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Okay, so I'm gonna go through this really quickly,
because you guys have been here all day, and I applaud you.
You earned that pizza and salad and yummy things from the cellar.
Thumbs up.
You guys are data management expert guru people.
You're awesome.
Okay, so we wanted to give you just a little bit of overview
of data services that we have identified here at Virginia Tech.
Because I assume that you're all affiliated with the university,
in some way.
Is that correct?
Anybody from that university, up the road?
>> [LAUGH] >> Okay, good.
That shall not be named.
Okay, so we've got the university libraries.
We've got the Office of Research.
We've got ARC, and HPC, VTIP, and LISA.
Does anyone know what ARC and HPC are?
>> HPC high performance computing.
>> Yes, high performance computing.
ARC is advanced research computing.
They change the name all the time, but they're the guys that have the really,
really, really powerful processing stuff.
>> Supercomputers.
>> Supercomputers, there's the word I'm looking for.
They also do things like visualizations.
Gosh, they dabble in a whole bunch of different things, but
they're really great to work with.
VTIP, anybody know what VTIP is?
Shh, you.
[LAUGH] Virginia Tech Intellectual Property.
So what does VTIP do, do you know?
>> You invent someting, [INAUDIBLE] what part of it you want to [INAUDIBLE]
>> Exactly, exactly.
So [COUGH] If you were up in your
dorm room slash apartment, slash office one night, inventing the Facebook killer,
the software system that will kill Facebook please somebody do it.
>> [LAUGH] >> And you know,
if it's smashing success suddenly you know, you've got ad people everywhere.
Google wants you.
It's wonderful.
You know, Virginia Tech is gonna go, did you use University, you know,
resources to kill Facebook?
And that's a perfectly reasonable thing for them to ask.
If you used a computer lab to do it if you you
know, use classroom space, if you use even one iota of Virginia Tech's electricity,
they could conceivably, stick their flag in the.
I was gonna use the dog metaphor, but
I'm gonna go with sticking the flag at the North Pole.
>> Hit Apple just recently.
>> Yes, exactly.
>> Most of it's part is, if you don't have fixed hours,
you're not an hourly employee, then,
in some sense all of your time belongs to Virginia Tech in some sense.
>> And if you have a grant, this isn't actually VTIP's area but
if you have a grant, who owns the research?
Virginia Tech does, technically as much as anybody can own research.
But if you're getting federal funds,
the federal funds are given to the University and the University considers
the principal investigator to be the steward of the research.
Okay, and then LISA, anybody know what LISA is?
>> Statistics people, helpers.
>> Yes, the statistics people helpers, that's what I call them too.
Laboratory for something with eyes, statistics, something with A, right.
>> [INAUDIBLE] >> I'm going to get to that in a second.
I'm going to run you through all of these really fast.
Okay, so this is the library.
This is my slide that I just created.
This is everything that the Data Services Unit, kinda does.
And you've met many of us today.
Probably all but two, was Ed Brookes here?
>> [CROSSTALK] >> Okay, so everybody but Keith was here.
Hugo's part of the Data Services Unit.
I am and then two of those jokers back there are also in the Data Services Unit.
And we're really here to help with research data question.
We're not 100% experts.
We don't work for Google.
We're not like manually plugged into the computer with our fingertips,
like in Blade Runner, I don't know.
Anyway, but we're very well connected within the university.
We know people at ARC, we know, people, LISA,
we know people at T-labs we know people all over the place.
And we're also very well connected within the larger kind of research
library community.
North America, the world, the universe at large.
So, if we can't answer your question then we can probably help you get a little
bit further, if it's data related.
Generally we focus on these four areas data management and literacy.
So this is data management plan consulting.
If you're ever doing a DMP or a data sharing plan for
federal funders, NSF, NIH, DLE, all of the big acronyms,
even some of the smaller acronyms, we can help with that.
We do current and data literacy.
We put on events like this to sort of expose graduate students,
faculty, whomever anybody who wants to learn.
Staff, everybody.
To some of these issues so that you guys are aware of them.
And again, so that you know that some of these issues exist and
that you probably should ask somebody about them.
Hopefully us, maybe not who knows?
Current research information systems.
We're working on VIVO which is a semantic web based researcher networking system.
Which is basically Facebook for
researchers but Facebook where everyone actually is who they say they are.
>> [LAUGH] >> Like it actually VIVO is built
to be supported by universities and fed by trusted university data systems.
So, and actually VIVO will be fed by data from the office of research on grants.
Not all grants, just some grants, some grants are secret secret.
HR data, teaching loads, research, publications.
And the faculty, mostly for faculty, maybe some for graduate students.
We're still kind of working on that.
But the data will be out there, there'll be these profiles, and
it will enable other semantic web systems to be able to find people on our campus.
So if you specialize in zebras and I'm at Harvard, and
I'm looking for somebody with expertise in whatever it is that you do is-
>> Zebras.
>> Exactly.
[LAUGH] Maybe I do horses and you do zebras, I do giraffes, I don't know.
Hopefully eventually there'll be this network that will allow me to find you
very easily, see all your publications go, that guy, he knows what I need to know.
That kind of thing.
So we're working on that as well.
Data curation.
This is what Shane does and
questions kind of helping out with that helps out with as well.
We support this sort of model, depositing,
archiving, publishing and curating and they all kind of build upon one another.
And these are all kind of around this new data repository
that I don't think Shane showed you.
Did you show them the repository?
>> [INAUDIBLE] hands on, but I haven't- >> That's okay.
It's okay.
I think would probably be upset if we showed it.
It's still kind of in beta testing, but we're hoping to launch it pretty soon.
So that you know, you've got a place where you can do all of these things.
You can deposit data, you can be sure that it's going to be preserved for
semi long term, you know, three to five years is what we really promised.
We're hoping it'll be more like 20 to 50 to, you know, forever.
But we can't make that promise cuz who knows what's gonna happen?
The asteroid could hit the Earth and kill all the giraffes and
then where would we be?
Publishing DOIs Shane talked about.
And then curation, which I don't think Shane talked about.
We see curation as just like a museum, right?
You go to a museum and you learn all, then you see like a Greek vase,
a Grecian vase, whatever.
And, you know, hopefully within that museum,
you read about all the context that surrounds the Greek vase, right?
So you're able to contextualize the the objects that you're seeing.
We try to do the same thing with datasets.
So a well curated dataset, if I have a well curated dataset,
then Suko can be in about, where might you be?
We'll say that you're in Norway.
That Suko's in Norway, she and I don't know each other, but
she can find my dataset and use it in her research,
build upon it, understand it without talking to me.
That is really the gold standard of curation.
That we provide enough information about the data
that somebody else can use it without having to talk to the original creator.
And that's what Shane is working towards.
Yes. >> [INAUDIBLE]
>> Okay,
>> There's one thing to note about all
the repositories out there versus using institutional repositories.
[INAUDIBLE] repositories don't offer that curation.
>> Exactly.
>> Offer the support.
So you've gotta deposit with those repositories.
It's all on you.
And sometimes you may not know what
certain metadata standards are in that repository.
Like coming through us and
using an institutional repository to compete if you have any questions.
Help review, [INAUDIBLE] help create that [INAUDIBLE].
There's just that added layer of support there one
dimension that doesn't exist- >> Perfect, yes, exactly.
You don't have to use us.
You can also just deposit or you can just cut or you can just publish.
Maybe you don't care about curation.
That's totally fine.
Maybe you don't like Shane's shoes and you don't want to talk with him.
That's a legitimate concern.
His shoes are pretty awesome though I have to say.
Yes.
>> Is this stuff that you're talking about now this exists, this is not in a beta.
>> We're working towards it.
We are really close.
The only thing we don't have is a place to put things that is, well,
we can always put it in the institutional repository.
So yeah, yeah, this is pretty live.
>> How does this different from the institutional repository that we were
talking about earlier that we get a DOI?
>> Yes, the institutional repository is more for that final research output.
So the article, they book chapter, the publication,
the textual representation of the research, the final summary.
>> [INAUDIBLE] >> Exactly.
You can use an institutional repository as a data repository,
many universities do that.
They just have one repository for everything.
But we are working to build two different repositories, one for
the institutional intellectual output in text form, and one as a data repository.
Because we see that there's a value add to concentrating on the data side of things,
this curation model.
>> But the data repository isn't quite done.
>> Not quite, it's really, really, really close.
Really close.
Okay, so that's what Shane does.
Kristin is part of what in my head I called the informatics lab.
They have sort of a steam punk Lego vibe on here.
And you can see that Kristin has that vibe as well, so it's true to life.
And we have this sort of team of, or we will soon, have this team of
informatics consultants who have expertise in certain disciplinary areas.
Kristin happens to be our expert in sort of the engineering side of things,
computer science, that kind of thing.
We will soon be advertising positions for an informaticist for
science, the College of science and art and design.
And what these folks will do is they'll be sort of fluent in, you know, computational
methods, computational technologies, but also in this sort of disciplinary area.
And they'll be available to faculty for any sort of consultation and
getting those computational thinking into the curriculum.
Or students for doing projects or
providing some expertise to help Shane out with the curation, side effects.
So if you're using an engineering,
particular engineering file format we're not quite sure what to do with it.
Then Kristin would be the one that we would talk to and
he would work with Shane to try to figure out how he would curate that.
So, any questions up to this point?
Awesome.
You guys just want to get out of here, that's okay.
I totally get it.
So this is the website for doing your tax research and innovation.
Which I guess is the office of researchers just researched out of UTIDU.
They've got a whole bunch of really cool stuff.
They do IRB, who's used IRB.
Okay, what's IRB?
>> Human subjects >> Human subjects research
Institutional Review Board.
If you research has anything to do with people,
doesn't have to be native people but it has to do with people.
It's made of people, okay.
Then you have to put an application in through IRB and
they have to sign off on it.
And terrible, terrible,
terrible things happen if your research involves people and you don't talk to IRB.
So that includes surveys, that includes all kinds of stuff.
They also, hey, Carrie, is IACUC part of the Office of Research, or
is that vet-med?
>> [INAUDIBLE] >> Okay, so they also do IACUC,
which is the same thing with animals.
So don't do experiments on giraffes until you talk to IACUC.
The Office of Research also has the Office of Secure Export.
No, it's export and secure research compliance, there we go.
It was written over there.
[COUGH] They are really cool too.
If you talk to them you will be paranoid
about everything afterwards everyone's out to get you.
But they really know what they're doing.
And if you're traveling to other countries and
you have a laptop with research on it, you probably need to talk to them first.
Okay, Office of Research, they're here to help.
And sometimes make your life more difficult but mostly here to help.
Advance Research Computing.
Here's their website, whoops.
Big time servers, clusters, they know this sort of thing.
This is not my area of expertise.
So it exists, go talk to them.
VTIP, there are some people commercializing their research.
They're probably making millions of dollars.
You always think, commercializing research it should really be, free, but
there are good points to commercializing, I guess.
Yeah, I know there are.
VTIP, interestingly is not located on
Virginia Tech's campus because they cannot be on state owned property,
because they're commercialized and things.
Isn't that interesting?
Okay, that's >> your office hours a tour.
Shh, does not exist.
Actually, I don't know.
I know that like the bulk of the, >> Microphone.
[LAUGH] >> This is not the droid you're
looking for.
Okay. I don't know about that.
I just heard that maybe I'm passing on disinformation.
Maybe they want me to pass on that misinformation, I don't know.
Yeah, you should go and ask them about that.
Be like, I heard you can't operate on state property, why are you here?
Maybe consulting is I don't know.
Okay.
Anyway, LISA, these are our LISA people, they've got a really interesting model.
You get like 10 hours of their consulting for free.
And then you have to start like forking over the research dollars or write them
into your paper, but they're really good to work with, they've got grad students.
Anybody here work for LISA?
No, okay.
Talk to them, they're really great.
They also have short courses, this link right here, short courses.
If you ever wanted to know anything about AR,
they've got like really good videos and short courses.
They offer them in person and online.
So if you ever had any statistical analysis questions,
they're the people to talk to.
And they are under the umbrella of the stats department.
And that may be on my last slide, last slide, you guys made it.
Okay, big round of applause.
>> [APPLAUSE] >> You did it.
>> Thank you.
>> So what are we doing for wrap up?
Go ahead. >> LISA basically in AR shop then?
Are they mostly- >> Mostly AR, they do some stuff
with an acronym that is JMP, JPM?
>> We also have an SPSS.
>> Yeah.
>> From them on to know that they're primarily.
>> Yeah, yeah, I was really I mean, since it's an open system.
It's, you know, open that anyone can sort of use it.
I think that's mainly why they're doing that.
So, what's the wrap up?
>> Anybody got any questions?
>> Any lingering questions?
Any lingering thoughts?
Wait is Marie still here?
No, Marie left.
Marie was at this event last year.
So I wanted to find out if we did a better job, or if we did worse.
>> [INAUDIBLE] >> Okay, good.
That's good to know.
We generally do this in January, because we think it's a good time.
There'll be another one of these that's Virginia based in March.
Where we're going to telepresence in people from all over Virginia to
talk about the same kind of thing, but you guys are the experts.
So you've eaten the pizza of expertise, so I think you're fine.
But yeah, how'd it go?
Anybody hate it?
You can tell me, I can take it.
>> That's it too.
That's it.
Okay, have fun, come talk to us.
>> Thank you very much.
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