Disciplinary differences in faculty research data management practices and perspectives

TitleDisciplinary differences in faculty research data management practices and perspectives
Publication TypeJournal Article
Year of Publication2013
AuthorsAkers, K., & Doty J.
JournalInternational Journal of Digital Curation
Volume8
Issue2
Pagination5 - 26
Date Published2013///
Keywordsbackup, faculty, interdisciplinary, metadata, planning, preservation, services, sg_data_survey, sharing, storage, survey
Abstract

Academic librarians are increasingly engaging in data curation by providing infrastructure (e.g., institutional repositories) and offering services (e.g., data management plan consultations) to support the management of research data on their campuses. Efforts to develop these resources may benefit from a greater understanding of disciplinary differences in research data management needs. After conducting a survey of data management practices and perspectives at our research university, we categorized faculty members into four research domains—arts and humanities, social sciences, medical sciences, and basic sciences—and analyzed variations in their patterns of survey responses. We found statistically significant differences among the four research domains for nearly every survey item, revealing important disciplinary distinctions in data management actions, attitudes, and interest in support services. Serious consideration of both the similarities and dissimilarities among disciplines will help guide academic librarians and other data curation professionals in developing a range of data-management services that can be tailored to the unique needs of different scholarly researchers.

URLhttp://dx.doi.org/10.2218/ijdc.v8i2.263

Gap Area Study Type:

Purpose: 
Investigated disciplinary differences in research data management needs at Emory University
Method: 
Sent email invitation to participate in online survey to all employees at Emory University with faculty status. 456 out of 5,590 (8%) initiated survey. 330 responded that conduct research that generates some kind of data and filled out one question