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

Purpose This study furthers metadata quality research by providing complementary network-based metrics and insights to analyze metadata records and identify areas for improvement. Design/methodology/approach Metadata record graphs apply network analysis to metadata field values; this study evaluates the interconnectedness of subjects within each Hub aggregated into the Digital Public Library of America. It also reviews the effects of NACO normalization – simulating revision of values for consistency – and breaking up pre-coordinated subject headings – to simulate applying the Faceted Application of Subject Terminology to Library of Congress Subject Headings. Findings Network statistics complement count- or value-based metrics by providing context related to the number of records a user might actually find starting from one item and moving to others via shared subject values. Additionally, connectivity increases through the normalization of values to correct or adjust for formatting differences or by breaking pre-coordinated subject strings into separate topics. Research limitations/implications This analysis focuses on exact-string matches, which is the lowest-common denominator for searching, although many search engines and digital library indexes may use less stringent matching methods. In terms of practical implications for evaluating or improving subjects in metadata, the normalization components demonstrate where resources may be most effectively allocated for these activities (depending on a collection). Originality/value Although the individual components of this research are not particularly novel, network analysis has not generally been applied to metadata analysis. This research furthers previous studies related to metadata quality analysis of aggregations and digital collections in general.

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Metadata Quality Evaluation: Experience from the Open Language Archives Community

Digital Libraries: International Collaboration and Cross-Fertilization - Lecture Notes in Computer Science ◽

10.1007/978-3-540-30544-6_34 ◽

2004 ◽

pp. 320-329 ◽

Cited By ~ 11

Author(s):

Baden Hughes

Keyword(s):

Quality Evaluation ◽

Metadata Quality

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Service Quality in Tourism: A Systematic Literature Review and Keyword Network Analysis

Sustainability ◽

10.3390/su11133665 ◽

2019 ◽

Vol 11 (13) ◽

pp. 3665 ◽

Cited By ~ 4

Author(s):

Park ◽

Jeong

Keyword(s):

Network Analysis ◽

Literature Review ◽

Service Quality ◽

Systematic Literature Review ◽

Quality Evaluation ◽

Tourism Industry ◽

Critical Issues ◽

Service Quality Evaluation ◽

Keyword Network ◽

Tourism Service

The tourism industry has received increasing attention as it has become one of the fastest developing business sectors around the world. Service quality in tourism has come to be regarded as an important impetus for economic growth; however, the focus on tourism service quality has not yet been satisfactorily or comprehensively reviewed. Therefore, we conducted a systematic literature review combining bibliometric, citation network and keyword network analysis. We selected the top five tourism journals from the SCOPUS database and then collected papers according to their keywords. Our results revealed the critical issues, topics, and changes over time regarding research on tourism service quality. The critical issues included the important impact of service quality on tourist behavior and service quality evaluation, and topics comprised (1) tourist satisfaction, (2) sustainable issues in tourism, (3) value of service quality for customers, (4) restaurant service quality, (5) customers’ perceptions of tourism, (6) service quality evaluation in tourism, and (7) service quality’s influence on customer behavior. Furthermore, the keyword network analysis results revealed the most influential keywords.

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