Achieving and Maintaining Metadata Quality: Toward a Sustainable Workflow for the IDEALS Institutional Repository.
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| Title: | Achieving and Maintaining Metadata Quality: Toward a Sustainable Workflow for the IDEALS Institutional Repository. |
|---|---|
| Authors: | Stein, Ayla1, Applegate, Kelly J.2, Robbins, Seth1 |
| Source: | Cataloging & Classification Quarterly. 2017, Vol. 55 Issue 7/8, p644-666. 23p. |
| Subject Terms: | *Metadata, *Institutional repositories, Quality assurance, Data warehousing, Data quality |
| Company/Entity: | University of Illinois at Urbana-Champaign |
| Abstract: | This article documents the steps taken to assess metadata errors within the IDEALS repository. It describes the workflows established to create accurate and consistent metadata, focusing especially on the batch ingest and retroactive metadata remediation processes. It also seeks to address theoretical issues surrounding the concept of metadata quality. [ABSTRACT FROM AUTHOR] |
| Copyright of Cataloging & Classification Quarterly is the property of Taylor & Francis Ltd 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 | Text: Availability: 0 |
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| Header | DbId: ehh DbLabel: Education Research Complete An: 126207117 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Achieving and Maintaining Metadata Quality: Toward a Sustainable Workflow for the IDEALS Institutional Repository. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Stein%2C+Ayla%22">Stein, Ayla</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Applegate%2C+Kelly+J%2E%22">Applegate, Kelly J.</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Robbins%2C+Seth%22">Robbins, Seth</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Cataloging+%26+Classification+Quarterly%22">Cataloging & Classification Quarterly</searchLink>. 2017, Vol. 55 Issue 7/8, p644-666. 23p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Metadata%22">Metadata</searchLink><br />*<searchLink fieldCode="DE" term="%22Institutional+repositories%22">Institutional repositories</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+assurance%22">Quality assurance</searchLink><br /><searchLink fieldCode="DE" term="%22Data+warehousing%22">Data warehousing</searchLink><br /><searchLink fieldCode="DE" term="%22Data+quality%22">Data quality</searchLink> – Name: SubjectCompany Label: Company/Entity Group: Su Data: <searchLink fieldCode="DE" term="%22University+of+Illinois+at+Urbana-Champaign%22">University of Illinois at Urbana-Champaign</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: This article documents the steps taken to assess metadata errors within the IDEALS repository. It describes the workflows established to create accurate and consistent metadata, focusing especially on the batch ingest and retroactive metadata remediation processes. It also seeks to address theoretical issues surrounding the concept of metadata quality. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Cataloging & Classification Quarterly is the property of Taylor & Francis Ltd 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=126207117 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/01639374.2017.1358786 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 23 StartPage: 644 Subjects: – SubjectFull: Metadata Type: general – SubjectFull: Institutional repositories Type: general – SubjectFull: Quality assurance Type: general – SubjectFull: Data warehousing Type: general – SubjectFull: Data quality Type: general – SubjectFull: University of Illinois at Urbana-Champaign Type: general Titles: – TitleFull: Achieving and Maintaining Metadata Quality: Toward a Sustainable Workflow for the IDEALS Institutional Repository. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Stein, Ayla – PersonEntity: Name: NameFull: Applegate, Kelly J. – PersonEntity: Name: NameFull: Robbins, Seth IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: 2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 01639374 Numbering: – Type: volume Value: 55 – Type: issue Value: 7/8 Titles: – TitleFull: Cataloging & Classification Quarterly Type: main |
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