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RDAP 16: How do we know where to grow? Assessing Research Data Services at the University of Michigan (Panel 4, Measuring Up)

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Research Data Access and Preservation Summit, 2016
Atlanta, GA
May 4-7, 2016

Part of Panel 4, "Measuring Up: How Are We Defining Success for Research Data Services?"

Presenter:
Jake Carlson, University of Michigan

Published in: Education
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RDAP 16: How do we know where to grow? Assessing Research Data Services at the University of Michigan (Panel 4, Measuring Up)

  1. 1. How do we know where to grow? Assessing Research Data Services at the University of Michigan Jake Carlson Research Data Services Manager University of Michigan May 5, 2016
  2. 2. RDS @ UMich UM is developing a library-wide RDS program to help with: • Data Management Planning • Discovery & Access • Data Organization & Management • Metadata & Documentation • Data Sharing & Publication • Preservation Image: Block M at the #Umich Golf Course https://s-media-cache- ak0.pinimg.com/236x/d2/56/99/d2569919c0 aea84cdcd6272c04960bdd.jpg
  3. 3. RDS Framework
  4. 4. Assessment is Multi-faceted Needs Assessment • Defining services • Determining readiness • Delivering services Service Assessment • The librarians • The service framework • The impact of the service on stakeholders
  5. 5. Needs Assessment Informing Research Data Services • Nature of researcher data • Current practices in managing, sharing and preserving data • Unmet needs Formed the Data Use Case Task Force (DUCTF)
  6. 6. DUCTF • Comprised of Liaisons • 36 interviews across disciplines at UM • Identify areas of need and themes • Inform the data repository and RDS generally. Image: Duck 1: https://www.flickr.com/photos/46233167@N05/
  7. 7. DUCTF Data
  8. 8. DUCTF Report
  9. 9. DUCTF 2 • Comprised mostly of specialists • Solicited 6 data sets with different characteristics • Representing user needs in data repository to inform its developmentImage: Duck 2 https://upload.wikimedia.org/wikipedia/commons/6/6d/Rubber_Duck_Florentijn_Hofman_Hong_Kong_2013d.jpg
  10. 10. Deep Blue Data
  11. 11. DUCTF 3 • Comprised of liaisons and specialists • Facilitate data interviews and information gathering to inform Deep Blue Data & RDS • Analyze and deliver information to stakeholders in ways that support RDS Image, Duck 3: https://www.flickr.com/photos/dyhchan_260/12670898343/sizes/l
  12. 12. Service Assessment Liaisons • Document their work • Conduct data interviews • Identify areas of need Specialists • Document their work • Keep liaisons and RDS informed of advances • Look for opportunities to share expertise
  13. 13. Meeting Documentation
  14. 14. Service Assessment RDS • Track the number, nature and type of service interactions • Identify any gaps in our understanding of needs and services and work to fill them • Work with DUCTF to identify, collect and analyze assessment data • Use evidence of need to grow the services
  15. 15. Sharing Assessment Results Success Stories ● What was done ● Who was involved ● What impact did it have Image: Fairfax library “Storytelling” https://www.flickr.com/photos/fcpl/2275170 913/sizes/l
  16. 16. Thank You! Jake Carlson Research Data Services Manager University of Michigan

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