As outlined by the Research Data Services Task Force Report and directed by UL Virginia Steel, implement a cross-library Research Data Program (RDP) led by the Data Science Center with responsibilities for creating a coherent, documented, and integrated program supporting open data science and the full data life-cycle. Composed of data specialists in major areas, such as life & physical sciences, humanities, and social sciences, this program forges partnerships among Library and campus research support units to provide a more coordinated approach to consulting, training, and computing. This program needs to be unified and shares communications, ticketing, and meets regularly for operational and educational needs.
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- Regular meetings (2x a month)
- Shared communication and ticketing system (Slack Channel, Jira Service Desk, GDocs Google Shared Drive or Confluence Site)
- Educational and operational - group must execute on consulting & education, but also continue to learn and grow as a team
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Guiding questions for how the program should be measured:
- Is there a Research Data Services programProgram?
- Does it have members from life & physical sciences, humanities, and social sciences?
- Are the members of this program assigned to the program at a significant portion of their job?
- Does it meet regularly for both strategic, operational, & education needs?
- Does this group share responsibility for the program’s articulated services?
- Is there a shared repository of all requests and their ultimate disposition?
- Are there metrics in the way requests are managed? E.g. articulated service benchmarks, service time window.
- If so, what is rate of response?
- Are there metrics for quality of service (survey of user satisfaction with resolutions)?
- And is this customer customer feedback systematized (automated)?
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