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Preserving research data

Authors:

James A. Jacobs,

Charles HumphreyAuthors Info & Claims

Communications of the ACM, Volume 47, Issue 9

Pages 27 - 29

https://doi.org/10.1145/1015864.1015881

Published: 01 September 2004 Publication History

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Abstract

Granting ownership rights to data, as if it were private property, only limits data access without ensuring the benefits of researcher precedence or the rewards for good data collection.

References

[1]

Clubb, J., Austin, E., and Geda, C. Sharing research data in the social sciences. In Sharing Research Data, S. Fienberg, M. Martin, and M. Straf, Eds. National Academy Press, Washington, D.C., 1985, 39--88.

Google Scholar

[2]

Consultative Committee for Space Data Systems. Reference Model for an Open Archival Information System, Blue Book Issue 1. Washington, D.C., Jan. 2002; ssdoo.gsfc.nasa.gov/nost/wwwclassic/documents/pdf/Ccsds-650.0-B-1.pdf.

Google Scholar

[3]

Curl Exemplars in Digital Archives (Cedars). Metadata for Digital Preservation: The Cedars Project Outline Specification (draft for public consultation). The Cedars Project Team and Ukoln, Leeds, England, Mar. 2000; www.leeds.ac.uk/cedars/colman/metadata/metadataspec.html.

Google Scholar

[4]

Data Documentation Initiative Alliance. Inter-university Consortium for Political and Social Research, Ann Arbor, MI; www.icpsr.umich.edu/DDI/.

Google Scholar

[5]

Geraci, D., Humphrey, C., and Jacobs, J. Data Basics. Canadian Library Association, Ottawa, ON.

Google Scholar

[6]

Hotz, R. Scientists sharing fewer discoveries. Los Angeles Times (Feb. 11, 2002), A12.

Google Scholar

[7]

International Association for Social Science Information Service and Technology; iassist.org.

Google Scholar

[8]

Inter-University Consortium for Political and Social Research. Ann Arbor, MI; www.icpsr.umich.edu/.

Google Scholar

[9]

Lupovici, C. and Masanes, J. Metadata for Long-term Preservation, Tech. Rep. Networked European Deposit Library, The Hague, The Netherlands, July 2000; www.kb.nl/coop/nedlib/results/preservationmetadata.pdf.

Google Scholar

[10]

Organisation for Economic Co-operation and Development Follow-up Group on Issues of Access to Publicly Funded Research Data. The Public Domain of Digital Research Data, Tech. Rep.; dataaccess.sdsc.edu/PlanningDoc.html.

Google Scholar

[11]

Sniffen, M. Some of America's history is lost in the computer revolution. Associated Press (Jan. 2, 1991).

Google Scholar

Cited By

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Reilly MThompson S(2019)Understanding Data Management Planning and Sharing: Perspectives for the Social ScientistAnthropological Data in the Digital Age10.1007/978-3-030-24925-0_2(13-30)Online publication date: 2-Nov-2019
https://doi.org/10.1007/978-3-030-24925-0_2
Da Sylva L(2017)Les données et leurs impacts théoriques et pratiques sur les professionnels de l’informationThe Theoretical and Practical Impact of Data on Information ProfessionalsDocumentation et bibliothèques10.7202/1042308ar63:4(5)Online publication date: 2017
https://doi.org/10.7202/1042308ar
Kong N(2015)Exploring Best Management Practices for Geospatial Data in Academic LibrariesJournal of Map & Geography Libraries10.1080/15420353.2015.104317011:2(207-225)Online publication date: 4-Sep-2015
https://doi.org/10.1080/15420353.2015.1043170
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Published In

Communications of the ACM Volume 47, Issue 9

End-user development: tools that empower users to create their own software solutions

September 2004

85 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/1015864

Issue’s Table of Contents

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 September 2004

Published in CACM Volume 47, Issue 9

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Reilly MThompson S(2019)Understanding Data Management Planning and Sharing: Perspectives for the Social ScientistAnthropological Data in the Digital Age10.1007/978-3-030-24925-0_2(13-30)Online publication date: 2-Nov-2019
https://doi.org/10.1007/978-3-030-24925-0_2
Da Sylva L(2017)Les données et leurs impacts théoriques et pratiques sur les professionnels de l’informationThe Theoretical and Practical Impact of Data on Information ProfessionalsDocumentation et bibliothèques10.7202/1042308ar63:4(5)Online publication date: 2017
https://doi.org/10.7202/1042308ar
Kong N(2015)Exploring Best Management Practices for Geospatial Data in Academic LibrariesJournal of Map & Geography Libraries10.1080/15420353.2015.104317011:2(207-225)Online publication date: 4-Sep-2015
https://doi.org/10.1080/15420353.2015.1043170
McKay DBuchanan GKlein MRauber ACunningham S(2014)Bend me, shape meProceedings of the 14th ACM/IEEE-CS Joint Conference on Digital Libraries10.5555/2740769.2740837(399-402)Online publication date: 8-Sep-2014
https://dl.acm.org/doi/10.5555/2740769.2740837
McKay D(2014)Bend me, shape me: A practical experience of repurposing research dataIEEE/ACM Joint Conference on Digital Libraries10.1109/JCDL.2014.6970196(399-402)Online publication date: Sep-2014
https://doi.org/10.1109/JCDL.2014.6970196
Poole A(2014)How has your science data grown? Digital curation and the human factor: a critical literature reviewArchival Science10.1007/s10502-014-9236-y15:2(101-139)Online publication date: 23-Nov-2014
https://doi.org/10.1007/s10502-014-9236-y
Grazier KTrochim WDilts DKirk R(2013)Estimating Return on Investment in Translational ResearchEvaluation & the Health Professions10.1177/016327871349958736:4(478-491)Online publication date: 7-Aug-2013
https://doi.org/10.1177/0163278713499587
Wang M(2013)Supporting the research process through expanded library data servicesProgram10.1108/PROG-04-2012-001047:3(282-303)Online publication date: 19-Jul-2013
https://doi.org/10.1108/PROG-04-2012-0010
Bosch TCyganiak RWackerow JZapilko B(2012)Leveraging the DDI model for linked statistical data in the social, behavioural, and economic sciencesProceedings of the 2012 International Conference on Dublin Core and Metadata Applications10.5555/2771179.2771185(46-55)Online publication date: 3-Sep-2012
https://dl.acm.org/doi/10.5555/2771179.2771185
Johnson LButler JJohnston L(2012)Developing E-Science and Research Services and Support at the University of Minnesota Health Sciences LibrariesJournal of Library Administration10.1080/01930826.2012.75129152:8(754-769)Online publication date: Nov-2012
https://doi.org/10.1080/01930826.2012.751291
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Employing PRBAC for privacy preserving data publishing

Anonymity-preserving data collection

Privacy-preserving imputation of missing data

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