 So, hi. My name is Al. I'm the Research Data Librarian at the USU Libraries and this is our little webinar slash Data Palooza session. It's an introduction to our Research Data Management Services and sorry, we still have a couple of people popping in and I wanted to give them a chance to join us. But anyway, I'm Al. I'll be leading this session and I also wanted to introduce Mike, my co-host. Would you like to say a word of hello, Mike? Hey, good afternoon everyone. My name is Mike Schell and I am the Library Assistant for Data Research Management Services and I help Al with their responsibilities. So, I'm really excited to have you all here and hopefully we'll give you some good information that will help you with your research and your data management. And a couple of things about the session today. We are recording it because we want to make it available for other folks who couldn't join us at this time. And that was all of the other... If you have any kind of technical problems, please enter them into the chat and Mike will help with them. He's acting as the Zoom host and helping with those bits. Were there any other introduction or technical aspects that I'm forgetting? No, I think we're ready. Sorry, Del. Okay, great. Also, did we get everybody in from the waiting room? It seemed like there were a couple of late comers and I was just giving a second to all of them. Everybody is in. Okay, how many do we have? There are 12. So, thank you everyone for coming. And it's small enough. I was hoping that it would be to give folks a chance to introduce themselves. And so this is the point where Mike, I think, posted it in chat. And so because doing these webinars over Zoom is really kind of alienating or it's hard to get a sense of everybody. And so I was going to ask you to introduce yourselves really briefly since we're a smaller group. And I believe Mike posted that into the chat session, hopefully. But just your name, your departmental affiliation, your research interests, and your favorite kind of ice cream. And so I'm Elle. I work at the library. My research interests have been around data practices and the sciences. And my favorite flavor of ice cream is all flavors of ice cream. Okay, Mike, since you can see everybody, can you call on someone? Well, I will go next. Like I said, my name is Mike Shelton. I am the library assistant for Research and Management Services. Beyond library science and data management, my academic background is in history. And I've dubbed it a little bit in linguistics. And I'm kind of like Elle. I like all ice cream. Cookies and cream is my favorite, but I also really enjoy the lemon custard that Aggie Ice Cream offers. Jennifer, could you introduce yourself next, please? Yeah, no problem. I'm Jennifer Skukie. I'm the director of Research, Integrity, and Compliance here at USU. My background is in technical communication and rhetoric. But now I work with compliance and research integrity, all of that fun stuff. And my favorite flavor of ice cream is mint chocolate chip. And if anyone else would like to introduce themselves, please feel free to unmute yourself and do so. Or to do so in the chat. I'm going to say Mike. Sorry, go ahead. I will go ahead and introduce myself. I'm Kelsey Hall, and I'm an associate professor of agricultural communication in the College of Agriculture and Applied Sciences. My research is with my extension appointment, as well as my teaching and research, I focus on farmers and consumers' attitude, knowledge, behaviors, and regards to local food businesses, helping them with marketing and procuring, purchasing local food at farmers markets, farm stands, community-supported agriculture programs, restaurants, and farm-to-school programming. Great. Thank you. I see a couple of, you know, you've also turned on your cameras. I'm a little shy, but please introduce yourselves. I only have one monitor here, and so I can't see your names. Hey, everybody. My name is Sarah Harper. I'm a postdoc in Kinesiology and Health Science. My research can be quite broad at times, an easy way just to sum up is kind of an exercise and aging emphasis, so I'm excited to be here. Thanks for hosting. Thank you. I can go next. My name is Kaylee Mueller. I'm in the Environment and Society Department, and my research, I'm a first-year master's student, and my research is looking at how human use of primary production from plants affects biodiversity in the United States at a broad scale, and I'm excited to be here. Great. Thank you. Hello. My name is Ann Beethy. I'm a postdoctoral fellow in the Kinesiology and Health Science program as well. My research is a little bit more focused on Sarah's, is basically on the neural control of movement. I try to understand the excitability of the motor cortex and how that influences our ability to produce motor control. Do we have any others who are willing to introduce themselves? Hi. My name is Patricia Aya. I'm a PhD student in environmental engineering, and I'm working on wastewater treatment. My research is in wastewater treatment, so I'm dealing with a lot of wastewater treatment plant data. My favorite ice cream is the lemon custard also at Agi Ice Cream. Yeah, and I'm happy to be here. Thank you. Thank you. Any others? I want to thank all of you for attending and for introducing yourselves. I'm really excited. It sounds like it's a really heterogeneous group. Lots of different departments out there, and if you have any specific questions that you'd like us to get to, I think we'll have enough time in the end. But if you could put them into the chat so that we're sure not to overlook them when we get to the questions at the end, I would appreciate it, and Mike will help with collecting those. And so we get a lot of data-related questions, such as, where do I put my data? Where can I find similar data? What data am I required to make available for my funders? Why do sponsored programs need to track my publications? What should I do if I have sensitive data? I'm required to make data publicly available. What's a data management plan? And these are the kinds of questions that we're going to cover today, but also it gets into this bigger question of why worry about data management. The number one reason to worry about it is that it makes your grant applications more competitive. It increases the likelihood that your papers will be cited by others, which for academia is a huge one. There have been a couple of big studies that came out recently that showed that papers that made their data available were much, much more likely to be cited. And depending on what you mean by make available, the last one showed about a 20 or 30 percent increased likelihood of being cited because they had made their data available in a public repository. Number three, you'll forget the details if you don't document your data. That's actually the number one reason, in my opinion, of your future self. Well, thank you when you go to deal with your data again in the future. You can build and use and automate more complex data sets if your data are well described and organized. You can increase the likelihood that you'll be able to recruit talented students and staff to your research projects. That's particularly important if you're working on a larger region research project. It increases the likelihood that your research can be verified or reproduced externally, which increases the academic rigor for your projects, but also for your domain as a whole. There's the question of if it was worth collecting, isn't it worth sharing? Your students will thank you. And if you have students or coworkers or advisors, if you're a graduate student, you'll get more efficient at it with practice. And so as you go forward in time, it becomes less effort. And finally, one of the things that many people don't realize is that you can publish data papers that you can publish a paper that's describing your data set that other people can use and cite. And you can accrue credit for that specifically. And many data managers, data archives, and funding agencies have started to support these fair principles of making data findable, accessible, interoperable, and reusable. And so this is something that comes out more and more frequently now. And reproducibility is also a major theme with that. And so these are parts of the discussions that have been going on around data management these days in the literature. And so another major reason to think about how your data is organized and where to put it, and particularly to put it in an archive that has long-term sustainability plans, is that many, many of the things that have been put online over the years are not available anymore. They disappear really quickly. And that's what this little cartoon from XKCD is about. So what do we do? Where do we fit in with all of this? Our mission is to support the USU community in managing and making available its research data. It achieves this mission through providing data consultations, serving as an active partner with the Office of Research Efforts to track data and publications resulting from research awards, and in managing the storage and archiving of research data, particularly in digital commons. The history. So in some ways, the RDMS at the library came out of the OSTP memo in April of 2013, which required the results of federally funded research to be made publicly available. This has been a big deal for a lot of universities because it like all of these federal granting agencies now require anyone who receives a grant to make their publications and data associated with the publications available. And in some cases, the data associated with the grants. So as a result, the university began offering data services in spring 2015 and created a full-time data librarian. That data librarian led a committee to build out the program. And that program was fully implemented around that time as well. It concluded they put together committee and that committee co-coded its work in 2016. And so for that reason, the RDMS services resides with the university library, but also interacts with sponsored programs to help manage grants and grant reporting. So the program itself includes myself, the research data librarian, as well as one full-time employee, Mike, on student assistance. Are there any questions at this point? It's all clear as mud. But so what I wanted to cover today, and then hopefully leave time for your, if you have specific data management questions, is our data services, what we do for funded research, for faculty, staff, for graduate students, and for undergraduates, and then cover some tips. And then we also have tutorials and teaching resources available. And so we wanted to do a quick run-through of the services that we offer, and then some of the comment, like tips, and also point you at any of the tutorials and teaching resources that we have, because we have some within Canvas and also on YouTube and things. We have some videos and things that are available to use in your courses, in addition to use as training materials. So one of the big things that we do is we work to provide services for funded research. This comes back to that OSTP memo that requires federal agencies to develop plans to make public results of research publicly available within one year of publication. This is resulted in the development of public access repositories with the requirement to deposit publications. One of the things that's difficult about this is that each agency, and often each division, has its own requirements. And so there are a number of different public access repositories. And so we have all of those different agencies and repositories listed on our website. And that's one of the consultation services we provide. It's helping people track down where their publications and their data needs to go. So, and this next slide is a brief overview of this grant award process. And mostly what I wanted to make folks aware of is that we collaborate with the Office of Sponsored Programs. And because of the OSTP memo, because of these requirements for making publications and data publicly available. Sorry about the noise. We collaborate with sponsored programs in order to help create publication records and tracks those publications so that when it comes time for PIs and researchers to do their reporting, all of that information is relatively available. The materials are publicly available and it is much more seamless for everybody in the reporting. So this is a quick overview of how that works. And the main thing to remember if you have a grant is that we send out reminder emails asking for updates about publications and data sets. And that's done on an annual basis. And so this is just the workflow of how we do that. Any other questions or comments? Is this something that folks are familiar with that they've encountered these reminder emails from sponsored programs and from our office? No comment. It seems like a lot of you are graduate students, so I don't know how much experience any of you have with having to do grant management. I was going to say for a lot of the USDA grants I receive, the farmers market promotion program grants or the local food grants or even our higher ed challenge grants. Most of them have never required data management plan as part of the application process. There was only one grant that was a higher ed challenge grant for secondary in higher ed that even required it in my 10 years here. Most of my local food grants with the USDA don't require any of that. I just do it with digital commons and publish everything and publish all of our publications and extension and our journal articles through digital commons. So it's accessible to everybody, but they've never asked us to actually include that as part of our application process after our funding or even as part of the grant application. But then do you report on it as progress as well? Yeah, we do annual yearly reports and like our FMPP grant is a three-year grant and every year in December my grant is reports due by December 31st and they never require a data management plan. I just have our they give us a form and they want us to include everything into that application and write all of our results all the projects all of our challenges and the upcoming tasks that we're going to do for that academic year inside their reporting system. Yeah and that was part of what I was trying to convey is that it's really variable from not just agency to agency but from division to division and that's. Yes I absolutely agree with you after having the higher ed challenge grant with more expectations for the accessibility of the data and the excel files and the reporting than that of the local food grants and I thought about a little bit maybe the reasons is that so many of our local food marketing grants will go to nonprofits, farmers markets, direct marketing farmers and so perhaps the need of that data is such a very different like system for USDA than that of maybe our higher ed grants that tend to implement curriculum and then measure the changes in knowledge and the teaching strategies that we've used in that curriculum. So yeah you're absolutely right I've definitely seen my program by program. So thank you for sharing that were there any other comments I couldn't tell if there was another microphone on there for a minute. Well thank you and as I mentioned every division and every agent every agency and even within division has its own requirements both for making publications publicly available whether it's in their access open access repositories or in any open access repository and that's part of what we work with faculty on is making sure that they know where they need to be putting things if they need to be putting things somewhere and another aspect of that is in data management plans and that's the data management plans are often part of the grant application and in many cases they're pretty short like two pager and and again it varies by agency and division and so that's part of what we're here to help with. They often include the type format and the amount of data how it will be described organized stored backed up archived and made publicly accessible who will be responsible for taking care of the data what costs are associated with managing the data and any issues anticipated regarding the reuse or sharing of the data. The nice thing to know about this is that with that OSTP memo and with these requirements for data management plans is that you can include the cost for managing the data in the grant application itself so that you can ask for monies to help describe and manage the data and so we do offer resources to help with data management plans. The session tomorrow is all about data management plans and there's also a nice tool called the DMP tool that's available to USU researchers. So another way that we work with faculty staff and students is around sharing their data and preparing their data often the two main reasons that folks are sharing data is either that it's required for their grant or that it's required for their publication in some cases it's for theses and dissertations in some cases it's for a journal many many journals these days have a requirement to make the data available in conjunction with the publication and so that's important to remember and to think about particularly because some journals will come and say like okay we've accepted your publication but the data needs to be available prior to us going to print and so you need to have a plan and have your data ready to go in a publicly available and fully described archive in order to have the publication go out and so we regularly receive kind of anxious emails from faculty who are like oh I have this publication ready to go but this data set needs to be made available and so that's something that we also help with but it's a lot nicer to get it in advance and not I need to have this out by tomorrow so we do the best we can to accommodate it but it's sometimes hard when it's on a really short deadline so one of the ways that we work with the faculty students and staff is to help them in preparing their data for sharing that can include choosing the proper repository where it needs to go there are lots of different disciplinary repositories there are some that are really designed for code there are some that are designed for different kinds of data we can take things in digital commons although it's a more generic archive and so that's part of the discussion that we have with researchers when they say I have data and so we usually ask some questions about who's like where is somebody requiring this to go somewhere what kinds of requirements do they have what kind of data is it and so that we can match those needs with where it goes in the end we also have conversations with researchers about how the data is described it often involves creating a readme file so that the data is adequately described so that someone else can use it I know what's there if you deposit your data in digital commons a readme file is required you may also need to create a data dictionary or a code book in order to so I might know it's just reset on me it's with your patience with that my internet connection is acting up is is the video lagging at all or is it still working okay you're okay hill okay so did I totally lose my place here we were in this slide weren't we yeah yeah you're good um so as I said with many federally funded grants you have to deposit your publications in a place that's publicly accessible and freely available within one year we have all of those requirements listed on our website and so that's useful to know there are a lot of them and you often have to click through to your specific agency and your specific division but that's a part of what we have on our website and that's part of what we consult with researchers about so don't hesitate to ask us if you if it's confusing or if you have questions or if it's unclear we do often also send questions to the the grant program officers if it's not clear what is exactly required in those public access requirements but the thing to remember about grants and funding requirements is that some of them will send you notices saying that you need to make your publications and data sets available some of them don't but it is ultimately the PI's responsibility to comply with those and so we try to help with that as much as we can we send out reminder emails and we encourage folks to update their list of publications with us because it makes it a lot easier when it comes time for reporting because all of those materials are already compiled in a list and the things that we can put into digital commons we put into digital commons and we have DOIs and all of that stuff for them for the data sets so we strongly encourage everyone to put their publications into these primary metadata documents which is what we call that list of publications for grant reporting so are there any questions about that I know it's not the like most exciting part of research but and so this is where I wanted to turn it over to Jennifer in the research office for a moment to talk about export control because that's another aspect that we touch upon occasionally that has to do with making things available and collaborating with other researchers and so thank you for joining us Jennifer can I turn over the screen sharing to you she wanted to say a couple of words about export control yeah thank you oh okay so thank you for giving me a few minutes the reason I want to talk a little bit about export controls is because it can and often does apply to data and when we're thinking in terms of data management there are some concerns that can come up in your research especially if you're on a federal grant you might see some of this stuff so just a quick overview just to give you an idea what to look for export controls involve the federal laws and regulations that govern the transfer of information commodities materials technology and software so today we're looking more specifically at that information aspect of it and these laws are in place to help us or help the U.S. preserve national security has to do with economics and foreign policies so certain activities might be restricted or require an export license and that's where we kind of have to pay attention to what's going on there and export just a quick definition of course anytime you're shipping materials abroad but when we're thinking more in terms of information data we typically look at things that are being shared electronically and this can be whether you're sending it to somebody that is actually overseas or if you're sending it to a foreign person who is residing in the United States or you're sharing your data with somebody say in your lab who is a citizen of another country and he's here on a visa so that's that's what we're looking at and the regulations apply no matter if it's an export or if it's a deemed export there's a few agencies that govern these regulations the Department of State governs ITAR which is basically military and weapons the EAR is governed by the Department of Commerce and that's kind of where we'll see a lot of these restrictions fall into place and a lot of things fall under that category that you may be dealing with and then the Department of Treasury governs OFAC which has sanctions embargoes things like that some red flags that you should be on the lookout for if you see these contact me if you have restrictions on publication rights that's definitely something we want to know about in our office restrictions on foreign participation if you're sharing encryption source code if you have a military sponsor or collaborator or if you see any sort of reference to sensitive or export controlled data or information in your contracts anymore reach out to me here at the division of research integrity and compliance I'll be able to help you figure out what's going on with that and answer any questions that you might have and work through whatever issues are present there in terms of your data and export controls and I will hand it back to you L. Thank you I had one question that it seemed like you covered but I just wanted to clarify the export controls also apply to just making data public as in part of the because it is when you make it public it's going anywhere in the world is that not correct right exactly and certain data cannot be made public in such a way just depending on the nature of the data a lot of the stuff that happens at research institutions will be exempt from those restrictions but some of it is not and it can be really difficult to determine if it is or not so if you're ever concerned typically if your work has anything to do with military or weapons or space related stuff then that's where we find the most areas of concern but if you ever have any other types of concern definitely let me know. Well thank you were there any other questions from folks here about export control before we can go back to talking about data services. Hey L this is Blake Tullis I was just going to mention that I think often if you have a research project contract with an agency like you were saying NASA or the military I would think the the proprietary nature of the data would be explicitly explained in the contract so you probably would be left with very little question about whether you can publish the data or not so understanding the agreement that's been established as your contract would help keep you out of trouble I would guess it either can be published freely or it can't be published at all and there's any questions Jennifer could help you with that but I would think your contract probably also clearly delineates what you can and can't do. Thank you but that was what we were trying to communicate and I believe much of what the presentation was about was encouraging folks to be aware of what their requirements are and if we see any red flags knowing that we'll be referring them over to the officer research for making sure that everybody's aware of what they're required to do. Thank you Blake were there any other questions so thanks for joining us and the contact information is available in our slide deck and I'll be adding it to the canvas site as well I haven't put that in just yet because it's a little bit a lot to manage both the slides and all of what's up on canvas but I'll have that up later today so thank you and bring us back to our slides okay are those coming through again yep well you're good to proceed thank you okay so in addition to all of the work that we do around funding research and compliance we also work with faculty to provide more general research data services like for publications as I mentioned but they also include consultations with where to archive data how to describe it how to package it and how to identify services to help with those processes so if you have a publication that requires you to make the associated data available we're here to help if you have a project that you want to make the data available from we're here to help with that we can help you find the appropriate repository and make it accessible for others we make recommendations on how to describe the data and all of those things so please don't hesitate to contact us we also provide similar services for graduate students in addition to helping them with publications we also help with theses and dissertations and making that associated data available primarily in digital comments we also provide training and tutorials such as working with the officer research on the responsible conduct of research training for for the NIH providing data management seminars and so on and again if you have a publication that requires that you make the associated data available we're here to help with that let us know preferably with more than 24 hours notice but we're always happy to help and we'll help get it out as quickly as we can we also provide services for undergraduates from for undergraduate research projects there's a in addition to some tutorials that we have in canvas around research data management that have been used in a lot of classes we encourage faculty to to use those modules they've been used because in canvas you can import modules to use in your classes and so there's a data management module that's been used a fair amount and we've been developing some more modules as well including data management plan module we also have work to facilitate uploading and making data available from the student research projects that are in digital comments and so if you're an instructor and would like to have a guest lecture on data management we're here to help with that we have some modules that are already available in canvas that you can plug and play into your courses and we're happy to do anything in between if you would like a module for one of your classes that we don't have let us know and we'll try to get that out or if you would like a guest lecture or virtual guest lecture we're here for that as well are there any questions about the different services that we provide for research faculty staff graduate students undergraduates questions or comments are there any undergraduates here I didn't I saw a couple on the list but I didn't know if they actually made it in today it doesn't look like we have any of our undergraduate colleagues here today I'll okay cool um so we have a handful of tips that since we have you here today we wanted to re-emphasize that creating a good description of your data set is a really critical element to making it findable accessible and reusable by others in addition to facilitating sharing it also plays a key role in research being replicable and interoperable and so well written metadata is a really important part of all of our activities and so when folks come to us about sharing their data we often have conversations about the data set and about the metadata and creating a readme file and so oftentimes we ask questions like why was the data created what processes were used to create the data when was the data last updated who created it how was it being documented what are the column headers what fields are present and that's what I was talking about earlier when I mentioned creating a data dictionary and also other basic information like who do I contact about getting more information for the data how do I obtain a hard copy of it if there are hard copies and are there any limitations to using the data so and so part of that is also just making clear that when folks approach us and say hey I have this data that I want to deposit or archive or share that there's often a conversation that goes on to make sure that it's well described and to really make sure that it's usable for other people once we ingest it into the into digital comments or wherever it's going so when you're depositing your data as I mentioned you have the option of putting it into digital comments we're here to help with that one of the things to remember is that a readme file is required for that and so that's the short version for digital comments data storage important quick tips it really where you put your data and how you store it really depends on the nature of your data that's why we often ask so many questions about it before we make a recommendation of where to put it and so that's why we say you should check the storage options to make sure it's appropriate for the type of data you will collect it's also one of the reasons why many funders require data management plan is it forces researchers to think through all of these steps before they start collecting their data and so we have some references available for that whether it's the quick reference chart tells you where you can store your data and the types of data in each category and some handling requirements that basically talk about whether or not that storage medium is a very safe place to put it so it's basically encouraging folks to have a backup plan and there are different discussions on I'm glossing over it a little bit because many many folks have been putting their stuff into box and there's a little bit of it's a little unclear how box is going to be managed in the future and so we've been receiving questions about it but we haven't heard yet from campus it what their plan is for the long term and so generally we do encourage folks to put things into box the our overarching recommendation for data storage falls under this 321 plan which is three different copies on two different locations with more than one storage medium and so that would be save to your desktop save to an external hard drive and save a copy on box save it on your desktop save it on the departmental server save it to box that's three different copies in two different places on more than one storage medium so and I was kind of curious if just how many people had things up on box and if folks had had any problems with using box by and large it seems like it works well for folks any comments everybody been happy has been happy with using box no concerns but that was a very short version of talking about data storage and data storage recommendations that it's actually much much more complicated than I just explained partially because if you are working with sensitive data at all you can have concerns about access and box is one of those that is recommended because it is secure and there are questions about if you put it on a thumb drive is it adequately secure do you are you locking it up and things like that and when I did my dissertation research I was working with I was doing interviews with folks and so that's considered human subjects data and so there were all of these concerns about whether or not I was locking up my drives at the end of the day and things like that and that is something that we also consult with folks about but because every researcher is doing things a little bit differently that's why we encourage folks to talk to us and there isn't really a blanket oh just put your stuff here so anyway long story short we have tutorials and workshops and we've done guest lectures and we're happy to tailor it towards your students or towards your needs or to do one-on-one consultations we also have a number of things that are available for asynchronous learning and so this is a short list of the tutorials that we have this particular session is based on the introduction to research data management services so if you get into that tutorial you'll find that it looks very much like what we were doing today we have a basic data management tutorial which I would recommend if you would like to engage more with some of the tips that we had for data storage and for basic data management organizing your files file naming conventions things like that we have one that's dedicated to data management plans which is what we're going to cover tomorrow in the afternoon and so if you have to do a data management plan or if you have questions about data management plans I encourage you to come tomorrow or to engage with either of these canvas modules the nice as I mentioned the nice thing about canvas modules is that you can import them into other courses and they're available to do that so and we also have a little data management video up on youtube it's available it's under the library's youtube page so any questions on those have uh are there any instructors here that have used canvas and imported modules from other courses is that something that they're happy with how it works is it something that you would consider doing it looks like patrick has done that so thank you for the feedback on that yeah were there any comments that or or requests that you would put in while I'm I guess I don't know if I failed to disclose this I just started in this position in January I'm relatively new at usu and so I haven't interacted with very many faculty who've used the modules and imported them into their courses and so I didn't know if you've had experience with that and would like to give us any feedback on how they work either in general or with any of our modules so I would love to hear it so feel free to speak up now or send me an email or if you would like to use them in the future please let us know or happy to help with that but they are those canvas modules are all available the other thing that I wanted to mention about that is that we have four or five modules more that are in the works and so if there are modules that you would particularly like to see on data management topics please let us know and we'll work to develop those ones out or prioritize making those ones available first so so other resources that we have is there we have recordings of past training sessions we have last year's data Palooza which included four or five speakers do you remember Mike exactly how many speakers we had for last year we had several speakers last year and we covered a myriad of topics designing surveys how the best way practices for handling tabular data and also some real-life best practices for organizing research projects and lab work and whatnot so that is worth perusing if you have any questions or interest in any of those topics yeah and these training are these recordings of past training sessions are also all available on our website and so it includes this year's data Palooza and we're going to make these sessions available last year's data Palooza as well as some graduate training series and some training for research faculty as well as some forums from past years and so how we're doing there we go but that they're available here in this canvas site they're also available on our website they're a little bit buried but they're all there and so I wanted to say thank you for participating and if you have questions feel free to email me I'm here Mike's here are we're available and are there any questions were there questions that came in through the chat like does anybody want to jump in hey we have not had any questions on the chat but please feel free to put that in or unmute yourselves and ask El and I anything you are curious about under or you don't understand or pretty much anything data related you can feel free to ask us at this point yeah I left about five minutes to for folks to ask data related questions just what brought them here today if there was something that I didn't cover that they're curious about this is your five minutes I would love to hear what your data questions are hey El maybe I can just say is kind of a promotion for this event and other events like this the training that our data management team provides I think as researchers I think we had a lot of graduate students a few faculty members perhaps but when you get into research research is awesome and often we just keep our heads down and we keep moving along and the goal is to get to whatever the end is the publication the dissertation the thesis and it's easy to look past best practice for data management now again El and Mike are here to help us stay out of jail right so we can be compliant with what our requirements are but also the training that I mentioned from last year's data pollution there's a lot of things for best practices and tricks things and it doesn't matter until it matters you know when I've lost my data because there was a fire or a computer hard drive failure you know that I follow that rule of having it in multiple places or maybe the most important thing that ever comes out of my research is my database that somebody else does something with you know and that becomes famous and so in the goal to get to the end whatever the end is you know paying attention to the training provided here and utilizing the skills and so on will help you be successful that you won't lose your data it'll be usable by other people you can archive it appropriately lots of lots of tricks you can learn along the way that are easy to to look past if I'm just looking at the end result so I appreciate the training provided today and in the past and so on and encourage you to yeah to be involved with this team and ask questions as you come so that so they can help you be successful you're not necessarily uh it has to be compliant to their requirements they're just here to help you meet the requirements for your research that other you know the federal agencies are imposing and so on and best practices so anyway yeah thanks Elle and thanks Mike and this is good stuff thank you I really appreciate it yeah thanks Blake I just want to um put in my two cents here uh Elle and I understand how stressful your work and your lives as researchers can be not only we realize not only are your researchers several of you are faculty members we have graduate students in this group we understand that you have you know courses you're teaching some of you have courses you're taking and that you've all got a lot on your plate so we're here to help um please feel free to come ask us questions uh if we don't know the answers we have plenty of contacts we will find the answers for you and we will do we can to make you successful in your research endeavors are there any other questions thoughts or stories one of my classmates uh when I was in grad school and working on my dissertation uh she was focusing on uh electronic records and but she didn't have her data backed up and so when our primary hard drive on our computer failed she lost like six months worth of dissertation data and she was like uh you know being in information studies she was giving lectures on how to back up your data and how to do good data management and uh so it it catches all of us and I uh you know it's it's always easy for it to kind of get kicked down to the bottom of the pile of things to worry about but it really does pay off to be organized and have it taken care of so that you don't have to worry about it so that when you have a hard drive fail you can just move on and not have to spend a day or a week or a month like worrying about how do I get that backup copy or how do I recollect that data that's just gone but anyway and there are lots of like horror stories out there I didn't put very many of them in there today but anybody else have a horror story they want to share well we're just about at five minutes and I wanted to before I lost everyone ask them to give us some feedback on data police in general on this session in particular and I have you put this in the chat yet Mike yeah the link for this exit survey I put up about five minutes ago it's there in the chat you should be able to see it please help us by filling that out so that we can understand what your needs and your concerns are a little bit better and we can prepare a little more targeted information for in the future and so I wanted to give you all like you know two to five minutes to do it before you got lost it's um uh it's anonymous so we won't know who you are if you have specific questions that you want us to respond to you will need to put your name in the chat in order or in the survey for us to get back to you otherwise it's completely anonymous and so feel free to to ask questions or to give feedback or to send us an email if you have concerns that you would like us to address so thank you I really appreciate you coming I really appreciate you taking the time to introduce yourselves and and participate were there any other questions well I was um oh go ahead Mike I just to say it doesn't look like we're having any more questions so thanks to everyone for attending yeah and I hope we'll see you tomorrow if you're doing data management plans thanks again looks like folks are out and will you stay on for a minute Mike is absolutely I tripped over myself like 50 times yeah it's all right I'm gonna turn the record off