eScience in Action

Data Curation Network: How Do We Compare? A Snapshot of Six Academic Library Institutions’ Data Repository and Curation Services

Authors
  • Lisa R. Johnston (University of Minnesota - Twin Cities)
  • Jake R. Carlson (University of Michigan - Ann Arbor)
  • Patricia Hswe (Andrew W. Mellon Foundation)
  • Cynthia Hudson-Vitale (Washington University in St Louis)
  • Heidi Imker (University of Illinois at Urbana-Champaign)
  • Wendy Kozlowski (Cornell University)
  • Robert K Olendorf (Penn State University)
  • Claire Stewart (University of Minnesota - Twin Cities)

Abstract

Objective: Many academic and research institutions are exploring opportunities to better support researchers in sharing their data. As partners in the Data Curation Network project, our six institutions developed a comparison of the current levels of support provided for researchers to meet their data sharing goals through library-based data repository and curation services.

Methods: Each institutional lead provided a written summary of their services based on a previously developed structure, followed by group discussion and refinement of descriptions. Service areas assessed include the repository services for data, technologies used, policies, and staffing in place.

Conclusions: Through this process we aim to better define the current levels of support offered by our institutions as a first step toward meeting our project's overarching goal to develop a shared staffing model for data curation across multiple institutions.

Keywords: digital repositories, research data management (RDM) services, institutional repositories, academic libraries, scholarly communications, data curation

How to Cite:

Johnston, L. R., Carlson, J. R., Hswe, P., Hudson-Vitale, C., Imker, H., Kozlowski, W., Olendorf, R. K. & Stewart, C., (2017) “Data Curation Network: How Do We Compare? A Snapshot of Six Academic Library Institutions’ Data Repository and Curation Services”, Journal of eScience Librarianship 6(1): 3. doi: https://doi.org/10.7191/jeslib.2017.1102

Rights: Copyright © 2017 Johnston et al.

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