1. Purdue University The PURR campus data repository service: institutional effort looking towards international engagement
Michael Witt, associate professor
Distributed data curation center
EDUCAUSE 2017 : Philadelphia : November 1, 2017

2. Campus stakeholders - Purdue
Researchers – 1,963 faculty + 9,626 grad students
Research Office
Sponsored Programs Office - $400,000,000/yr
Pre-award
Post-award
Information Technology - Research Computing
Graduate School
Libraries*

3. Curation lifecycle approach
Witt, M. (2012). Co-designing, Co-developing, and Co-implementing an Institutional Data Repository Service. Journal of Library Administration, 52(2). DOI: /
Digital Curation Centre’s Curation Lifecycle Model:

4. purr postcard and poster
2,542 grant proposals 3

6. Writing a data management plan
Boilerplate text
Funder requirements
Example DMPs
DMP Self-Assessment
DMPTool
Workshops
Tutorials
Reference and consultation with subject-specialist librarian and/or data services specialist
PURR Getting Started: Data Management Plans:

7. Dimensions of Discovery (Winter 2013)
Dimensions of Discovery (Winter 2013). Office of the Vice President for Research, Purdue University,

8. Collaborating using online projects
PURR project tutorial video:

9. Allocating storage PURR Storage and Pricing:

10. Publishing and archiving data
PURR publication tutorial video:

11. PURR by-the-numbers 2,524 data management plans (grant proposals)
385 grant awards
2,737 registered researchers
1064 research projects
698 published datasets
357 data citations
Purdue University Research Repository, September 2017.

12. Governance and staffing
Designated university core research facility
Executive committee – Dean of Libraries, Associate Vice President for Research, CIO – meets annually
Steering committee – two each from Libraries, IT, and research office plus 3-4 faculty – meets quarterly
PURR team – Project director (.5 FTE), Data Curator, Outreach Specialist, Metadata Specialist (.20), Archivist (.25), and ~3 FTE technologists

13. Looking beyond institutional to international
Participating in development of standards
Using standards, interoperating & connecting infrastructures
Determining and sharing good practices throughout the lifecycle
Policy & keeping the ‘open’ in open science
Demonstrating impact

14. Discussion
What are one or two practical things that institutions can do to support research data management at an institutional level that would also contribute to or feed into international efforts?
What are the barriers in promoting and keeping the 'open' in open data?