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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
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
RDS Framework
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
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)
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/
DUCTF Data
DUCTF Report
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
Deep Blue Data
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
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
Meeting Documentation
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
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
Thank You!
Jake Carlson
Research Data Services Manager
University of Michigan

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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. 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. 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
  • 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. 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. 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/
  • 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
  • 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. 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
  • 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. 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. Thank You! Jake Carlson Research Data Services Manager University of Michigan