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Yeah. Okay. So yes, I'm Shane Coleman

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and I'm the data curator here at the library.

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Uh my job is to help support researchers through identifying

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the tools that are necessary for storage, archiving uh, and

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publication. And there's a lot of uh, I

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don't have all the answers. My job is focused

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around, you know, supporting any efforts that you

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might have. Like if you have specific questions and

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don't have the time to devote uh your effort towards

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finding the proper storage for your research, you can

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come to me and we can talk about that.

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So, a lot of things I'm gonna talk about

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really already been touched on. Uh what I'm going

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to try and do in this presentation is identify tools

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that I've commonly seen use and um really map out

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, you know, where you can use these tools

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in the research lifecycle. Um try and pull it

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all together and talk a little bit about collaborative platforms

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to integrate with your storage, you're publishing and archiving

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systems. Uh At first point I really want to

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make is uh be organized. You know, efforts

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are put towards writing these data management plans for a

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reason. Um Sometimes that plan change changes but as

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long as you maintain an organized system for managing your

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project, those changes are easier uh to make as

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you go along. Uh So first thing we're gonna

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talk about is storage and collecting data and the questions

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you need to ask yourself before you start collecting data

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and first and foremost, how much data are you

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collecting? Um Your local computer or flash drive can

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be appropriate to store data on to note on that

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. Make sure you have some backup protocol, you

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know? Um If you have, if you're working

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with private data, you know? Yes, you

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need some sort of security system to maintain that data

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set on. Um And it may be that you

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have to use an external flash drive. External hard

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drive, but just to ensure that that data resides

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more than just in that one location that way on

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down the line, you can share that data and

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move it to a more appropriate system. Uh Again

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, is your data publicly accessible or confidential? Uh

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That's gonna be the driving force behind most of your

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decisions, you know? Uh I forget who has

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touched on the R. B um policy requirements when

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you have sensitive data and who has access to that

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data, um how many collaborate collaborators you have on

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a project and where those collaborators are located? Um

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A lot of times, especially as graduate students,

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you don't have access to uh Pittsburgh University's server system

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and that maybe the group you're collaborating with, so

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you have to make sure you have a VPN uh

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connection that allows you access to that server and and

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vice versa. If you're hosting a project here,

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you may have uh collaborators working remotely. So you

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just have to keep in mind all of these questions

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. Did you start deciding on what kind of storage

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media you want for your project? And again,

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uh make sure you have a method for backing up

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your data. A lot of cloud systems do have

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uh you know, backup protocols, but you know

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, again a lot of cloud systems uh are hackable

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, so you have to be careful what you choose

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. Um All right, and on to sharing data

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, uh again choosing a server system uh within your

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local department and sometimes I I found that several departments

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actually charged for using uh server space, so you

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have to be aware of the actual cost of using

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these different systems. Um I put arc, arc

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you on the slide because it's actually a great little

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software system that allows you to encrypt data. Um

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So if you're working with some sensitive information i using

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arc you can actually back up any local drive on

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your computer, external hard drive, a specific server

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space. I don't remember the cost of art but

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no, because of its ability to encrypt the data

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, you could then move all of your data to

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google drive and hosted locally. Um It's a very

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simple tool to use and I highly recommend taking a

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look at it if you're working uh secure data.

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Uh huh. Yeah. Yeah. So revisiting the

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research life cycle. Uh So yeah, the first

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sections deciding on a topic and your partners and writing

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your proposal and data management, claiming already kind of

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touched on two. I want to dive into the

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actual research process and how that can affect what storage

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you're using and how you're gonna end up sharing that

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data. And mm to really get into that,

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we need to look at the publishing process. So

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uh typical publishing process, you have a manuscript.

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Uh You decide to uh published that with some publishing

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company and they can either reject or accept uh huh

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your article. And at that point, because of

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the copy editor edited, uh you may want to

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talk background a little background Alison. So we asked

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what was his name? Uh Okay, so dr

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Delagarza uh what? Engineering? Civil engineering? Uh

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No, so we had a meeting with him uh

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to discuss what would be an appropriate model for uh

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publishing your data along with your article. And we

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found two points within the publishing lifecycle uh that you

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could publish a data set. The first being here

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in this initial submission process and the second um being

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on down the line once your data has actually been

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accepted and I don't know if this was really his

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model that we have been talking about. And what

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was the journal that he S E. C.

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Um american. Just to note, publishers are really

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looking at um this process and where they want to

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you know they want access to the data, they

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are reviewing the data that you're collecting throughout your research

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process. And so I just went ahead and outline

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um the things you have to take into consideration when

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you're publishing these points. So first off you must

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have a citation before your data. Uh At that

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initial point that way, you know, wherever your

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data is mentioned in your paper, you have that

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citation uh data is uh also easier to access.

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So once you meant your D. O. I

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. That link can be provided uh wherever your data

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is being excited. Having that citation means you've already

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picked archive and you've created that record in some repository

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. Uh uh So again you know citation must be

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properly through your manuscript. And at that point once

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you submit your article and you submit your data to

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your publisher is going to go through a review if

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for any reason there's a revision to your data as

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well as your article just gonna have to be a

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revision mate. And I mentioned that earlier. Once

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you meant to do you really want to be confident

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in the data you have provided revisions in the repository

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world Can be very tricky. So it's something to

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stay away from. Uh So personally I really right

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the idea of a researcher being on top of things

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and thinking about archival and the duration of their data

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early on. But sometimes it's not realistic. Which

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is why I think publishing at that second stage once

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your article has actually been reviewed really works better for

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a lot of researchers. Um The big thing about

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that is you know that one it allows you to

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review your publisher policy. So if your publisher requires

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you to use a specific repository or um expects you

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to publish your data with them, that's the time

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you can actually compile the data and turn it over

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to the publisher going back to the citation portion publishing

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after your manuscript has been accepted. It requires uh

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in addition to your references so you have to reference

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your original citation whatever you came up with your manuscript

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and you have to uh add on your D.

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O. I. In the reference section. So

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it's not quite as obvious for someone that's reading through

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your manuscript. But the D. O. I

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. Will exist at the end and that link will

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be there so they can get access to the Yes

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you would recommend not R. And D. Uh

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until get the copy editing of a of a uh

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accepted correct. I would still have your clean data

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set ready to just deposit a repository. But first

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things first you may have submitted to numerous numerous publishers

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right? If one publisher accepts you versus another,

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their policy may be different on how they want to

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actually manage that data. So if you wait to

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archive to that point then you can make that decision

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. Well he's not, you talked about that.

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There's your original dataset, raw data and then the

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data puts into some standardized format for a particular program

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. That's that that's clearly your original data. You

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want that you really want that stable when you submit

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. Although it's always possible that referees steve But the

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really movable part of this is is if one and

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this is what I'm really asking about. Are we

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supposed to also archive the batch files for statistical programs

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that process the data? Turn that data set into

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the results of the paper because because those are things

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that are very likely to change in the, during

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the referee process. That's a different question. Like

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we've been talking about software, this is batch files

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. It's like a text file that you, you

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know that you execute using state A or so the

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way I define data, your bash files would actually

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be data set. Um because you put time and

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effort to create well they have Yes. Credit does

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not lead to the tables and figures in the paper

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with journals, a specific part of the data set

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replication and that requires very minimum and including like a

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state of the file or something that does exactly that

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you really can't do it at the beginning. You

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have to wait no additional calculation. This this original

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option is really driven by your basic analytical data.

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I collected this data. It is what it is

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, you know, right right in the manuscript until

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you're actually so a deal I basically it's kind of

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a freeze put on an object once you have a

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D. O. I. For it can't change

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that physical object. Can't that digital object? Sorry

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not physical can't change. We can however, we

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are being the sort of data repository community. Can't

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support versioning. So if something changes, if you

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need to do additional statistical analysis on the data set

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, if you need to add files to it,

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that can certainly occur. But there needs to be

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a new D. O. I. Generated for

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that first thing. So the only thing that deal

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, why does it sort of locks in that one

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? Got it. So we can so we can

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have it. So we could come to like when

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we're done with our problem we think productive project and

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we've got to do files, we've got the data

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files and have it archives. Get a deal and

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then site that in the manuscripts that we submit.

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And then when we have to add stuff to it

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, more data or do files or whatever. Then

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we come back to you. We we make version

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two which subsumes and includes everything that wasn't exactly.

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And then we just modify the D. O.

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I. Exactly. Everybody's everybody's happy I think at

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that point. And the way our repository works is

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that there will be a link in between those two

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Digital objects to say, Okay, here's sort of

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version one. Here's the deal for it. Here's

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version two with these additions. Here's a do I

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for that but the reasonable manner has everything in the

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second. It was the first anyway so there's no

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real need for them to go back. Alright.

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Sure. Sure. Sure. But it does sort

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of president, you know the question, I was

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basically the same thing like so you can have your

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for your first thing and then you have to edit

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all your match files. You can have a second

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before those. Exactly. But the two dl lives

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will still exist because the D. A. Y

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. That's the guarantee the whole purpose of the deal

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is that it exists in the object is sort of

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frozen. It's a permanent link to it. Even

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if you don't ever need to go back to the

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first one, it's still important that their links.

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So Exactly, people don't mistake it is too.

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And you know, somebody may be interested in the

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differences, they may be interested in what you added

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, they may be interested in comparing the two.

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So I mean storage and what we're talking about terabytes

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storage is relatively cheap. So as long as we're

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not talking about like Two different objects that are each

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like 50 terabytes. I mean I think it's okay

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. Both. So okay, I'm gonna jump back

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out again. Come back to that. There are

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cases you can when depositing a repository, it can

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be somewhat complicated when you have a data set,

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your batch files that you used to process your raw

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data because sometimes the batch files are the data um

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you know. Yeah, Creston uh one of our

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resident uh librarians, he does research based around an

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algorithm he uses. So he modifies his algorithm for

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processing data. So he consumes many a huge variety

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of data. The idea of being he wants to

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use his algorithm in different scenarios to make sure it

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processes data and the way he wants it. So

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when he publishes he's publishing this updated algorithm. Right

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In your case it sounds like the data is a

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combination of the algorithm as well as the fire.

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Apparently what you're calling data subsumes the file, the

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computer file that have the raw data, the cleaned

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up file that's readable by a program like data and

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the do file that creates that that data file and

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um processing and that's what needs to be our.

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Yes. And if we have time I'll open up

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our institutional repository and actually show you a record because

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when you're requesting A. D. O. Y

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. Uh huh. That D. O. I

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. Is for your data set and not specific files

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. Okay, so a dataset consists of all the

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metadata related to that project as well as the files

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that are associated with that project. So I've worked

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with several um professors here who has 2030, 40

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Files. They're associated with one project. And technically

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because all those files are associated with that one project

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, they all receive the same to you. Why

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? There are instances in ways that you can reorganize

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the engine justify breaking apart that larger project in two

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phases for project which allows you to meant to do

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it for the data associated with those different faces.

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When you're okay, When I write a state of

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do fine, it reads a file and when it

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reads the file that has the path right. Clearly

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that path isn't going to be right. Yeah.

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And is that? It refers to a particular step

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, folders and sub folders on on a computer.

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But I gathered that that's the sort of thing that

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the end user who reads the archive is supposed to

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be able figure out customized stuff. Right? Yes

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. Yes. There are some people working on a

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way to encapsulate the entire system. Right. So

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when you got I guess the state do file,

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it would kind of run through where everything is which

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libraries state is calling, you know, all that

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sort of stuff where that lives and package it up

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, kind of like a virtual machine image. Um

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And I think the guy who's working on it is

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that Notre dave I don't have to look that up

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, but there are people working on that one parent

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and umbrella, They're weird names. One of them

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, I think, I'm pretty sure it's umbrella and

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you search umbrella on your day might come on.

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I think you know what's called parent. But I

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mean if somebody is going to be running my file

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, that better be savvy enough to change a friendly

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match a file path. That's something as a dating

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period. When if you create a deposit a record

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with us in our repository, I would look through

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that and try and recreate your work on my own

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. If I had any questions at all, if

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there was an issue with that, I might send

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you an email, hey, could you may be

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right right up to read me file to explain your

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workflow for using, you know, this this say

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what line number needs to be changed, correct?

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I understand. So and that goes in the middle

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. Yes, Yes. And and that's something I'm

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actually going to get to. Very short. Yeah

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. So publishing and archiving. So I I look

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at publishing and archiving, right? That is the

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same thing. But they go together when when you're

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picking an archive for your research, you know,

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again you're looking at what is my publisher requiring?

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What are my needs? Do I need uh a

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repository that restricts access. So we have I see

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PSR Yeah, that they hold a lot of human

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research. Uh fig share is open data site is

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opening. Data site is where we get our D

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. O. S from. Are you three?

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That is actually a great tool that I suggest you

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write down because it is a search tool to locate

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repositories. Right? So you know if you have

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any question at all in what kind of repository you

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should be using, take a look, we're happy

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to help you, but this is a tool I

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refer to on a regular basis. So Yeah.

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And again I think what was your question earlier about

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choosing repositories? Yes. Uh huh. As I

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I'm sorry I don't either. It was something about

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All right. I asked the question what what was

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that stopped posture Sheriff about moments. Yes. I

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guess also the blind the boston. Happy you actually

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right now it's this one of your presentation. Ask

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the pizza. Well you may have data that for

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whatever reason you don't want to publish it. You

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want to archive it and have it there on record

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. But maybe it's just a completely open data set

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that you don't want accreditation for. There are repositories

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out there that are very well suited for that.

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Again, most repositories have the ability to some sort

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of citation to put in any manuscript that you're right

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. But picking an appropriate repository takes time you have

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to do the research and ask yourself those questions.

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You know, you know, how long is this

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repository gonna be around? How, how long they

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been maintaining data already? Um what policies and sharing

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agreements uh do they have? And using tools like

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our three data are great for finding out those big

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questions that you'd be asking yourself before you publish data

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. Um and again, who's your target audience?

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You know, it may be that to get the

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most exposure you have to find a repository specifically for

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engineering, computer science, chemistry, whatever you know

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, whatever it may be. Um but don't forget

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as long as the publishing company that go with the

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publisher, manuscript doesn't state, don't publish in blood

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repository because you have to publish here, publishing as

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many of these as you can. Just make sure

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you use the same dont because that's going to give

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you the most exposure if that's what you're looking for

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. Um, you know, that that's perfectly acceptable

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exist. Yeah. A lot of these are absolutely

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free. Uh, fix shares free. It was

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when you mentioned described. Yeah PSR is prescribed but

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there's another one. Okay. Data verse diverse.

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Its data verse verse path, But the Virginia Tech

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one, correct. Mm So I should move on

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another thing to consider. And as a curator,

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I love when you can help me out with issues

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like this, try and publish and more open formats

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. You know, frequently we run across this,

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you know, data that we no longer have software

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for or we don't have a license to. That's

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gonna be the case if you're trying to share your

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data with people throughout the country throughout the world.

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Um, so what I have here is just to

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kind of a wow factor, show you all the

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different types of with the file types for text files

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here, raster image files, vector graphics, audio

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files, video files and database files. So just

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keep in mind there are a lot of file types

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out there. There are a lot of open file

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types out. There were more than happy to work

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with you. We have a lot of different software

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here for converting those file times. Um I guess

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lastly one thing I want to talk about and then

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collaboration, when we talk about storage, archival and

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publishing, you know, you really have to talk

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to, you know, have the conversation, how

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do these three things relate in a way that is

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conducive for my working environment. Uh huh. I've

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tried to put together tools uh and workflows for helping

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researchers manage the work they do and streamline uh their

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effort and their research. So what I have here

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, this is just a rough project file or project

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folder template that I came up with. I used

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to work in environmental consulting and they had a great

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file structure for just organizing projects that I thought was

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very translatable to research that it goes on here today

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. Open science framework is an open website that is

412
00:27:10.180 --> 00:27:14.650 A:middle L:90%
tremendous for collaborating. Uh You can organize a file

413
00:27:14.650 --> 00:27:17.609 A:middle L:90%
structure however you need to you can provide access to

414
00:27:17.609 --> 00:27:22.710 A:middle L:90%
specific individuals and you can integrate storage systems like google

415
00:27:22.710 --> 00:27:26.720 A:middle L:90%
drive, dropbox. Uh There's a huge variety and

416
00:27:26.720 --> 00:27:30.539 A:middle L:90%
they allow um I forget the actual limit but so

417
00:27:30.539 --> 00:27:36.869 A:middle L:90%
much on site storage. Uh So you can actually

418
00:27:36.880 --> 00:27:41.009 A:middle L:90%
it's similar to um get hub and a lot of

419
00:27:41.009 --> 00:27:45.019 A:middle L:90%
these coding sites where you can share notes with people

420
00:27:45.039 --> 00:27:49.170 A:middle L:90%
right up wiki documents explaining what work you you've done

421
00:27:49.170 --> 00:27:52.039 A:middle L:90%
or what you've been working on. So when your

422
00:27:52.039 --> 00:27:53.640 A:middle L:90%
collaborator comes in, you know, they can clearly

423
00:27:53.640 --> 00:27:57.799 A:middle L:90%
see a log of what's been going on and what

424
00:27:57.799 --> 00:28:02.349 A:middle L:90%
they need to do next. And from a system

425
00:28:02.349 --> 00:28:06.700 A:middle L:90%
like this, even from a server space, you

426
00:28:06.700 --> 00:28:10.039 A:middle L:90%
can manage these systems. If you really take time

427
00:28:10.039 --> 00:28:15.029 A:middle L:90%
to organize uh your project files, you can really

428
00:28:15.029 --> 00:28:17.940 A:middle L:90%
find, you know, interface with repository systems,

429
00:28:17.940 --> 00:28:22.509 A:middle L:90%
storage, systems, data management plan tools uh collaborate

430
00:28:22.509 --> 00:28:23.829 A:middle L:90%
with different universities, you can really integrate with all

431
00:28:23.829 --> 00:28:30.029 A:middle L:90%
these uh different parts of your research life cycle as

432
00:28:30.029 --> 00:28:33.910 A:middle L:90%
long as you find a system um and organize it

433
00:28:33.910 --> 00:28:36.059 A:middle L:90%
in a way that you can actually share the work

434
00:28:36.069 --> 00:28:38.819 A:middle L:90%
. So I can't emphasize that enough. Um And

435
00:28:38.819 --> 00:28:41.019 A:middle L:90%
again, I'm happy to talk about this and I'm

436
00:28:41.029 --> 00:28:45.069 A:middle L:90%
out of time for questions. But if you have

437
00:28:45.069 --> 00:28:47.660 A:middle L:90%
anything quick, I don't think any of your mind

438
00:28:47.670 --> 00:28:57.509 A:middle L:90%
. Yes. Yeah. Yes. Yeah. So

439
00:28:57.509 --> 00:29:02.769 A:middle L:90%
that you can publish on which is homers for government

440
00:29:10.339 --> 00:29:26.839 A:middle L:90%
? Yeah. Yeah. Mhm. Mhm. Yeah

441
00:29:29.839 --> 00:29:37.839 A:middle L:90%
. Uh huh. Yes. Mhm. It's just

442
00:29:37.849 --> 00:29:42.230 A:middle L:90%
a collaborative environment. So what you do is you

443
00:29:42.230 --> 00:29:47.509 A:middle L:90%
come in here and uh you create a project.

444
00:29:47.519 --> 00:29:56.740 A:middle L:90%
So I think I'm already on a private Yeah.

445
00:29:56.750 --> 00:30:03.059 A:middle L:90%
Creative project and whatever you want, I've created a

446
00:30:03.059 --> 00:30:11.950 A:middle L:90%
couple of template projects actually open. Yeah. Okay

447
00:30:14.240 --> 00:30:18.880 A:middle L:90%
. Mhm. And you set up whatever type of

448
00:30:18.880 --> 00:30:26.490 A:middle L:90%
file structure that you want and get a contributor at

449
00:30:26.490 --> 00:30:30.529 A:middle L:90%
new contributors to your project. You can upload single

450
00:30:30.529 --> 00:30:37.190 A:middle L:90%
files, you can go to specific folders and write

451
00:30:37.190 --> 00:30:41.430 A:middle L:90%
notes for that particular section. So if you uploaded

452
00:30:41.430 --> 00:30:45.029 A:middle L:90%
a new file and you needed joe in new Hampshire

453
00:30:45.039 --> 00:30:47.390 A:middle L:90%
to review this file, you can write a note

454
00:30:47.390 --> 00:30:48.279 A:middle L:90%
in there and there's a time stamp. So joe

455
00:30:48.279 --> 00:30:51.640 A:middle L:90%
knows, hey, you dumped this file and he

456
00:30:51.640 --> 00:30:53.039 A:middle L:90%
needs to review it and and get back to you

457
00:30:53.049 --> 00:30:56.440 A:middle L:90%
on what the next steps are. It's just a

458
00:30:56.440 --> 00:31:00.119 A:middle L:90%
great environment for collaborating in those ways. And another

459
00:31:00.119 --> 00:31:06.480 A:middle L:90%
thing is uh jenny was the settings that we had

460
00:31:06.490 --> 00:31:10.769 A:middle L:90%
the Yes. So here is where you can link

461
00:31:10.769 --> 00:31:15.829 A:middle L:90%
up amazon, dropbox diverse fig share um, any

462
00:31:15.829 --> 00:31:18.039 A:middle L:90%
of these sites. So you can actually have bulk

463
00:31:18.049 --> 00:31:22.559 A:middle L:90%
data and have access to that data through this site

464
00:31:22.569 --> 00:31:29.809 A:middle L:90%
. So what happened? So it actually takes you

465
00:31:29.819 --> 00:31:33.559 A:middle L:90%
to the specific, you can opens it within.

466
00:31:33.940 --> 00:31:38.059 A:middle L:90%
Yes, but you can spit take a subdirectory.

467
00:31:38.640 --> 00:31:41.630 A:middle L:90%
Uh, so if you have, I'm sure you

468
00:31:41.630 --> 00:31:44.650 A:middle L:90%
do a ton of information that you don't want to

469
00:31:44.660 --> 00:31:47.619 A:middle L:90%
be accessible. You just go to that subdirectory and

470
00:31:47.619 --> 00:31:48.799 A:middle L:90%
that project on your google drive and that's all they

471
00:31:48.799 --> 00:31:52.990 A:middle L:90%
have access to. So you do actually map.

472
00:31:53.039 --> 00:31:57.130 A:middle L:90%
So if you want information science project framework projects could

473
00:31:57.140 --> 00:32:00.269 A:middle L:90%
be linked to a specific project folder on my Children

474
00:32:02.039 --> 00:32:05.339 A:middle L:90%
, but I believe so, I was having issue

475
00:32:05.339 --> 00:32:07.490 A:middle L:90%
with that earlier, so but they're still working on

476
00:32:07.490 --> 00:32:10.740 A:middle L:90%
when we worked on somebody else's faculty, um they

477
00:32:10.750 --> 00:32:15.200 A:middle L:90%
wanted to have edit within this, but you can't

478
00:32:15.210 --> 00:32:17.480 A:middle L:90%
edit google doc, you have to view edit view

479
00:32:17.490 --> 00:32:22.500 A:middle L:90%
only. So it appears whenever you edit, it

480
00:32:22.500 --> 00:32:23.559 A:middle L:90%
was in a good driver that was in this and

481
00:32:23.839 --> 00:32:27.200 A:middle L:90%
open Science when people say they are working on it

482
00:32:27.210 --> 00:32:32.759 A:middle L:90%
hasn't happened yet. Oh, any other questions?

483
00:32:34.339 --> 00:32:37.299 A:middle L:90%
But this is pretty powerful. Yeah, the all

484
00:32:37.299 --> 00:32:39.470 A:middle L:90%
the FBI it sounds like what the storage might be

485
00:32:39.480 --> 00:32:45.859 A:middle L:90%
really good for is is so everything you can set

486
00:32:45.859 --> 00:32:47.349 A:middle L:90%
it up so that everything you've done on your open

487
00:32:47.349 --> 00:32:52.289 A:middle L:90%
Science and we'll automatically get backed up to one or

488
00:32:52.299 --> 00:32:54.140 A:middle L:90%
more. But you might want to actually do your

489
00:32:54.150 --> 00:33:00.619 A:middle L:90%
collaborative work just within the Open Sign Current work framework

490
00:33:00.630 --> 00:33:04.940 A:middle L:90%
and you edit it there and then archive to easily

491
00:33:04.950 --> 00:33:07.329 A:middle L:90%
one of these other. Right? You get that

492
00:33:07.329 --> 00:33:12.140 A:middle L:90%
work I uh, that sort of intended to do

493
00:33:12.140 --> 00:33:14.480 A:middle L:90%
. I I haven't explored all of those functions,

494
00:33:14.480 --> 00:33:20.309 A:middle L:90%
but I've tried to do the basics. You are

495
00:33:20.309 --> 00:33:32.859 A:middle L:90%
you ready? Uh huh. Mm. Okay.

496
00:33:34.440 -->  A:middle L:90%
Yeah.

