research-article

Data, data use, and scientific inquiry: two case studies of data practices

Authors:

Laura A. Wynholds,

Jillian C. Wallis,

Christine L. Borgman,

Sharon TraweekAuthors Info & Claims

JCDL '12: Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries

Pages 19 - 22

https://doi.org/10.1145/2232817.2232822

Published: 10 June 2012 Publication History

Abstract

Data are proliferating far faster than they can be captured, managed, or stored. What types of data are most likely to be used and reused, by whom, and for what purposes? Answers to these questions will inform information policy and the design of digital libraries. We report findings from semi-structured interviews and field observations to investigate characteristics of data use and reuse and how those characteristics vary within and between scientific communities. The two communities studied are researchers at the Center for Embedded Network Sensing (CENS) and users of the Sloan Digital Sky Survey (SDSS) data. The data practices of CENS and SDSS researchers have implications for data curation, system evaluation, and policy. Some data that are important to the conduct of research are not viewed as sufficiently valuable to keep. Other data of great value may not be mentioned or cited, because those data serve only as background to a given investigation. Metrics to assess the value of documents do not map well to data.

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Digital Library

Cited By

Fan LLafia SWofford MThomer AYakel EHemphill LKlein MBen-David AJäschke RKelly M(2024)Mining Semantic Relations in Data References to Understand the Roles of Research Data in Academic LiteratureProceedings of the 2023 ACM/IEEE Joint Conference on Digital Libraries10.1109/JCDL57899.2023.00039(215-227)Online publication date: 26-Jun-2024
https://dl.acm.org/doi/10.1109/JCDL57899.2023.00039
Gregory KNinkov ARipp CRoblin EPeters IHaustein S(2023)Tracing data: A survey investigating disciplinary differences in data citationQuantitative Science Studies10.1162/qss_a_002644:3(622-649)Online publication date: 8-Dec-2023
https://doi.org/10.1162/qss_a_00264
Borgman CBorgman C(2020)BibliographieQu’est-ce que le travail scientifique des données ?10.4000/books.oep.14792(349-411)Online publication date: 18-Dec-2020
https://doi.org/10.4000/books.oep.14792
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Index Terms

Data, data use, and scientific inquiry: two case studies of data practices
1. Applied computing
  1. Computers in other domains
    1. Digital libraries and archives
2. Information systems
  1. Information systems applications
    1. Digital libraries and archives

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Published In

cover image ACM Conferences

JCDL '12: Proceedings of the 12th ACM/IEEE-CS joint conference on Digital Libraries

June 2012

458 pages

ISBN:9781450311540

DOI:10.1145/2232817

General Chairs:
Karim B. Boughida
The George Washington University, USA
,
Barrie Howard
The Library of Congress, USA
,
Program Chairs:
Michael L. Nelson
Old Dominion University, USA
,
Herbert Van de Sompel
Los Alamos National Laboratory, USA
,
Ingeborg Sølvberg
Norwegian University of Science & Technology, Norway

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 10 June 2012

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June 10 - 14, 2012

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

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Cited By

Fan LLafia SWofford MThomer AYakel EHemphill LKlein MBen-David AJäschke RKelly M(2024)Mining Semantic Relations in Data References to Understand the Roles of Research Data in Academic LiteratureProceedings of the 2023 ACM/IEEE Joint Conference on Digital Libraries10.1109/JCDL57899.2023.00039(215-227)Online publication date: 26-Jun-2024
https://dl.acm.org/doi/10.1109/JCDL57899.2023.00039
Gregory KNinkov ARipp CRoblin EPeters IHaustein S(2023)Tracing data: A survey investigating disciplinary differences in data citationQuantitative Science Studies10.1162/qss_a_002644:3(622-649)Online publication date: 8-Dec-2023
https://doi.org/10.1162/qss_a_00264
Borgman CBorgman C(2020)BibliographieQu’est-ce que le travail scientifique des données ?10.4000/books.oep.14792(349-411)Online publication date: 18-Dec-2020
https://doi.org/10.4000/books.oep.14792
Koesten LSimperl EBlount TKacprzak ETennison J(2020)Everything you always wanted to know about a datasetInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2019.10.004135:COnline publication date: 1-Mar-2020
https://dl.acm.org/doi/10.1016/j.ijhcs.2019.10.004
Jiao CDarch P(2020)The role of the data paper in scholarly communicationProceedings of the Association for Information Science and Technology10.1002/pra2.31657:1Online publication date: 22-Oct-2020
https://doi.org/10.1002/pra2.316
Esteva MJansen CArduino PSharifi-Mood MDawson CBalandrano-Coronel J(2019)Curation and Publication of Simulation Data in DesignSafe, a Natural Hazards Engineering Open Platform and RepositoryPublications10.3390/publications70300517:3(51)Online publication date: 9-Jul-2019
https://doi.org/10.3390/publications7030051
Mayernik M(2019)Metadata accounts: Achieving data and evidence in scientific researchSocial Studies of Science10.1177/030631271986349449:5(732-757)Online publication date: 27-Jul-2019
https://doi.org/10.1177/0306312719863494
Mancini DLardo ADe Angelis M(2019)Efforts Towards Openness and Transparency of Data: A Focus on Open Science PlatformsExploring Digital Ecosystems10.1007/978-3-030-23665-6_6(67-84)Online publication date: 31-Jul-2019
https://doi.org/10.1007/978-3-030-23665-6_6
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
Plantin J(2018)Data Cleaners for Pristine Datasets: Visibility and Invisibility of Data Processors in Social ScienceScience, Technology, & Human Values10.1177/016224391878126844:1(52-73)Online publication date: 14-Jun-2018
https://doi.org/10.1177/0162243918781268
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