poster

Units of evidence for analyzing subdisciplinary difference in data practice studies

Authors:

Melissa H. Cragin,

Tiffany C. Chao,

Carole L. PalmerAuthors Info & Claims

JCDL '11: Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries

Pages 441 - 442

https://doi.org/10.1145/1998076.1998175

Published: 13 June 2011 Publication History

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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.

References

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Cited By

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Gregory KGroth PCousijn HScharnhorst AWyatt S(2019)Searching DataJournal of the Association for Information Science and Technology10.1002/asi.2416570:5(419-432)Online publication date: 3-Apr-2019
https://dl.acm.org/doi/10.1002/asi.24165
Palmer CThomer ABaker KWickett KHendrix CRodman ASigler SFouke B(2017)Site-based data curation based on hot spring geobiologyPLOS ONE10.1371/journal.pone.017209012:3(e0172090)Online publication date: 2-Mar-2017
https://doi.org/10.1371/journal.pone.0172090
Chao TCragin MPalmer C(2015)Data Practices and Curation Vocabulary DPCVocabJournal of the Association for Information Science and Technology10.1002/asi.2318466:3(616-633)Online publication date: 1-Mar-2015
https://dl.acm.org/doi/10.1002/asi.23184
Show More Cited By

Index Terms

Units of evidence for analyzing subdisciplinary difference in data practice studies
1. Applied computing
  1. Computers in other domains
    1. Digital libraries and archives
2. Information systems
  1. Information retrieval
    1. Document representation
      1. Document collection models
  2. Information systems applications
    1. Digital libraries and archives

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Information & Contributors

Information

Published In

JCDL '11: Proceedings of the 11th annual international ACM/IEEE joint conference on Digital libraries

June 2011

500 pages

ISBN:9781450307444

DOI:10.1145/1998076

General Chair:
Glen Newton
Carleton University, Canada
,
Program Chairs:
Michael Wright
UCAR/NCAR, USA
,
Lillian Cassel
Villanova University, USA

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 June 2011

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JCDL '11

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JCDL '11: Joint Conference on Digital Libraries

June 13 - 17, 2011

Ontario, Ottawa, Canada

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Overall Acceptance Rate 415 of 1,482 submissions, 28%

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The 2024 ACM/IEEE Joint Conference on Digital Libraries

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Cited By

View all

Gregory KGroth PCousijn HScharnhorst AWyatt S(2019)Searching DataJournal of the Association for Information Science and Technology10.1002/asi.2416570:5(419-432)Online publication date: 3-Apr-2019
https://dl.acm.org/doi/10.1002/asi.24165
Palmer CThomer ABaker KWickett KHendrix CRodman ASigler SFouke B(2017)Site-based data curation based on hot spring geobiologyPLOS ONE10.1371/journal.pone.017209012:3(e0172090)Online publication date: 2-Mar-2017
https://doi.org/10.1371/journal.pone.0172090
Chao TCragin MPalmer C(2015)Data Practices and Curation Vocabulary DPCVocabJournal of the Association for Information Science and Technology10.1002/asi.2318466:3(616-633)Online publication date: 1-Mar-2015
https://dl.acm.org/doi/10.1002/asi.23184
Weber NBaker KThomer AChao TPalmer C(2013)Value and context in data use: Domain analysis revisitedProceedings of the American Society for Information Science and Technology10.1002/meet.1450490116849:1(1-10)Online publication date: 24-Jan-2013
https://doi.org/10.1002/meet.14504901168
Chao TMai J(2012)Exploring the rhythms of scientific data useProceedings of the 2012 iConference10.1145/2132176.2132193(129-135)Online publication date: 7-Feb-2012
https://dl.acm.org/doi/10.1145/2132176.2132193
Palmer CWeber NCragin M(2012)The analytic potential of scientific data: Understanding re-use valueProceedings of the American Society for Information Science and Technology10.1002/meet.2011.1450480117448:1(1-10)Online publication date: 11-Jan-2012
https://doi.org/10.1002/meet.2011.14504801174

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Awash in stardust: data practices in astronomy

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How Domain Experts Work with Data: Situating Data Science in the Practices and Settings of Craftwork