Maximizing the Discovery of Data Sets in the Yale University Library Catalog.
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| Title: | Maximizing the Discovery of Data Sets in the Yale University Library Catalog. |
|---|---|
| Authors: | Griem, Rowena1 rowena.griem@yale.edu, Sugiyama, Yukari2 yukari.sugiyama@yale.edu, Meier, Tachtorn3 tachtorn.meier@yale.edu |
| Source: | Library Resources & Technical Services. Jan2022, Vol. 66 Issue 1, p4-15. 12p. |
| Subject Terms: | *Scholarships, *Data analysis, Big data, Library cooperation, CD-ROMs |
| Abstract: | In response to the desire to include data set holdings in the Yale University Library (YUL) catalog, the Dataset Cataloging Task Force was formed in spring 2019 to assess the existing cataloging practices and current integrated library system environment. This paper describes the process of developing cataloging guidelines in the absence of authoritative resources while implementing best practices for cataloging data sets with the goal of optimizing the discoverability and accessibility of data sets in the online library catalog. The authors recommend the establishment of a national group to discuss, establish, and document national guidelines for cataloging data sets so that these increasingly important resources are treated in a consistent manner in institutional, consortial, and global catalogs. [ABSTRACT FROM AUTHOR] |
| Copyright of Library Resources & Technical Services is the property of American Library Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 156422433 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Maximizing the Discovery of Data Sets in the Yale University Library Catalog. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Griem%2C+Rowena%22">Griem, Rowena</searchLink><relatesTo>1</relatesTo><i> rowena.griem@yale.edu</i><br /><searchLink fieldCode="AR" term="%22Sugiyama%2C+Yukari%22">Sugiyama, Yukari</searchLink><relatesTo>2</relatesTo><i> yukari.sugiyama@yale.edu</i><br /><searchLink fieldCode="AR" term="%22Meier%2C+Tachtorn%22">Meier, Tachtorn</searchLink><relatesTo>3</relatesTo><i> tachtorn.meier@yale.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Library+Resources+%26+Technical+Services%22">Library Resources & Technical Services</searchLink>. Jan2022, Vol. 66 Issue 1, p4-15. 12p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Scholarships%22">Scholarships</searchLink><br />*<searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Big+data%22">Big data</searchLink><br /><searchLink fieldCode="DE" term="%22Library+cooperation%22">Library cooperation</searchLink><br /><searchLink fieldCode="DE" term="%22CD-ROMs%22">CD-ROMs</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In response to the desire to include data set holdings in the Yale University Library (YUL) catalog, the Dataset Cataloging Task Force was formed in spring 2019 to assess the existing cataloging practices and current integrated library system environment. This paper describes the process of developing cataloging guidelines in the absence of authoritative resources while implementing best practices for cataloging data sets with the goal of optimizing the discoverability and accessibility of data sets in the online library catalog. The authors recommend the establishment of a national group to discuss, establish, and document national guidelines for cataloging data sets so that these increasingly important resources are treated in a consistent manner in institutional, consortial, and global catalogs. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Library Resources & Technical Services is the property of American Library Association and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=ehh&AN=156422433 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.5860/lrts.66n1.4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 4 Subjects: – SubjectFull: Scholarships Type: general – SubjectFull: Data analysis Type: general – SubjectFull: Big data Type: general – SubjectFull: Library cooperation Type: general – SubjectFull: CD-ROMs Type: general Titles: – TitleFull: Maximizing the Discovery of Data Sets in the Yale University Library Catalog. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Griem, Rowena – PersonEntity: Name: NameFull: Sugiyama, Yukari – PersonEntity: Name: NameFull: Meier, Tachtorn IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: Jan2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 00242527 Numbering: – Type: volume Value: 66 – Type: issue Value: 1 Titles: – TitleFull: Library Resources & Technical Services Type: main |
| ResultId | 1 |
