Research Papers
Data at Risk Initiative: Examining and Facilitating the Scientific Process in Relation to Endangered Data
Author:
Angela P Murillo
School of Information and Library Science, University of North Carolina at Chapel Hill, 216 Lenoir Drive • CB
#3360 • 100 Manning Hall, Chapel Hill, NC 27599-3360
Abstract
Examining the scientific process in relation to endangered data, data reuse, and sharing is crucial in facilitating scientific workflow. Deterioration, format obsolescence, and insufficient metadata for discovery are significant problems leading to loss of scientific data. The research presented in this paper considers these potentially lost data. Four one-hour focus groups and a demographic survey were conducted with 14 scientists to learn about their attitudes toward endangered data, data sharing, data reuse, and their opinions of the DARI inventory. The results indicate that unavailability, lack of context, accessibility issues, and potential endangerment are key concerns to scientists.
How to Cite:
Murillo, A.P., 2014. Data at Risk Initiative: Examining and Facilitating the Scientific Process in Relation to Endangered Data. Data Science Journal, 12, pp.207–219. DOI: http://doi.org/10.2481/dsj.12-048
Published on
07 Jan 2014.
Peer Reviewed
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