Assessing Data Management Needs and Practices to Enable Research Data Support Services
Smith, Plato L.
Bossart, Jean
Researchers are faced with many data management challenges resulting from the need to comply with data management and sharing requirements of funding agencies. While major funding agencies such as the American Heart Association (AHA), National Institutes of Health (NIH), National Science Foundation (NSF), and United States Department of Agriculture (USDA) have data management and sharing requirements guidelines and/or statements, researchers seeking funding struggle with complying, fulfilling, and negotiating data lifecycle management. Data lifecycle management requirements include a.) The key components of a data management plan (DCC, 2013), b.) Key data lifecycle processes (USGS, 2013), c.) Data management lifecycle (UNSW, 2017), and d.) Research data management services (Jones, Pryor, & Whyte, 2013) for scalability and sustainability. The coordination, collaboration, and connection of diverse stakeholders across multiple departments, organizations, and units in support of good data management requires consistent organization, technology, and resources to maintain stability (University of Glasgow Humanities Advanced Technology & Information Institute [HATII], University of London Computer Centre, DCC, & Joint Information Systems Committee [JISC], 2013). The University of Florida (UF) is in pursuit of good data management within and across multiple disciplines. “It will be difficult to improve your institutional infrastructure without an overall understanding of the data you currently hold and how researchers at your institution are managing their data.” – CARDIO v.2 (Collaborative Assessment of Research Data Infrastructure and Objectives) A UF data survey (IRB# 201602303) titled “Investigating Data Assets, Management, and Planning at UF” administered from January 2017 through April 2017 yielded results in support of education, support, and training to better assist researchers in meeting the data management and sharing requirements of funding agencies. This presentation will introduce preliminary data survey results that contributed to the development of a NSF Computer and Information Science and Engineering (CISE) Research Initiation Initiative (CRII). The purpose of the CRII is to develop socio-technical (people, policies, technologies, and communities) components to build capacity, infrastructure, and support for expanding and facilitating the culture of good data management across UF communities of practice.
 Good morning. My name is Plato Smith. I'm the data management librarian at the University of Florida. And my colleague, Jean Bossert, she's not here, but she contributed presentation as far as doing visualization of some of the graphics. Also, we're working together for a plus one article as a result of the data survey. Launched a data survey between January 3rd and April 31st of 2017 and basically is IRB approved survey of the researchers at University of Florida to analyze or assess their data management needs and practices. And so this presentation is just going to briefly touch on some of the questions from the survey, but also some additional support. This is ground context, research purpose and table of contents. Okay, pretty much of this background and context basically done multiple data management workshops. The first two at Marston Science Library and also Informatics Institute were pretty much this general data management workshop. Introducing faculties to data management plans and actually the key components of data management plan according to the Digital Creation Center checklist for data management plans. Also the key lifecycle process using the USGS science data lifecycle. As a result of these workshops, we were invited for guest speakers for University of Florida Division of Student Affairs and also Biomedical Science and Graduate Linguistic Society seminar. For the first presentation, the training workshop at Informatics Institute. I'm a little nervous. I'm sorry, Dean. This is the first presentation where I had the Dean present, so I really apologize. But the first workshop at the Marston Science Library where a director of Nature Coast Biological Station was present and his whole research team. And he actually, we help develop a data management plan for him and his staff which resulted in 1.1 million dollar funding, a grant proposal. And then also one of the attendees of the first works, we help with the data management plan which resulted in 486,000 dollars in a grant award. Number three, data management use case, a genomics data set. I use that in quite a few of the trainings and basically this was a use case working with a faculty member and molecular genetics and microbiology. And she contacted the library. She had these large data sets, supplemental data sets that could not be attached to the peer review article because it exceed the file size limit. So they range anywhere from 34 megabytes to 43 gigabytes. At the time, Zanotto had a limit per record of 2 gigabytes. Towards the end of a funded project, the eternal grant, Zanotto features have increased to 50 gigabytes per record. So at the end of this eternal strategic opportunity program grant for number three, we were able to load all of her data sets. She wanted a place, a data repository for data sets. She wanted a digital object identifier to link her data sets to peer review article and she wanted accessible for at least seven years. And she wanted to share this with her faculty's other researchers in her field so they can duplicate and use these supplemental files. Typically some researchers do not need to supplemental files beyond seven years, but even though Zanotto is guaranteed up to 20 years. Recently, I was awarded an eternal grant to hire a graduate intern and he's from the College of Education, Educational Technology Graduate student, Ryan Rushing. He has a background in IT and he's helping me develop data management learning experience modules. So one thing to learn from all the training workshops is that the faculty want data management plans or data management training specific to their discipline. So he's helping me develop different scenarios based on social science, humanities, physics and getting use cases from the scientists and researchers themselves and then mapping that to the key components of a data management plan. So it would be an online module using Articulate 360. And also I want to introduce basic concepts as far as what is open archive information system, definition of digital object identifier for UF, biomedical science that did a presentation for Dr. Sylvain Dore, he's an anesthesiologist and he had his lab, his staff lab about there. So I asked the question, do you know who the DOI is? And none of the staff people who worked with data knew what that was or or it could. So there's opportunity to interact with the library liaison and doing outreach and training to some of these specific labs. Here's a research to investigate researchers current data management practices across campus. This is very important. Who are the data owners and who are the data managers and what are some data management support and training needs. So here's the research design methodology. Basically, I'm averaging about six workshops and a director of the Informatics Institute met with him and he leaves once twice to a semester in his venue, Informatics Institute. So they provide the venue and also the food for their participants, which is very helpful. The Qualtrics survey is 26 questions. It was adapted from a previous data management survey prior to joining UF and also adapted from the data access framework, which is developed by Digital Creation Center, just in University of Glasgow. And so currently on phase three, so I want to analyze the quantitative. There was a question 26 which asked for who will be willing to contribute to building contributing to data management use cases and more in depth interviews. And we had 36 responses to that. So submitted an NSF CRE proposal National Science Foundation Computer Information Science and Engineering Research Initiative. Initiation initiative August the 8th, 474,000. I won't find out if it's accepted for about five months. And basically that is to hire a doctoral graduate student from the top three research disciplines at UF as far as according to the Office of Research annual report. And there will be a college listening Institute for the agricultural science and engineering. And so basically want to hire graduate students from each one of those disciplines and identify and get data from those disciplines and help to create data management modules specific to those community of practice, but also integrating data carpentry workshop teaches basic research computing skills. And here just a brief response about the data owners. Pretty much 96 PI for the survey. We had 156 stars 153 completes 159 stars 153 33 completes for 83% completion rate. So it was pretty good. So the top data owners are PI institutions, research collaborators and graduate students. As far as data management, Kia are the graduate students. And so there's need to address data management training specific to the graduate students who are managing data. And then also the PI is which range from associate assistant and directors are research facilities. What resources and support and training outside of specific departments. And the top was short term and long term data storage and capacities throughout the lot of workshop. A lot of them, the training workshops turns into like town hall meetings where scientists are coming together and comparing notes and also providing suggestions of their needs. One of the big data store short term and long term and then also the management of sensitive data. I found out from one individual attended from a research IT. You have some scientists who are not using research fault, which is a secure environment for managing sensitive data. And we want to do more a better job at information literacy reaching out to those research faculties to let them know that we have facilities and resources at UF for them to properly manage and back up their data as opposed to using external hard drives or usb and not having a standard practice of sensitive and open data as well. Number two is actually training a data management planning and ensuring. And so basically I do general and then also specific. And so moving forward this I've been at UF now for 21 months. So for moving forward the next year is to develop discipline specific use cases across campus. And so for question 26 asked would you please provide your name and email address be interested in building use cases. We had 30 actually 35 responses. And I had my graduate internship graduate intern identify the roles and departments of the faculty and staff who responded to this question. And a large majority come from the top three disciplines medicine engineering in I. And so I'm going to go ahead and share this. Future plans. Develop a data management already have that instructional intern for two semesters. As I mentioned develop a relevant and discipline specific data management use cases. And number three is very interesting. This is actually exceeded expectations. This will be the first annual data symposium at UF. It was inspired by Cal Tech's data symposium early this year. And also the University of Alberta Research Data Management Week. So we have representatives from IFIS engineering the keynote is the associate dean of engineering also have non. So we have open science center for open science who developed a open science framework participating or get and then also get up. It's interesting that get up. It's interesting for get up. Try to have a university wide license. You have quite a few private and public get up repositories that being used by UF faculty and students. And speaking with get up said it would be a wise to go for a university wide a university wide license for get up. The return on investment currently it would cost about 30,000 a year. And currently he's he wouldn't provide all the details to say that you have to spending more than that with limited get up repositories. Thank you. All of that is University of Minnesota has a university wide get up license. Quite a few scientists get up to store their software code and software code and software. But also there is no university wide or essential code of software repository. And having spoken with people from UF IT and research computing they're in support of the idea. Also, who's part of the program is DSI DSI stands for data science informatics is a student run student organized program where students are taught or they learn our Python and the latest research computer skills. This was very good the president extended invitation and there actually have them on the program as well. So the program extends from assistant associate, Dean's faculty member students external speakers and include Dr. Carl Benedict. He's the director research data service at the University of New Mexico. He has a 30 years experience. Then also the Hutchison from USGS, who's in charge of sees a branch chief of data and then also lead in a community for data integration. So the purpose of this symposium is to bring different faculty and students from across campus and to work and come together and share their best practices of how they manage that data and share data. But also having the students evolve as well. Then also the nonprofit. So hopefully it's successful. We would have to continue to have this in the future. Thank you.
 Good morning. My name is Plato Smith. I'm the data management librarian at the University of Florida.  And my colleague, Jean Bossert, she's not here, but she contributed presentation as far as doing visualization of some of the graphics.  Also, we're working together for a plus one article as a result of the data survey.  Launched a data survey between January 3rd and April 31st of 2017 and basically is IRB approved survey of the researchers at University of Florida to analyze or assess their data management needs and practices.  And so this presentation is just going to briefly touch on some of the questions from the survey, but also some additional support.  This is ground context, research purpose and table of contents.  Okay, pretty much of this background and context basically done multiple data management workshops.  The first two at Marston Science Library and also Informatics Institute were pretty much this general data management workshop.  Introducing faculties to data management plans and actually the key components of data management plan according to the Digital Creation Center checklist for data management plans.  Also the key lifecycle process using the USGS science data lifecycle.  As a result of these workshops, we were invited for guest speakers for University of Florida Division of Student Affairs and also Biomedical Science and Graduate Linguistic Society seminar.  For the first presentation, the training workshop at Informatics Institute.  I'm a little nervous. I'm sorry, Dean.  This is the first presentation where I had the Dean present, so I really apologize.  But the first workshop at the Marston Science Library where a director of Nature Coast Biological Station was present and his whole research team.  And he actually, we help develop a data management plan for him and his staff which resulted in 1.1 million dollar funding, a grant proposal.  And then also one of the attendees of the first works, we help with the data management plan which resulted in 486,000 dollars in a grant award.  Number three, data management use case, a genomics data set.  I use that in quite a few of the trainings and basically this was a use case working with a faculty member and molecular genetics and microbiology.  And she contacted the library. She had these large data sets, supplemental data sets that could not be attached to the peer review article because it exceed the file size limit.  So they range anywhere from 34 megabytes to 43 gigabytes.  At the time, Zanotto had a limit per record of 2 gigabytes.  Towards the end of a funded project, the eternal grant, Zanotto features have increased to 50 gigabytes per record.  So at the end of this eternal strategic opportunity program grant for number three, we were able to load all of her data sets.  She wanted a place, a data repository for data sets.  She wanted a digital object identifier to link her data sets to peer review article and she wanted accessible for at least seven years.  And she wanted to share this with her faculty's other researchers in her field so they can duplicate and use these supplemental files.  Typically some researchers do not need to supplemental files beyond seven years, but even though Zanotto is guaranteed up to 20 years.  Recently, I was awarded an eternal grant to hire a graduate intern and he's from the College of Education, Educational Technology Graduate student, Ryan Rushing.  He has a background in IT and he's helping me develop data management learning experience modules.  So one thing to learn from all the training workshops is that the faculty want data management plans or data management training specific to their discipline.  So he's helping me develop different scenarios based on social science, humanities, physics and getting use cases from the scientists and researchers themselves  and then mapping that to the key components of a data management plan.  So it would be an online module using Articulate 360.  And also I want to introduce basic concepts as far as what is open archive information system, definition of digital object identifier for UF,  biomedical science that did a presentation for Dr. Sylvain Dore, he's an anesthesiologist and he had his lab, his staff lab about there.  So I asked the question, do you know who the DOI is?  And none of the staff people who worked with data knew what that was or or it could.  So there's opportunity to interact with the library liaison and doing outreach and training to some of these specific labs.  Here's a research to investigate researchers current data management practices across campus.  This is very important.  Who are the data owners and who are the data managers and what are some data management support and training needs.  So here's the research design methodology.  Basically, I'm averaging about six workshops and a director of the Informatics Institute met with him and he leaves once twice to a semester in his venue, Informatics Institute.  So they provide the venue and also the food for their participants, which is very helpful.  The Qualtrics survey is 26 questions.  It was adapted from a previous data management survey prior to joining UF and also adapted from the data access framework, which is developed by Digital Creation Center, just in University of Glasgow.  And so currently on phase three, so I want to analyze the quantitative.  There was a question 26 which asked for who will be willing to contribute to building contributing to data management use cases and more in depth interviews.  And we had 36 responses to that.  So submitted an NSF CRE proposal National Science Foundation Computer Information Science and Engineering Research Initiative.  Initiation initiative August the 8th, 474,000.  I won't find out if it's accepted for about five months.  And basically that is to hire a doctoral graduate student from the top three research disciplines at UF as far as according to the Office of Research annual report.  And there will be a college listening Institute for the agricultural science and engineering.  And so basically want to hire graduate students from each one of those disciplines and identify and get data from those disciplines and help to create data management modules specific to those community of practice, but also integrating data carpentry workshop teaches basic research computing skills.  And here just a brief response about the data owners. Pretty much 96 PI for the survey. We had 156 stars 153 completes 159 stars 153 33 completes for 83% completion rate.  So it was pretty good. So the top data owners are PI institutions, research collaborators and graduate students.  As far as data management, Kia are the graduate students. And so there's need to address data management training specific to the graduate students who are managing data.  And then also the PI is which range from associate assistant and directors are research facilities.  What resources and support and training outside of specific departments.  And the top was short term and long term data storage and capacities throughout the lot of workshop. A lot of them, the training workshops turns into like town hall meetings where scientists are coming together and comparing notes and also providing suggestions of their needs.  One of the big data store short term and long term and then also the management of sensitive data. I found out from one individual attended from a research IT.  You have some scientists who are not using research fault, which is a secure environment for managing sensitive data.  And we want to do more a better job at information literacy reaching out to those research faculties to let them know that we have facilities and resources at UF for them to properly manage and back up their data as opposed to using external hard drives or usb and not having a standard practice of sensitive and open data as well.  Number two is actually training a data management planning and ensuring. And so basically I do general and then also specific.  And so moving forward this I've been at UF now for 21 months. So for moving forward the next year is to develop discipline specific use cases across campus.  And so for question 26 asked would you please provide your name and email address be interested in building use cases. We had 30 actually 35 responses.  And I had my graduate internship graduate intern identify the roles and departments of the faculty and staff who responded to this question. And a large majority come from the top three disciplines medicine engineering in I.  And so I'm going to go ahead and share this. Future plans. Develop a data management already have that instructional intern for two semesters.  As I mentioned develop a relevant and discipline specific data management use cases. And number three is very interesting. This is actually exceeded expectations.  This will be the first annual data symposium at UF. It was inspired by Cal Tech's data symposium early this year. And also the University of Alberta Research Data Management Week.  So we have representatives from IFIS engineering the keynote is the associate dean of engineering also have non.  So we have open science center for open science who developed a open science framework participating or get and then also get up.  It's interesting that get up.  It's interesting for get up. Try to have a university wide license. You have quite a few private and public get up repositories that being used by UF faculty and students.  And speaking with get up said it would be a wise to go for a university wide a university wide license for get up. The return on investment currently it would cost about 30,000 a year.  And currently he's he wouldn't provide all the details to say that you have to spending more than that with limited get up repositories. Thank you.  All of that is University of Minnesota has a university wide get up license. Quite a few scientists get up to store their software code and software code and software.  But also there is no university wide or essential code of software repository. And having spoken with people from UF IT and research computing they're in support of the idea.  Also, who's part of the program is DSI DSI stands for data science informatics is a student run student organized program where students are taught or they learn our Python and the latest research computer skills.  This was very good the president extended invitation and there actually have them on the program as well. So the program extends from assistant associate, Dean's faculty member students external speakers and include Dr.  Carl Benedict. He's the director research data service at the University of New Mexico. He has a 30 years experience. Then also the Hutchison from USGS, who's in charge of sees a branch chief of data and then also lead in a community for data integration.  So the purpose of this symposium is to bring different faculty and students from across campus and to work and come together and share their best practices of how they manage that data and share data.  But also having the students evolve as well. Then also the nonprofit. So hopefully it's successful. We would have to continue to have this in the future. Thank you.
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Good morning. My name is Plato Smith. I'm the data management librarian at the University of Florida. And my colleague, Jean Bossert, she's not here, but she contributed presentation as far as doing visualization of some of the graphics. Also, we're working together for a plus one article as a result of the data survey. Launched a data survey between January 3rd and April 31st of 2017 and basically is IRB approved survey of the researchers at University of Florida to analyze or assess their data management needs and practices. And so this presentation is just going to briefly touch on some of the questions from the survey, but also some additional support. This is ground context, research purpose and table of contents. Okay, pretty much of this background and context basically done multiple data management workshops. The first two at Marston Science Library and also Informatics Institute were pretty much this general data management workshop. Introducing faculties to data management plans and actually the key components of data management plan according to the Digital Creation Center checklist for data management plans. Also the key lifecycle process using the USGS science data lifecycle. As a result of these workshops, we were invited for guest speakers for University of Florida Division of Student Affairs and also Biomedical Science and Graduate Linguistic Society seminar. For the first presentation, the training workshop at Informatics Institute. I'm a little nervous. I'm sorry, Dean. This is the first presentation where I had the Dean present, so I really apologize. But the first workshop at the Marston Science Library where a director of Nature Coast Biological Station was present and his whole research team. And he actually, we help develop a data management plan for him and his staff which resulted in 1.1 million dollar funding, a grant proposal. And then also one of the attendees of the first works, we help with the data management plan which resulted in 486,000 dollars in a grant award. Number three, data management use case, a genomics data set. I use that in quite a few of the trainings and basically this was a use case working with a faculty member and molecular genetics and microbiology. And she contacted the library. She had these large data sets, supplemental data sets that could not be attached to the peer review article because it exceed the file size limit. So they range anywhere from 34 megabytes to 43 gigabytes. At the time, Zanotto had a limit per record of 2 gigabytes. Towards the end of a funded project, the eternal grant, Zanotto features have increased to 50 gigabytes per record. So at the end of this eternal strategic opportunity program grant for number three, we were able to load all of her data sets. She wanted a place, a data repository for data sets. She wanted a digital object identifier to link her data sets to peer review article and she wanted accessible for at least seven years. And she wanted to share this with her faculty's other researchers in her field so they can duplicate and use these supplemental files. Typically some researchers do not need to supplemental files beyond seven years, but even though Zanotto is guaranteed up to 20 years. Recently, I was awarded an eternal grant to hire a graduate intern and he's from the College of Education, Educational Technology Graduate student, Ryan Rushing. He has a background in IT and he's helping me develop data management learning experience modules. So one thing to learn from all the training workshops is that the faculty want data management plans or data management training specific to their discipline. So he's helping me develop different scenarios based on social science, humanities, physics and getting use cases from the scientists and researchers themselves and then mapping that to the key components of a data management plan. So it would be an online module using Articulate 360. And also I want to introduce basic concepts as far as what is open archive information system, definition of digital object identifier for UF, biomedical science that did a presentation for Dr. Sylvain Dore, he's an anesthesiologist and he had his lab, his staff lab about there. So I asked the question, do you know who the DOI is? And none of the staff people who worked with data knew what that was or or it could. So there's opportunity to interact with the library liaison and doing outreach and training to some of these specific labs. Here's a research to investigate researchers current data management practices across campus. This is very important. Who are the data owners and who are the data managers and what are some data management support and training needs. So here's the research design methodology. Basically, I'm averaging about six workshops and a director of the Informatics Institute met with him and he leaves once twice to a semester in his venue, Informatics Institute. So they provide the venue and also the food for their participants, which is very helpful. The Qualtrics survey is 26 questions. It was adapted from a previous data management survey prior to joining UF and also adapted from the data access framework, which is developed by Digital Creation Center, just in University of Glasgow. And so currently on phase three, so I want to analyze the quantitative. There was a question 26 which asked for who will be willing to contribute to building contributing to data management use cases and more in depth interviews. And we had 36 responses to that. So submitted an NSF CRE proposal National Science Foundation Computer Information Science and Engineering Research Initiative. Initiation initiative August the 8th, 474,000. I won't find out if it's accepted for about five months. And basically that is to hire a doctoral graduate student from the top three research disciplines at UF as far as according to the Office of Research annual report. And there will be a college listening Institute for the agricultural science and engineering. And so basically want to hire graduate students from each one of those disciplines and identify and get data from those disciplines and help to create data management modules specific to those community of practice, but also integrating data carpentry workshop teaches basic research computing skills. And here just a brief response about the data owners. Pretty much 96 PI for the survey. We had 156 stars 153 completes 159 stars 153 33 completes for 83% completion rate. So it was pretty good. So the top data owners are PI institutions, research collaborators and graduate students. As far as data management, Kia are the graduate students. And so there's need to address data management training specific to the graduate students who are managing data. And then also the PI is which range from associate assistant and directors are research facilities. What resources and support and training outside of specific departments. And the top was short term and long term data storage and capacities throughout the lot of workshop. A lot of them, the training workshops turns into like town hall meetings where scientists are coming together and comparing notes and also providing suggestions of their needs. One of the big data store short term and long term and then also the management of sensitive data. I found out from one individual attended from a research IT. You have some scientists who are not using research fault, which is a secure environment for managing sensitive data. And we want to do more a better job at information literacy reaching out to those research faculties to let them know that we have facilities and resources at UF for them to properly manage and back up their data as opposed to using external hard drives or usb and not having a standard practice of sensitive and open data as well. Number two is actually training a data management planning and ensuring. And so basically I do general and then also specific. And so moving forward this I've been at UF now for 21 months. So for moving forward the next year is to develop discipline specific use cases across campus. And so for question 26 asked would you please provide your name and email address be interested in building use cases. We had 30 actually 35 responses. And I had my graduate internship graduate intern identify the roles and departments of the faculty and staff who responded to this question. And a large majority come from the top three disciplines medicine engineering in I. And so I'm going to go ahead and share this. Future plans. Develop a data management already have that instructional intern for two semesters. As I mentioned develop a relevant and discipline specific data management use cases. And number three is very interesting. This is actually exceeded expectations. This will be the first annual data symposium at UF. It was inspired by Cal Tech's data symposium early this year. And also the University of Alberta Research Data Management Week. So we have representatives from IFIS engineering the keynote is the associate dean of engineering also have non. So we have open science center for open science who developed a open science framework participating or get and then also get up. It's interesting that get up. It's interesting for get up. Try to have a university wide license. You have quite a few private and public get up repositories that being used by UF faculty and students. And speaking with get up said it would be a wise to go for a university wide a university wide license for get up. The return on investment currently it would cost about 30,000 a year. And currently he's he wouldn't provide all the details to say that you have to spending more than that with limited get up repositories. Thank you. All of that is University of Minnesota has a university wide get up license. Quite a few scientists get up to store their software code and software code and software. But also there is no university wide or essential code of software repository. And having spoken with people from UF IT and research computing they're in support of the idea. Also, who's part of the program is DSI DSI stands for data science informatics is a student run student organized program where students are taught or they learn our Python and the latest research computer skills. This was very good the president extended invitation and there actually have them on the program as well. So the program extends from assistant associate, Dean's faculty member students external speakers and include Dr. Carl Benedict. He's the director research data service at the University of New Mexico. He has a 30 years experience. Then also the Hutchison from USGS, who's in charge of sees a branch chief of data and then also lead in a community for data integration. So the purpose of this symposium is to bring different faculty and students from across campus and to work and come together and share their best practices of how they manage that data and share data. But also having the students evolve as well. Then also the nonprofit. So hopefully it's successful. We would have to continue to have this in the future. Thank you.
article as a result of the data survey. Launched a data survey between January 3rd and April 31st of 2017 and basically is IRB approved survey of the researchers at University of Florida to using the USGS science data lifecycle. As a first presentation, the training workshop at themselves and then mapping that to the key components of a data management plan. So it would And none of the staff people who worked with data across campus. This is very important. Who are helpful. The Qualtrics survey is 26 questions. It Glasgow. And so currently on phase three, so I submitted an NSF CRE proposal National Science Foundation Computer Information Science and Engineering Research Initiative. Initiation student from the top three research disciplines Research annual report. And there will be a modules specific to those community of practice, students. And so there's need to address data students who are managing data. And then also the and support and training outside of specific lot of workshop. A lot of them, the training facilities and resources at UF for them to year is to develop discipline specific use cases departments of the faculty and staff who Data Management Week. So we have representatives IT and research computing they're in support of community for data integration. So the purpose of together and share their best practices of how Thank you.