Objective: This paper describes three different institutional experiences in developing research data management programs and services, challenges/opportunities and lessons learned.
Overview: This paper is based on the Librarian Panel Discussion during the 4th Annual University of Massachusetts and New England Region e-Science Symposium. Librarians representing large public and private research universities presented an overview of service models developed at their respective organizations to bring support for data management and eScience to their communities. The approaches described include two library-based, integrated service models and one collaboratively-staffed, center-based service model.
Results: Three institutions describe their experiences in creating the organizational capacity for research data management support services. Although each institutional approach is unique, common challenges include garnering administrative support, managing the integration of services with new or existing staff structures, and continuing to meet researchers needs as they evolve.
Conclusions: There is no one way to provide research data management services, but any staff position, committee, or formalized center reflects an overarching organizational commitment to data management support.
- data management,
- data management services,
- data management programs,
- digital management,
- service models,
- organizational management,
- institutional management,
- data curation
Available at: http://works.bepress.com/regina_raboin/1/