A content analysis of institutional data policies

Kayleigh Ayn Bohémier, Thea Atwood, Andreas Kuehn, Jian Qin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

The newly issued requirement for a data management plan in proposals submitted to the U.S. National Science Foundation and other federal funding agencies prompted many institutions to develop their own policies to conform to this new requirement as well as to more effectively manage, share, publish, and provide access to research data. While the need for guidelines or a framework in developing such data policies is imminent, research is lacking in this area. The study reported here addresses this need by using a content analysis of 58 policy documents from 20 institutions. Our preliminary findings reveal an uneven distribution of data policies among the institutions and disciplines included in this study. We are currently analyzing our results.

Original languageEnglish (US)
Title of host publicationJCDL'11 - Proceedings of the 2011 ACM/IEEE Joint Conference on Digital Libraries
Pages409-410
Number of pages2
DOIs
StatePublished - Jul 25 2011
Event11th Annual International ACM/IEEE Joint Conference on Digital Libraries, JCDL'11 - Ottawa, ON, Canada
Duration: Jun 13 2011Jun 17 2011

Publication series

NameProceedings of the ACM/IEEE Joint Conference on Digital Libraries
ISSN (Print)1552-5996

Other

Other11th Annual International ACM/IEEE Joint Conference on Digital Libraries, JCDL'11
CountryCanada
CityOttawa, ON
Period6/13/116/17/11

Keywords

  • data access
  • data citation
  • data management
  • data policy
  • data publishing
  • data sharing
  • eScience
  • institutional repositories

ASJC Scopus subject areas

  • Engineering(all)

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