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Research Data Management @ USU
Betty Rozum, Data Librarian
Andrea Payant, Metadata Librarian
USU’s Research Data History
 We started in 2013, but really got going in 2015
 2013 – Campus wide committee
 2015 - Created Data Librarian position
 2015 – Set priority as compliance with 2013 OSTP Memo
 Fall 2015- Fall 2016 – Developed compliance program
 Fall 2016 – Launched Compliance Program
 Dec. 2016 – Survey of USU Faculty re: Data Needs
 2017 – Launched RDMS@USU website
 Fall 2019 – Assessment of of Compliance Program
What we do
 Standard Resources and Services
 Website: Research Data Management @ USU
 Consultations
 Data Management Plans
 Archiving Data
 Data agreements, data storage, cleaning, misc.
 Instruction
 Classes, Labs, Faculty
What we do
 Not so standard
 Annually communication with every researcher with an award with
data sharing requirements
 Document when and where they deposit data and publications
 Offer assistance
 Create a culture at USU that both states compliance is
expected and informs researchers of resources available to
assist them in the process
 Data Club
 A few times a semester, researchers who are avid about data are
invited to an informal lunch where we talk about data. Sometimes
I invite the CIO or VPR.
 Helps me learn what is happening and what is important on
campus

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My Top Three: Elevator Speech
 Back it up
 Describe it
 Be able to find it
Back it up
 Back up your data: Rule of 3
 Three Copies of your files on
Two Different Locations with
One - More than One Storage Media
Back it up…you don’t want…
 Data Horror Stories and more Data Horror Stories
 Use these as examples to show your students and faculty what can
happen when data is lost
 Reward for stolen Royal Oak wreck data laptop – oh, backed
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Two: Describe your Data
 Describe your data (Andrea!!)
 From collection to deposit
 How were the data collected?
 What would another researcher need to know about your data in
order to use it again?
 Limitations of the data
 Data cleaning process(es)
 Scripts used (even the little bits)
 Do you have a README for your data?
 Does the Repository you use require specific metadata
schema?

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Research Data Management at USU

  • 1. Research Data Management @ USU Betty Rozum, Data Librarian Andrea Payant, Metadata Librarian
  • 2. USU’s Research Data History  We started in 2013, but really got going in 2015  2013 – Campus wide committee  2015 - Created Data Librarian position  2015 – Set priority as compliance with 2013 OSTP Memo  Fall 2015- Fall 2016 – Developed compliance program  Fall 2016 – Launched Compliance Program  Dec. 2016 – Survey of USU Faculty re: Data Needs  2017 – Launched RDMS@USU website  Fall 2019 – Assessment of of Compliance Program
  • 3. What we do  Standard Resources and Services  Website: Research Data Management @ USU  Consultations  Data Management Plans  Archiving Data  Data agreements, data storage, cleaning, misc.  Instruction  Classes, Labs, Faculty
  • 4. What we do  Not so standard  Annually communication with every researcher with an award with data sharing requirements  Document when and where they deposit data and publications  Offer assistance  Create a culture at USU that both states compliance is expected and informs researchers of resources available to assist them in the process  Data Club  A few times a semester, researchers who are avid about data are invited to an informal lunch where we talk about data. Sometimes I invite the CIO or VPR.  Helps me learn what is happening and what is important on campus
  • 5. My Top Three: Elevator Speech  Back it up  Describe it  Be able to find it
  • 6. Back it up  Back up your data: Rule of 3  Three Copies of your files on Two Different Locations with One - More than One Storage Media
  • 7. Back it up…you don’t want…  Data Horror Stories and more Data Horror Stories  Use these as examples to show your students and faculty what can happen when data is lost  Reward for stolen Royal Oak wreck data laptop – oh, backed up to another site would have been handy
  • 8. Two: Describe your Data  Describe your data (Andrea!!)  From collection to deposit  How were the data collected?  What would another researcher need to know about your data in order to use it again?  Limitations of the data  Data cleaning process(es)  Scripts used (even the little bits)  Do you have a README for your data?  Does the Repository you use require specific metadata schema?
  • 9. Three: Organize your Data  Organize your data – file names, directory structure  It’s for your benefit, not mine…
  • 11. If you want to learn more: Favorite Readings & Resources  Here’s a list of some of my favorite resources.