The conundrum of sharing research data
Identifieur interne : 000266 ( Istex/Corpus ); précédent : 000265; suivant : 000267The conundrum of sharing research data
Auteurs : Christine L. BorgmanSource :
- Journal of the American Society for Information Science and Technology [ 1532-2882 ] ; 2012-06.
Abstract
We must all accept that science is data and that data are science, and thus provide for, and justify the need for the support of, much‐improved data curation. (Hanson, Sugden, & Alberts, ) Researchers are producing an unprecedented deluge of data by using new methods and instrumentation. Others may wish to mine these data for new discoveries and innovations. However, research data are not readily available as sharing is common in only a few fields such as astronomy and genomics. Data sharing practices in other fields vary widely. Moreover, research data take many forms, are handled in many ways, using many approaches, and often are difficult to interpret once removed from their initial context. Data sharing is thus a conundrum. Four rationales for sharing data are examined, drawing examples from the sciences, social sciences, and humanities: (1) to reproduce or to verify research, (2) to make results of publicly funded research available to the public, (3) to enable others to ask new questions of extant data, and (4) to advance the state of research and innovation. These rationales differ by the arguments for sharing, by beneficiaries, and by the motivations and incentives of the many stakeholders involved. The challenges are to understand which data might be shared, by whom, with whom, under what conditions, why, and to what effects. Answers will inform data policy and practice.
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DOI: 10.1002/asi.22634
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Borgman</name><affiliation><mods:affiliation>UCLA Department of Information Studies, GSEIS Bldg, Rm. 235, Box 951520, California, 90095‐1520, Los Angeles</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: borgman@gseis.ucla.edu</mods:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:FAF1AEC6EC664F5103D8963D3379ACAECC6BF1E1</idno><date when="2012" year="2012">2012</date><idno type="doi">10.1002/asi.22634</idno><idno type="url">https://api.istex.fr/document/FAF1AEC6EC664F5103D8963D3379ACAECC6BF1E1/fulltext/pdf</idno><idno type="wicri:Area/Istex/Corpus">000266</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">The conundrum of sharing research data</title><author><name sortKey="Borgman, Christine L" sort="Borgman, Christine L" uniqKey="Borgman C" first="Christine L." last="Borgman">Christine L. Borgman</name><affiliation><mods:affiliation>UCLA Department of Information Studies, GSEIS Bldg, Rm. 235, Box 951520, California, 90095‐1520, Los Angeles</mods:affiliation></affiliation><affiliation><mods:affiliation>E-mail: borgman@gseis.ucla.edu</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Journal of the American Society for Information Science and Technology</title><title level="j" type="abbrev">J Am Soc Inf Sci Tec</title><idno type="ISSN">1532-2882</idno><idno type="eISSN">1532-2890</idno><imprint><publisher>Blackwell Publishing Ltd</publisher><date type="published" when="2012-06">2012-06</date><biblScope unit="volume">63</biblScope><biblScope unit="issue">6</biblScope><biblScope unit="page" from="1059">1059</biblScope><biblScope unit="page" to="1078">1078</biblScope></imprint><idno type="ISSN">1532-2882</idno></series><idno type="istex">FAF1AEC6EC664F5103D8963D3379ACAECC6BF1E1</idno><idno type="DOI">10.1002/asi.22634</idno><idno type="ArticleID">ASI22634</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">1532-2882</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract">We must all accept that science is data and that data are science, and thus provide for, and justify the need for the support of, much‐improved data curation. (Hanson, Sugden, & Alberts, ) Researchers are producing an unprecedented deluge of data by using new methods and instrumentation. Others may wish to mine these data for new discoveries and innovations. However, research data are not readily available as sharing is common in only a few fields such as astronomy and genomics. Data sharing practices in other fields vary widely. Moreover, research data take many forms, are handled in many ways, using many approaches, and often are difficult to interpret once removed from their initial context. Data sharing is thus a conundrum. Four rationales for sharing data are examined, drawing examples from the sciences, social sciences, and humanities: (1) to reproduce or to verify research, (2) to make results of publicly funded research available to the public, (3) to enable others to ask new questions of extant data, and (4) to advance the state of research and innovation. These rationales differ by the arguments for sharing, by beneficiaries, and by the motivations and incentives of the many stakeholders involved. The challenges are to understand which data might be shared, by whom, with whom, under what conditions, why, and to what effects. Answers will inform data policy and practice.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>Christine L. Borgman</name><affiliations><json:string>UCLA Department of Information Studies, GSEIS Bldg, Rm. 235, Box 951520, California, 90095‐1520, Los Angeles</json:string><json:string>E-mail: borgman@gseis.ucla.edu</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>research data sets</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>collaboration</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>information reuse</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>information policy</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>motivation</value></json:item></subject><articleId><json:string>ASI22634</json:string></articleId><language><json:string>eng</json:string></language><originalGenre><json:string>article</json:string></originalGenre><abstract>We must all accept that science is data and that data are science, and thus provide for, and justify the need for the support of, much‐improved data curation. (Hanson, Sugden, & Alberts, ) Researchers are producing an unprecedented deluge of data by using new methods and instrumentation. Others may wish to mine these data for new discoveries and innovations. However, research data are not readily available as sharing is common in only a few fields such as astronomy and genomics. Data sharing practices in other fields vary widely. Moreover, research data take many forms, are handled in many ways, using many approaches, and often are difficult to interpret once removed from their initial context. Data sharing is thus a conundrum. Four rationales for sharing data are examined, drawing examples from the sciences, social sciences, and humanities: (1) to reproduce or to verify research, (2) to make results of publicly funded research available to the public, (3) to enable others to ask new questions of extant data, and (4) to advance the state of research and innovation. These rationales differ by the arguments for sharing, by beneficiaries, and by the motivations and incentives of the many stakeholders involved. The challenges are to understand which data might be shared, by whom, with whom, under what conditions, why, and to what effects. 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(Hanson, Sugden, & Alberts, ) Researchers are producing an unprecedented deluge of data by using new methods and instrumentation. Others may wish to mine these data for new discoveries and innovations. However, research data are not readily available as sharing is common in only a few fields such as astronomy and genomics. Data sharing practices in other fields vary widely. Moreover, research data take many forms, are handled in many ways, using many approaches, and often are difficult to interpret once removed from their initial context. Data sharing is thus a conundrum. Four rationales for sharing data are examined, drawing examples from the sciences, social sciences, and humanities: (1) to reproduce or to verify research, (2) to make results of publicly funded research available to the public, (3) to enable others to ask new questions of extant data, and (4) to advance the state of research and innovation. These rationales differ by the arguments for sharing, by beneficiaries, and by the motivations and incentives of the many stakeholders involved. The challenges are to understand which data might be shared, by whom, with whom, under what conditions, why, and to what effects. 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Angeles</city><countryPart>California</countryPart><postCode>90095‐1520</postCode></address></affiliation></affiliationGroup><keywordGroup type="author"><keyword xml:id="asi22634-kwd-0001">research data sets</keyword><keyword xml:id="asi22634-kwd-0002">collaboration</keyword><keyword xml:id="asi22634-kwd-0003">information reuse</keyword><keyword xml:id="asi22634-kwd-0004">information policy</keyword><keyword xml:id="asi22634-kwd-0005">motivation</keyword></keywordGroup><fundingInfo><fundingAgency>National Science Foundation (NSF)</fundingAgency></fundingInfo><abstractGroup><abstract type="main"><p><blockFixed type="quotation"><p>We must all accept that science is data and that data are science, and thus provide for, and justify the need for the support of, much‐improved data curation. <source>(Hanson, Sugden, & Alberts, <link href="#asi22634-bib-0068"></link>)</source></p></blockFixed></p><p>Researchers are producing an unprecedented deluge of data by using new methods and instrumentation. Others may wish to mine these data for new discoveries and innovations. However, research data are not readily available as sharing is common in only a few fields such as astronomy and genomics. Data sharing practices in other fields vary widely. Moreover, research data take many forms, are handled in many ways, using many approaches, and often are difficult to interpret once removed from their initial context. Data sharing is thus a conundrum. Four rationales for sharing data are examined, drawing examples from the sciences, social sciences, and humanities: (1) to reproduce or to verify research, (2) to make results of publicly funded research available to the public, (3) to enable others to ask new questions of extant data, and (4) to advance the state of research and innovation. These rationales differ by the arguments for sharing, by beneficiaries, and by the motivations and incentives of the many stakeholders involved. The challenges are to understand which data might be shared, by whom, with whom, under what conditions, why, and to what effects. Answers will inform data policy and practice.</p></abstract></abstractGroup> </contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>The conundrum of sharing research data</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>The conundrum of sharing research data</title></titleInfo><name type="personal"><namePart type="given">Christine L.</namePart><namePart type="family">Borgman</namePart><affiliation>UCLA Department of Information Studies, GSEIS Bldg, Rm. 235, Box 951520, California, 90095‐1520, Los Angeles</affiliation><affiliation>E-mail: borgman@gseis.ucla.edu</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>Blackwell Publishing Ltd</publisher><dateIssued encoding="w3cdtf">2012-06</dateIssued><dateCreated encoding="w3cdtf">2012-02-13</dateCreated><dateCaptured encoding="w3cdtf">2011-06-21</dateCaptured><dateValid encoding="w3cdtf">2011-12-20</dateValid><copyrightDate encoding="w3cdtf">2012</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract>We must all accept that science is data and that data are science, and thus provide for, and justify the need for the support of, much‐improved data curation. (Hanson, Sugden, & Alberts, ) Researchers are producing an unprecedented deluge of data by using new methods and instrumentation. Others may wish to mine these data for new discoveries and innovations. However, research data are not readily available as sharing is common in only a few fields such as astronomy and genomics. Data sharing practices in other fields vary widely. Moreover, research data take many forms, are handled in many ways, using many approaches, and often are difficult to interpret once removed from their initial context. Data sharing is thus a conundrum. Four rationales for sharing data are examined, drawing examples from the sciences, social sciences, and humanities: (1) to reproduce or to verify research, (2) to make results of publicly funded research available to the public, (3) to enable others to ask new questions of extant data, and (4) to advance the state of research and innovation. These rationales differ by the arguments for sharing, by beneficiaries, and by the motivations and incentives of the many stakeholders involved. The challenges are to understand which data might be shared, by whom, with whom, under what conditions, why, and to what effects. 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