Is It Worth It? Management Issues Related to Database Quality

Hill, Janet Swan

doi:10.1080/01639370802182885

Cited by 9 publications

(4 citation statements)

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“…Add to these challenges the lack of cataloguing skills, lack of quality of the records and lack of use of standards related to RDA adoption. Another major issue for many libraries involves capacity, such as continuous training for cataloguers, incomplete data on the records, poor OPAC retrieval, different challenges of cataloguing non-roman scripts and use of the cataloguing standards (Monyela, 2020; Monyela, 2019; El-Sherbini, 2018; Beall and Kafador, 2002; Ndumbaro, 2017; Ndungu, 2017; Cabonero and Dolendo, 2013; Snow, 2011; Yusuf, 2009; Hill, 2008). Other problems in cataloguing directly affect the OPAC user interface.…”

Section: Incorporating New Technologiesmentioning

confidence: 99%

In the evolving digital environment: is cataloging lagging behind?

Monyela

2022

LHTN

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Purpose The purpose of this paper is to suggest that cataloguing departments and agencies could benefit from Fourth Industrial Revolution and advanced technologies. Design/methodology/approach A desk research based on literature review extracted from different information sources. Literature was interpreted based on the search of the researcher on key concepts of the topic. Findings Literature indicates new trends in cataloguing and how technologies could be incorporated into cataloguing. Practical implications This study can inform policies on artificial intelligence adoption in cataloguing. Originality/value The 4IR and artificial intelligence does not often occur in cataloguing literature. Linking 4IR and advanced technologies, artificial intelligence and robotic science in cataloguing could inform policies and practice in cataloguing.

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Section: Incorporating New Technologiesmentioning

confidence: 99%

In the evolving digital environment: is cataloging lagging behind?

Monyela

2022

LHTN

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“…Libraries have long been concerned with the quality and consistency of item representation in their catalogues and have been documenting analyses of metadata quality (e.g., Mason, 2007;Hider and Tan, 2008;Hill, 2008). With the move to digital media, this trend has continued to digital library holdings for digitised materials and born-digital objects under the auspices of various cultural heritage institutions.…”

Section: Literature Reviewmentioning

confidence: 99%

Exploring the utility of metadata record graphs and network analysis for metadata quality evaluation and augmentation

Phillips

Zavalina

Tarver

2020

IJMSO

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Our study explores the possible uses and effectiveness of network analysis, including Metadata Record Graphs, for evaluating collections of metadata records at scale. We present the results of an experiment applying these methods to records in the University of North Texas (UNT) Digital Library and two sub-collections of different compositions: the UNT Scholarly Works collection, which functions as an institutional repository, and a collection of architectural slide images. The data includes count-and value-based statistics with network metrics for every Dublin Core element in each set. The study finds that network analysis provides useful information that supplements other metrics, for example by identifying records that are completely unconnected to other items through the subject, creator, or other field values. Additionally, network density may help managers identify collections or records that could benefit from enhancement. We also discuss the constraints of these metrics and suggest possible future applications.

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“…How best to incorporate quality bibliographic description into a library's catalog has been a topic of discussion in literature for decades. 1 In 2008, Cataloging and Classification Quarterly devoted an entire special issue to the topic. 2 High-quality bibliographic description is generally defined as accurate, usable, complete, and consistent.…”

Section: Literature Reviewmentioning

confidence: 99%

Notes on Operations: Using Automation and Batch Processing to Remediate Duplicate Series Data in a Shared Bibliographic Catalog

Dong¹,

Glerum²,

Fenichel³

2017

LRTS

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The application of divergent local practices in a shared bibliographic database can result in unexpected display issues that adversely affect user experience. This is especially problematic when merging databases from multiple institutions accustomed to adopting local practices for their own constituents. The authors describe their experience with the application of automation tools, such as MarcEdit, Excel, and Python, during a large-scale remediation project. They used these tools to analyze, compare, and batch process bibliographic records to remediate obsolete and redundant series data in their shared bibliographic database.

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Is It Worth It? Management Issues Related to Database Quality

Cited by 9 publications

References 0 publications

In the evolving digital environment: is cataloging lagging behind?

In the evolving digital environment: is cataloging lagging behind?

Exploring the utility of metadata record graphs and network analysis for metadata quality evaluation and augmentation

Notes on Operations: Using Automation and Batch Processing to Remediate Duplicate Series Data in a Shared Bibliographic Catalog

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