Metadata Quality in Institutional Repositories May be Improved by Addressing Staffing Issues

A Review of: Moulaison Sandy, H., & Dykas, F. (2016). High-quality metadata and repository staffing: Perceptions of United States–based OpenDOAR participants. Cataloging & Classification Quarterly, 54(2), 101-116. http://dx.doi.org/10.1080/01639374.2015.1116480 Objective – To investig...

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Main Author: Elizabeth Margaret Stovold
Format: Article
Language:English
Published: University of Alberta 2016-09-01
Series:Evidence Based Library and Information Practice
Subjects:
Online Access:https://journals.library.ualberta.ca/eblip/index.php/EBLIP/article/view/27787
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spelling doaj-3e9302e4d782433eac73b0e766a8f52d2020-11-25T01:18:47ZengUniversity of AlbertaEvidence Based Library and Information Practice1715-720X2016-09-0111310.18438/B81S7NMetadata Quality in Institutional Repositories May be Improved by Addressing Staffing IssuesElizabeth Margaret Stovold0St George's, University of LondonA Review of: Moulaison Sandy, H., & Dykas, F. (2016). High-quality metadata and repository staffing: Perceptions of United States–based OpenDOAR participants. Cataloging & Classification Quarterly, 54(2), 101-116. http://dx.doi.org/10.1080/01639374.2015.1116480 Objective – To investigate the quality of institutional repository metadata, metadata practices, and identify barriers to quality. Design – Survey questionnaire. Setting – The OpenDOAR online registry of worldwide repositories. Subjects – A random sample of 50 from 358 administrators of institutional repositories in the United States of America listed in the OpenDOAR registry. Methods – The authors surveyed a random sample of administrators of American institutional repositories included in the OpenDOAR registry. The survey was distributed electronically. Recipients were asked to forward the email if they felt someone else was better suited to respond. There were questions about the demographics of the repository, the metadata creation environment, metadata quality, standards and practices, and obstacles to quality. Results were analyzed in Excel, and qualitative responses were coded by two researchers together. Main results – There was a 42% (n=21) response rate to the section on metadata quality, a 40% (n=20) response rate to the metadata creation section, and 40% (n=20) to the section on obstacles to quality. The majority of respondents rated their metadata quality as average (65%, n=13) or above average (30%, n=5). No one rated the quality as high or poor, while 10% (n=2) rated the quality as below average. The survey found that the majority of descriptive metadata was created by professional (84%, n=16) or paraprofessional (53%, n=10) library staff. Professional staff were commonly involved in creating administrative metadata, reviewing the metadata, and selecting standards and documentation. Department heads and advisory committees were also involved in standards and documentation selection. The majority of repositories used locally established standards (61%, n=11). When asked about obstacles to metadata quality, the majority identified time and staff hours (85%, n=17) as a barrier, as well as repository software (60%, n=12). When the responses to questions about obstacles to quality were tabulated with the responses to quality rating, time limitations and staff hours came out as the top or joint-top answer, regardless of the quality rating. Finally, the authors present a sample of responses to the question on how metadata could be improved and these offer some solutions to staffing issues, the application of standards, and the repository system in use. Conclusion – The authors conclude that staffing, standards, and systems are all concerns in providing quality metadata. However, they suggest that standards and software issues could be overcome if adequate numbers of qualified staff are in place.https://journals.library.ualberta.ca/eblip/index.php/EBLIP/article/view/27787evidence summary
collection DOAJ
language English
format Article
sources DOAJ
author Elizabeth Margaret Stovold
spellingShingle Elizabeth Margaret Stovold
Metadata Quality in Institutional Repositories May be Improved by Addressing Staffing Issues
Evidence Based Library and Information Practice
evidence summary
author_facet Elizabeth Margaret Stovold
author_sort Elizabeth Margaret Stovold
title Metadata Quality in Institutional Repositories May be Improved by Addressing Staffing Issues
title_short Metadata Quality in Institutional Repositories May be Improved by Addressing Staffing Issues
title_full Metadata Quality in Institutional Repositories May be Improved by Addressing Staffing Issues
title_fullStr Metadata Quality in Institutional Repositories May be Improved by Addressing Staffing Issues
title_full_unstemmed Metadata Quality in Institutional Repositories May be Improved by Addressing Staffing Issues
title_sort metadata quality in institutional repositories may be improved by addressing staffing issues
publisher University of Alberta
series Evidence Based Library and Information Practice
issn 1715-720X
publishDate 2016-09-01
description A Review of: Moulaison Sandy, H., & Dykas, F. (2016). High-quality metadata and repository staffing: Perceptions of United States–based OpenDOAR participants. Cataloging & Classification Quarterly, 54(2), 101-116. http://dx.doi.org/10.1080/01639374.2015.1116480 Objective – To investigate the quality of institutional repository metadata, metadata practices, and identify barriers to quality. Design – Survey questionnaire. Setting – The OpenDOAR online registry of worldwide repositories. Subjects – A random sample of 50 from 358 administrators of institutional repositories in the United States of America listed in the OpenDOAR registry. Methods – The authors surveyed a random sample of administrators of American institutional repositories included in the OpenDOAR registry. The survey was distributed electronically. Recipients were asked to forward the email if they felt someone else was better suited to respond. There were questions about the demographics of the repository, the metadata creation environment, metadata quality, standards and practices, and obstacles to quality. Results were analyzed in Excel, and qualitative responses were coded by two researchers together. Main results – There was a 42% (n=21) response rate to the section on metadata quality, a 40% (n=20) response rate to the metadata creation section, and 40% (n=20) to the section on obstacles to quality. The majority of respondents rated their metadata quality as average (65%, n=13) or above average (30%, n=5). No one rated the quality as high or poor, while 10% (n=2) rated the quality as below average. The survey found that the majority of descriptive metadata was created by professional (84%, n=16) or paraprofessional (53%, n=10) library staff. Professional staff were commonly involved in creating administrative metadata, reviewing the metadata, and selecting standards and documentation. Department heads and advisory committees were also involved in standards and documentation selection. The majority of repositories used locally established standards (61%, n=11). When asked about obstacles to metadata quality, the majority identified time and staff hours (85%, n=17) as a barrier, as well as repository software (60%, n=12). When the responses to questions about obstacles to quality were tabulated with the responses to quality rating, time limitations and staff hours came out as the top or joint-top answer, regardless of the quality rating. Finally, the authors present a sample of responses to the question on how metadata could be improved and these offer some solutions to staffing issues, the application of standards, and the repository system in use. Conclusion – The authors conclude that staffing, standards, and systems are all concerns in providing quality metadata. However, they suggest that standards and software issues could be overcome if adequate numbers of qualified staff are in place.
topic evidence summary
url https://journals.library.ualberta.ca/eblip/index.php/EBLIP/article/view/27787
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