Scientific data repositories on the Web: An initial survey
Identifieur interne : 000364 ( Istex/Corpus ); précédent : 000363; suivant : 000365Scientific data repositories on the Web: An initial survey
Auteurs : Laura Haak Marcial ; Bradley M. HemmingerSource :
- Journal of the American Society for Information Science and Technology [ 1532-2882 ] ; 2010-10.
Abstract
Science Data Repositories (SDRs) have been recognized as both critical to science, and undergoing a fundamental change. A websample study was conducted of 100 SDRs. Information on the websites and from administrators of the SDRs was reviewed to determine salient characteristics of the SDRs, which were used to classify SDRs into groups using a combination of cluster analysis and logistic regression. Characteristics of the SDRs were explored for their role in determining groupings and for their relationship to the success of SDRs. Four of these characteristics were identified as important for further investigation: whether the SDR was supported with grants and contracts, whether support comes from multiple sponsors, what the holding size of the SDR is and whether a preservation policy exists for the SDR. An inferential framework for understanding SDR composition, guided by observations, characteristic collection and refinement and subsequent analysis on elements of group membership, is discussed. The development of SDRs is further examined from a business standpoint, and in comparison to its most similar form, institutional repositories. Because this work identifies important characteristics of SDRs and which characteristics potentially impact the sustainability and success of SDRs, it is expected to be helpful to SDRs.
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DOI: 10.1002/asi.21339
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ISTEX:A18925D290113D9B4D9272B5D0D33C966D1BBE57Le document en format XML
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Sci.</title><idno type="ISSN">1532-2882</idno><idno type="eISSN">1532-2890</idno><imprint><publisher>Wiley Subscription Services, Inc., A Wiley Company</publisher><pubPlace>Hoboken</pubPlace><date type="published" when="2010-10">2010-10</date><biblScope unit="volume">61</biblScope><biblScope unit="issue">10</biblScope><biblScope unit="page" from="2029">2029</biblScope><biblScope unit="page" to="2048">2048</biblScope></imprint><idno type="ISSN">1532-2882</idno></series><idno type="istex">A18925D290113D9B4D9272B5D0D33C966D1BBE57</idno><idno type="DOI">10.1002/asi.21339</idno><idno type="ArticleID">ASI21339</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" xml:lang="en">Science Data Repositories (SDRs) have been recognized as both critical to science, and undergoing a fundamental change. A websample study was conducted of 100 SDRs. Information on the websites and from administrators of the SDRs was reviewed to determine salient characteristics of the SDRs, which were used to classify SDRs into groups using a combination of cluster analysis and logistic regression. Characteristics of the SDRs were explored for their role in determining groupings and for their relationship to the success of SDRs. Four of these characteristics were identified as important for further investigation: whether the SDR was supported with grants and contracts, whether support comes from multiple sponsors, what the holding size of the SDR is and whether a preservation policy exists for the SDR. An inferential framework for understanding SDR composition, guided by observations, characteristic collection and refinement and subsequent analysis on elements of group membership, is discussed. The development of SDRs is further examined from a business standpoint, and in comparison to its most similar form, institutional repositories. Because this work identifies important characteristics of SDRs and which characteristics potentially impact the sustainability and success of SDRs, it is expected to be helpful to SDRs.</div></front></TEI><istex><corpusName>wiley</corpusName><author><json:item><name>Laura Haak Marcial</name><affiliations><json:string>School of Information and Library Science, University of North Carolina at Chapel Hill, CB#3360, 205 Manning Hall, Chapel Hill, North Carolina 27599‐3360</json:string><json:string>E-mail: marcial@unc.edu</json:string></affiliations></json:item><json:item><name>Bradley M. 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The development of SDRs is further examined from a business standpoint, and in comparison to its most similar form, institutional repositories. 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A websample study was conducted of 100 SDRs. Information on the websites and from administrators of the SDRs was reviewed to determine salient characteristics of the SDRs, which were used to classify SDRs into groups using a combination of cluster analysis and logistic regression. Characteristics of the SDRs were explored for their role in determining groupings and for their relationship to the success of SDRs. Four of these characteristics were identified as important for further investigation: whether the SDR was supported with grants and contracts, whether support comes from multiple sponsors, what the holding size of the SDR is and whether a preservation policy exists for the SDR. An inferential framework for understanding SDR composition, guided by observations, characteristic collection and refinement and subsequent analysis on elements of group membership, is discussed. 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