
00:49:58.469 --> 00:50:00.860 A:middle L:90%
but it's not just short, you know, it

891
00:50:00.860 --> 00:50:05.000 A:middle L:90%
belongs to university, it belongs to the granting agency

892
00:50:05.010 --> 00:50:08.119 A:middle L:90%
, uh, gave money to generate that. It

893
00:50:08.119 --> 00:50:10.530 A:middle L:90%
may belong to the commonwealth Virginia because belong to the

894
00:50:10.539 --> 00:50:15.079 A:middle L:90%
federal government. So we have to, you have

895
00:50:15.079 --> 00:50:22.280 A:middle L:90%
to really understand that we're stewards of data that where

896
00:50:22.280 --> 00:50:24.449 A:middle L:90%
the ownership is really kind of shared for the most

897
00:50:24.449 --> 00:50:28.039 A:middle L:90%
part, you know, it's shared by our colleagues

898
00:50:28.039 --> 00:50:30.389 A:middle L:90%
and shared by our disciplines, uh, the people

899
00:50:30.389 --> 00:50:31.110 A:middle L:90%
that gave us some money to generate it. So

900
00:50:31.119 --> 00:50:34.059 A:middle L:90%
, you know, that hopefully, you know,

901
00:50:34.059 --> 00:50:36.300 A:middle L:90%
I know a lot of times when I it's one

902
00:50:36.300 --> 00:50:38.239 A:middle L:90%
thing to explain to somebody that's hurting themselves and they

903
00:50:38.239 --> 00:50:40.960 A:middle L:90%
can count and deal with that, but when you

904
00:50:40.960 --> 00:50:44.989 A:middle L:90%
explain to somebody that whatever they're doing might hurt somebody

905
00:50:44.989 --> 00:50:46.190 A:middle L:90%
else, sort of look at that little bit differently

906
00:50:46.659 --> 00:50:49.489 A:middle L:90%
. So you know, it's just an approach I

907
00:50:49.489 --> 00:50:51.380 A:middle L:90%
think we do with you know, with our data

908
00:50:52.059 --> 00:50:55.719 A:middle L:90%
. That's right, and speaking on behalf of the

909
00:50:55.840 --> 00:51:02.150 A:middle L:90%
community in general will help. Um I had a

910
00:51:02.159 --> 00:51:07.030 A:middle L:90%
really good friend of mine um at Penn State was

911
00:51:07.030 --> 00:51:10.570 A:middle L:90%
the director of something called Digital Library Technologies, so

912
00:51:10.579 --> 00:51:15.400 A:middle L:90%
um she was kind of like john Borthwick soy counterpart

913
00:51:15.409 --> 00:51:19.440 A:middle L:90%
U Penn State, but you know my rates,

914
00:51:19.519 --> 00:51:22.780 A:middle L:90%
you're very kind of you know, over you know

915
00:51:22.159 --> 00:51:24.309 A:middle L:90%
, drinks one day after some meeting or something and

916
00:51:24.460 --> 00:51:27.070 A:middle L:90%
it's like you know, you gotta understand, she

917
00:51:27.070 --> 00:51:30.190 A:middle L:90%
said this is what librarians do because we managed data

918
00:51:30.559 --> 00:51:32.480 A:middle L:90%
. I mean this is our is our job,

919
00:51:32.860 --> 00:51:36.250 A:middle L:90%
you know, just because it's digital doesn't mean that

920
00:51:36.250 --> 00:51:38.809 A:middle L:90%
it's any more important that we necessarily treated any differently

921
00:51:38.809 --> 00:51:42.010 A:middle L:90%
than we would paper stuff. There's different parameters trying

922
00:51:42.179 --> 00:51:44.989 A:middle L:90%
but this is kind of what the library professionals do

923
00:51:45.739 --> 00:51:49.190 A:middle L:90%
and so um yeah I think from a you know

924
00:51:49.190 --> 00:51:52.329 A:middle L:90%
from an I. T. Side um this is

925
00:51:52.329 --> 00:51:55.809 A:middle L:90%
where we could use help in you know assigning med

926
00:51:55.809 --> 00:52:00.250 A:middle L:90%
attacks the data. Uh I think Dublin core initiatives

927
00:52:00.260 --> 00:52:04.050 A:middle L:90%
kind of something that um you know where we can

928
00:52:04.050 --> 00:52:07.280 A:middle L:90%
have help understanding how that impacts the way that we

929
00:52:07.289 --> 00:52:09.860 A:middle L:90%
help our folks um use the data that they generate

930
00:52:09.869 --> 00:52:14.179 A:middle L:90%
. Um You know I think it's really um kind

931
00:52:14.179 --> 00:52:15.690 A:middle L:90%
of thinking about it more as a as a holistic

932
00:52:15.690 --> 00:52:21.309 A:middle L:90%
approach rather than just an I. T centric old

933
00:52:21.309 --> 00:52:23.010 A:middle L:90%
somebody's got a terabyte of data, let's put it

934
00:52:23.010 --> 00:52:24.619 A:middle L:90%
on dr somewhere else to make sure that we got

935
00:52:24.619 --> 00:52:27.929 A:middle L:90%
a firewalled off and they got fast access to it

936
00:52:27.929 --> 00:52:30.699 A:middle L:90%
. Then we're done because it's a lot more complicated

937
00:52:30.699 --> 00:52:34.260 A:middle L:90%
than that and in a lot of cases it's more

938
00:52:34.260 --> 00:52:36.880 A:middle L:90%
complicated to the extent that we use I. T

939
00:52:36.880 --> 00:52:38.710 A:middle L:90%
. Professionals might just be a little bit more prepared

940
00:52:38.719 --> 00:52:44.840 A:middle L:90%
to deal with. So that's it for me that's

941
00:52:44.840 --> 00:52:46.690 A:middle L:90%
kind of mild world as it comes to data.

942
00:52:46.699 --> 00:52:55.239 A:middle L:90%
Um It's an absolutely fascinating um job I've got the

943
00:52:55.239 --> 00:53:00.190 A:middle L:90%
best job on campus um uh Okay and then the

944
00:53:00.190 --> 00:53:05.210 A:middle L:90%
best college on campus to but but but it's you

945
00:53:05.210 --> 00:53:07.119 A:middle L:90%
know it really is it's a lot of fun but

946
00:53:07.119 --> 00:53:08.090 A:middle L:90%
it's also one of those things that more and more

947
00:53:08.090 --> 00:53:12.170 A:middle L:90%
I know about my job and I've been doing it

948
00:53:12.179 --> 00:53:15.280 A:middle L:90%
for a long time. Um The more I realize

949
00:53:15.280 --> 00:53:17.570 A:middle L:90%
that I'm never gonna be the expert in every facet

950
00:53:17.949 --> 00:53:21.739 A:middle L:90%
that the job really requires. And I think as

951
00:53:21.739 --> 00:53:25.480 A:middle L:90%
we look at data and data categorizations and all the

952
00:53:25.489 --> 00:53:29.010 A:middle L:90%
things are associated with it. Um you know this

953
00:53:29.010 --> 00:53:30.780 A:middle L:90%
is a place where you know where we need to

954
00:53:30.780 --> 00:53:32.679 A:middle L:90%
really reach out and try to form better partnerships with

955
00:53:34.050 --> 00:53:35.699 A:middle L:90%
you know the folks in this room and kind of

956
00:53:35.699 --> 00:53:38.099 A:middle L:90%
helping us manage it and deal with it and you

957
00:53:38.099 --> 00:53:40.789 A:middle L:90%
know and make it available for generations and generations to

958
00:53:40.789 --> 00:53:46.769 A:middle L:90%
come. So questions. Yeah. So as you're

959
00:53:46.769 --> 00:53:51.449 A:middle L:90%
working in cross college and interdisciplinary really, are there

960
00:53:51.460 --> 00:53:53.829 A:middle L:90%
extra challenges and then you can help and how to

961
00:53:53.840 --> 00:54:00.050 A:middle L:90%
bridge that gap? Are there extra challenges? Uh

962
00:54:01.239 --> 00:54:07.219 A:middle L:90%
. Oh yeah. Yes and no I mean you

963
00:54:07.219 --> 00:54:09.190 A:middle L:90%
know the thing about think about us I. T

964
00:54:09.199 --> 00:54:10.940 A:middle L:90%
. People is you get 10 80 people in the

965
00:54:10.940 --> 00:54:13.969 A:middle L:90%
room and they'll have 11 different ways of doing something

966
00:54:14.340 --> 00:54:19.480 A:middle L:90%
, right? So um so there is a struggle

967
00:54:19.489 --> 00:54:23.260 A:middle L:90%
of consistency in terms of the way that um that

968
00:54:23.269 --> 00:54:27.789 A:middle L:90%
people manage their data and the way that people permit

969
00:54:27.800 --> 00:54:29.809 A:middle L:90%
access and things like that, you know to their

970
00:54:29.809 --> 00:54:31.030 A:middle L:90%
data. In fact we were talking about the U

971
00:54:31.030 --> 00:54:34.949 A:middle L:90%
. I. That's the whole reason cuz I was

972
00:54:34.949 --> 00:54:39.880 A:middle L:90%
actually conceived in the first place was because um uh

973
00:54:39.880 --> 00:54:43.670 A:middle L:90%
oh and be kind of looked at all the all

974
00:54:43.670 --> 00:54:47.429 A:middle L:90%
the different federal agencies and they're like you guys have

975
00:54:47.440 --> 00:54:51.500 A:middle L:90%
like no consistency and how you manage some of this

976
00:54:51.500 --> 00:54:52.179 A:middle L:90%
data. D. O. D. Does it

977
00:54:52.179 --> 00:54:54.920 A:middle L:90%
one way and USDA does it a different way and

978
00:54:54.920 --> 00:54:58.309 A:middle L:90%
D. O. Doesn't another way. So that's

979
00:54:58.309 --> 00:55:00.309 A:middle L:90%
why they put all that stuff together. So you

980
00:55:00.309 --> 00:55:06.719 A:middle L:90%
know I do think um the challenges if you know

981
00:55:06.719 --> 00:55:10.139 A:middle L:90%
if I'm managing access to data one way and engineering

982
00:55:10.139 --> 00:55:13.619 A:middle L:90%
is doing it a completely different way. You know

983
00:55:13.630 --> 00:55:15.170 A:middle L:90%
, can Condell and I get together and kind of

984
00:55:15.170 --> 00:55:17.619 A:middle L:90%
figure out you know how that's going to happen or

985
00:55:17.630 --> 00:55:21.929 A:middle L:90%
even better yet can we all as as I.

986
00:55:21.929 --> 00:55:22.820 A:middle L:90%
T. Directors get together and kind of figure out

987
00:55:22.820 --> 00:55:24.619 A:middle L:90%
can we have some consistency in the way that this

988
00:55:24.619 --> 00:55:27.869 A:middle L:90%
stuff is managing weight is happy. That was one

989
00:55:27.869 --> 00:55:29.309 A:middle L:90%
part of it was another part of your question,

990
00:55:29.320 --> 00:55:30.480 A:middle L:90%
did that cover all that? Are there challenges and

991
00:55:30.480 --> 00:55:34.989 A:middle L:90%
then how do you bridge that gap? Can Yeah

992
00:55:35.000 --> 00:55:37.719 A:middle L:90%
, you know, and I think uh you know

993
00:55:37.719 --> 00:55:45.619 A:middle L:90%
I think the you all probably interact with maybe people

994
00:55:45.619 --> 00:55:47.760 A:middle L:90%
in a way that I don't for example. Right

995
00:55:49.239 --> 00:55:52.889 A:middle L:90%
. Um so it's I think it's one of those

996
00:55:52.900 --> 00:55:57.460 A:middle L:90%
situations where we just we communicate a lot more um

997
00:55:57.469 --> 00:55:59.260 A:middle L:90%
you know there may be things that you find you

998
00:55:59.260 --> 00:56:00.710 A:middle L:90%
bring it to me and say hey were you aware

999
00:56:00.710 --> 00:56:01.670 A:middle L:90%
of this? And uh I may do the same

1000
00:56:01.670 --> 00:56:06.159 A:middle L:90%
thing and so I think it's um you know I

1001
00:56:06.159 --> 00:56:07.300 A:middle L:90%
think it's having a little bit better understanding of what

1002
00:56:07.300 --> 00:56:10.369 A:middle L:90%
we what we do individually and in how we can

1003
00:56:10.369 --> 00:56:14.550 A:middle L:90%
kind of leverage that to do things better together jointly

1004
00:56:15.130 --> 00:56:19.079 A:middle L:90%
. Um I'm I'm now just tell you I'm inherently

1005
00:56:19.090 --> 00:56:23.380 A:middle L:90%
lazy by nature and so so I like partnering uh

1006
00:56:23.389 --> 00:56:25.960 A:middle L:90%
it's a little bit more work on the front end

1007
00:56:27.429 --> 00:56:29.090 A:middle L:90%
but it really saves me a lot of work on

1008
00:56:29.090 --> 00:56:30.659 A:middle L:90%
the back and that's what I'm all about. So

1009
00:56:30.670 --> 00:56:34.500 A:middle L:90%
any time we can leverage things with something that somebody

1010
00:56:34.500 --> 00:56:37.150 A:middle L:90%
else is doing that's you know that's kind of how

1011
00:56:37.159 --> 00:56:38.889 A:middle L:90%
that's kind of how I like to do it.

1012
00:56:38.900 --> 00:56:42.489 A:middle L:90%
I'm not a typical I. T. Person I

1013
00:56:42.489 --> 00:56:45.480 A:middle L:90%
don't like um uh I mean I don't like naming

1014
00:56:45.480 --> 00:56:47.730 A:middle L:90%
my servers and going in every morning and petting them

1015
00:56:47.730 --> 00:56:50.800 A:middle L:90%
and making sure that they're all one and all that

1016
00:56:50.800 --> 00:56:52.429 A:middle L:90%
kind of stuff. Um You know I'm more like

1017
00:56:52.429 --> 00:56:54.269 A:middle L:90%
to kind of figure out how do we leverage all

1018
00:56:54.269 --> 00:56:57.170 A:middle L:90%
the resources we got? I don't like doing everything

1019
00:56:57.179 --> 00:57:01.530 A:middle L:90%
by myself. Yeah. Um with regard to crash

1020
00:57:01.530 --> 00:57:05.670 A:middle L:90%
plan, that sounds like something that I'd like to

1021
00:57:05.679 --> 00:57:07.730 A:middle L:90%
pass along. A couple of other people. Sure

1022
00:57:07.739 --> 00:57:12.000 A:middle L:90%
could you just either you may not have enough cards

1023
00:57:12.000 --> 00:57:13.610 A:middle L:90%
to hand out. I don't even know what car

1024
00:57:13.619 --> 00:57:16.269 A:middle L:90%
is anymore but yeah. Yeah you just put on

1025
00:57:16.269 --> 00:57:22.610 A:middle L:90%
the screen special slide your contact. Yeah I'll write

1026
00:57:22.610 --> 00:57:24.150 A:middle L:90%
it up here on the board. Something. Yeah

1027
00:57:24.889 --> 00:57:30.329 A:middle L:90%
also be off a bit lee but yeah. Yeah

1028
00:57:30.340 --> 00:57:30.880 A:middle L:90%
but I'll tell you I will give this a little

1029
00:57:30.880 --> 00:57:34.619 A:middle L:90%
bit no bit of tip on its because everybody's gonna

1030
00:57:34.619 --> 00:57:37.630 A:middle L:90%
want to know how much it calls. Um We

1031
00:57:37.630 --> 00:57:42.440 A:middle L:90%
pay uh we pay$22 per person per year for

1032
00:57:42.440 --> 00:57:44.920 A:middle L:90%
the license. That's if you put it on your

1033
00:57:44.920 --> 00:57:49.380 A:middle L:90%
own storage and it's an additional$39 and something if

1034
00:57:49.380 --> 00:57:52.949 A:middle L:90%
you put it in the cloud. So I guess

1035
00:57:52.949 --> 00:57:54.300 A:middle L:90%
the way I explained it to everybody is for less

1036
00:57:54.300 --> 00:57:57.349 A:middle L:90%
than$70 a year, you can have all your

1037
00:57:57.360 --> 00:57:59.900 A:middle L:90%
data backed up reliably and be able to get it

1038
00:57:59.909 --> 00:58:04.449 A:middle L:90%
back if you accidentally. Most people just quite kitchen

1039
00:58:05.829 --> 00:58:22.739 A:middle L:90%
other questions. Thanks everybody. Yeah. Okay.

1040
00:58:22.429 --> 00:58:27.349 A:middle L:90%
Mm mm.