Making Student Research Data Discoverable: A Pilot Program Using Dataverse

• Type of Material: Article
• Authors: Jennifer Doty, Emory University; Melanie Kowalski, Emory University; Bethany Nash, Emory University; Simon O'Riordan, Emory University
• Language: English
• Date: 2015
• Publisher: Pacific University (Oregon)
• Publication Version: Final Published Version
• Copyright Statement: © 2015 Doty et al.
• License: Creative Commons Attribution 4.0 International
• Final Published Version (URL): http://dx.doi.org/10.7710/2162-3309.1234
• Title of Journal or Parent Work: Journal of Librarianship and Scholarly Communication
• ISSN: 2162-3309
• Volume: 3
• Issue: 2
• Start Page: 1
• End Page: 25
• Keywords: Dataverse; Data management
• Research Categories: Library Science

Abstract

INTRODUCTION The support and curation of research data underlying theses and dissertations are an opportunity for institutions to enhance their ETD collections. This article describes a pilot data archiving service that leverages Emory University’s existing Electronic Theses and Dissertations (ETDs) program. DESCRIPTION OF PROGRAM This pilot service tested the appropriateness of Dataverse, a data repository, as a data archiving and access solution for Emory University using research data identified in Emory University’s ETD repository, developed the legal documents necessary for a full implementation of Dataverse on campus, and expanded outreach efforts to meet the research data needs of graduate students. This article also situates the pilot service within the context of Emory Libraries and explains how it relates to other library efforts currently underway. NEXT STEPS The pilot project team plans to seek permission from alumni whose data were included in the pilot to make them available publicly in Dataverse, and the team will revise the ETD license agreement to allow this type of use. The team will also automate the ingest of supplemental ETD research data into the data repository where possible and create a workshop series for students who are creating research data as part of their theses or dissertations.