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Research Data Management
  Library and Campus Collaboration to
           Support E-Research


               Sandra De Groote, MLIS
                 Abigail Goben, MLS
               Robert J. Sandusky, PhD

      on behalf of the UIC Library E-Science Committee
E-Research By Definition

                                                                              Collaboration


                                                                                  Cyber-
                                                                              infrastructure


Photo by Simon Cockell (http://www.flickr.com/photos/sjcockell/3251147920/)
Then Came the Mandates…
Assessment on Campus
• Survey – 2009
• Interviews – 2011
  – Part of ARL/DLF E-Science Institute
Survey Results:
       Data Sharing & Storage
26% responded that they were required to share
 data
2/3 kept their data long term (5+ years) but generally
 used unreliable approaches and proprietary formats
 that fall short of preservation
Indicated need for assistance in maintaining security
 and access to data as electronic formats changes over
 time as well as a need for information on storage
 methods and preservation
Many indicated need for great data storage capacity
 including secure data repositories to facilitate data
 access, sharing, and discovery
See Poster for more
ARL / DLF E-Science Institute
•   Environmental scan
•   Stakeholder interviews
•   SWOT analysis
•   Draft e-research strategic agenda
•   Capstone event (January 2012)
•   Final e-research strategic agenda for UIC
Findings from Interviews
• Health sciences researchers creating new data
  and also re-using data
• Old data is available for repurposing but not
  accessible
• Datasets don't have a place to be stored or
  shared locally (for some)
• One group has a focus on building a clinical
  research data warehouse
• Some researchers are interested in using others’
  data but reluctant to share own
More Findings from Interviews
• Many researchers have data management
  needs but do not have the time to undertake
  or learn about data curation or developing
  data management plans
• There is no central place to find faculty
  research or to determine faculty members'
  research interests across the entire campus
• Partial faculty profile system
More Findings from Interviews
• Central high performance computing cluster
• Excellent bandwidth between UIC and
  Internet
• Committing $ to improving research
  infrastructure
• New IT governance (ITGC) structure may allow
  broader consideration of collaboration and
  improving communications
  – 4 subgroups – 2 focused on research and
    infrastructure
RDM Best Practices and Library Goals
• Relationships
  – ACCC, OVCR, colleges
• Tools
  – Research and Subject Guides
     • Data Management Plans
  – DMPTool
• Pilots
  – Engage 2 or 3 units in service development
RDM Best Practices and Library Goals
• Services
  – Data management planning
  – Metadata consulting
  – Matching research to data repositories
  – Campus standard identifier service
  – Semantic Web
  – Search and discovery for data
RDM Best Practices and Library Goals
• Education and outreach
  – Workshops and classes
     • Formats
        – Face-to-face
        – Online
        – Recorded
     • Various duration
        – 1 hour
        – Half day / full day
        – Semester long
     • Standalone or embedded in courses
RDM Best Practices and Library Goals
• Education and outreach
  – Campus programming
     • E-Research colloquium
     • Lecture series
  – Embedded librarians
  – Increase internal library expertise and capacity
RDM Best Practices and Library Goals
• Infrastructure and organization
  – UIC Research Data Repository
  – Policy development
     •   Stewardship / curation
     •   Ownership
     •   Access control / data security
     •   Selection
     •   Retention
     •   Researcher practices
  – Metrics / assessment
RDM Best Practices and Library Goals
• Infrastructure and organization
  – Faculty / researcher profile system
  – Scholarly Commons
  – Organizational structures
RDM Best Practices and Library Goals
• Infrastructure and organization
  – Sustainability
     •   Funding
     •   Policy
     •   Governance
     •   Partnership
RDM Best Practices and Library Goals
• Benefits to UIC researchers
   – Reduce collaboration friction
   – Reduce research management overhead
   – Services for all
• Benefits to UIC
   –   Cost efficient
   –   Proposal competitiveness
   –   Faculty recruitment and retention
   –   Compliance
   –   Knowledgeable faculty and students
RDM Best Practices and Library Goals
• Benefits: Broader Impacts
  – Open access to research outputs
     • Reuse  innovation, new knowledge
     • Preserve digital heritage
     • Access to publicly funded research
  – Reputation
Key Partners
Research Data Management Triangle
      Fa
                    IT
                                      y
       cu

                                   ult
          lty

                             F   ac



                E-Research
                 Support


LIBRARY                              OVCR
                  Faculty
Contact Us


• sgroote@uic.edu
• sandusky@uic.edu
• agoben@uic.edu

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It proforum template final

  • 1. Research Data Management Library and Campus Collaboration to Support E-Research Sandra De Groote, MLIS Abigail Goben, MLS Robert J. Sandusky, PhD on behalf of the UIC Library E-Science Committee
  • 2. E-Research By Definition Collaboration Cyber- infrastructure Photo by Simon Cockell (http://www.flickr.com/photos/sjcockell/3251147920/)
  • 3. Then Came the Mandates…
  • 4. Assessment on Campus • Survey – 2009 • Interviews – 2011 – Part of ARL/DLF E-Science Institute
  • 5. Survey Results: Data Sharing & Storage 26% responded that they were required to share data 2/3 kept their data long term (5+ years) but generally used unreliable approaches and proprietary formats that fall short of preservation Indicated need for assistance in maintaining security and access to data as electronic formats changes over time as well as a need for information on storage methods and preservation Many indicated need for great data storage capacity including secure data repositories to facilitate data access, sharing, and discovery See Poster for more
  • 6. ARL / DLF E-Science Institute • Environmental scan • Stakeholder interviews • SWOT analysis • Draft e-research strategic agenda • Capstone event (January 2012) • Final e-research strategic agenda for UIC
  • 7. Findings from Interviews • Health sciences researchers creating new data and also re-using data • Old data is available for repurposing but not accessible • Datasets don't have a place to be stored or shared locally (for some) • One group has a focus on building a clinical research data warehouse • Some researchers are interested in using others’ data but reluctant to share own
  • 8. More Findings from Interviews • Many researchers have data management needs but do not have the time to undertake or learn about data curation or developing data management plans • There is no central place to find faculty research or to determine faculty members' research interests across the entire campus • Partial faculty profile system
  • 9. More Findings from Interviews • Central high performance computing cluster • Excellent bandwidth between UIC and Internet • Committing $ to improving research infrastructure • New IT governance (ITGC) structure may allow broader consideration of collaboration and improving communications – 4 subgroups – 2 focused on research and infrastructure
  • 10. RDM Best Practices and Library Goals • Relationships – ACCC, OVCR, colleges • Tools – Research and Subject Guides • Data Management Plans – DMPTool • Pilots – Engage 2 or 3 units in service development
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  • 14. RDM Best Practices and Library Goals • Services – Data management planning – Metadata consulting – Matching research to data repositories – Campus standard identifier service – Semantic Web – Search and discovery for data
  • 15. RDM Best Practices and Library Goals • Education and outreach – Workshops and classes • Formats – Face-to-face – Online – Recorded • Various duration – 1 hour – Half day / full day – Semester long • Standalone or embedded in courses
  • 16. RDM Best Practices and Library Goals • Education and outreach – Campus programming • E-Research colloquium • Lecture series – Embedded librarians – Increase internal library expertise and capacity
  • 17. RDM Best Practices and Library Goals • Infrastructure and organization – UIC Research Data Repository – Policy development • Stewardship / curation • Ownership • Access control / data security • Selection • Retention • Researcher practices – Metrics / assessment
  • 18. RDM Best Practices and Library Goals • Infrastructure and organization – Faculty / researcher profile system – Scholarly Commons – Organizational structures
  • 19. RDM Best Practices and Library Goals • Infrastructure and organization – Sustainability • Funding • Policy • Governance • Partnership
  • 20. RDM Best Practices and Library Goals • Benefits to UIC researchers – Reduce collaboration friction – Reduce research management overhead – Services for all • Benefits to UIC – Cost efficient – Proposal competitiveness – Faculty recruitment and retention – Compliance – Knowledgeable faculty and students
  • 21. RDM Best Practices and Library Goals • Benefits: Broader Impacts – Open access to research outputs • Reuse  innovation, new knowledge • Preserve digital heritage • Access to publicly funded research – Reputation
  • 23. Research Data Management Triangle Fa IT y cu ult lty F ac E-Research Support LIBRARY OVCR Faculty
  • 24. Contact Us • sgroote@uic.edu • sandusky@uic.edu • agoben@uic.edu

Notas del editor

  1. 706 researchers responded to the survey. Of the respondents 48.8% were not aware of e-science. Of those aware, only 3.2% were actively practicing e-research.
  2. Talked to both administrators and researchers
  3. Some units have resources Some researchers have options for data encryption and protection through RedCap server/ infrastructure - file server, shared computing, VPN - limited to those working with in some units (not a campus wide resource) regulations were so burdensome to use the data for a secondary purpose, it became untenable. interest from getting GIS information, so you can look at neighborhoods, via zip codes, would like to share with other health care institutions (geocoding, mashups); (sharing on research side is more likely than sharing on the care side).