Units of evidence for analyzing subdisciplinary difference in data practice studies

Melissa H. Cragin, Tiffany C. Chao, Carole L. Palmer

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

Abstract

Digital libraries (DLs) are adapting to accommodate research data and related services. The complexities of this new content spans the elements of DL development, and there are questions concerning data selection, service development, and how best to align these with local, institutional initiatives for cyberinfrastructure, data-intensive research, and data stewardship. Small science disciplines are of particular relevance due to the prevalence of this mode of research in the academy, and the anticipated magnitude of data production. To support data acquisition into DLs - and subsequent data reuse - there is a need for new knowledge on the range and complexities inherent in practice-data-curation arrangements for small science research. We present a flexible methodological approach crafted to generate data units to analyze these relationships and facilitate cross-disciplinary comparisons.

Original languageEnglish (US)
Title of host publicationJCDL'11 - Proceedings of the 2011 ACM/IEEE Joint Conference on Digital Libraries
Pages441-442
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 curation
  • data practices
  • methods
  • small science

ASJC Scopus subject areas

  • Engineering(all)

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