Trump cards: When Web of Science meets Harvard Law Review

In the scientific community and among various evaluators, Web of Science is regarded as a leading and reliable data source. Given the distinctive features of legal publishing, the metadata quality of law journals in Web of Science may be seriously affected which hinders the reliability of literature retrieval, research evaluation and ranking. Focusing on this under-explored topic, this study identifies a significant proportion of metadata issues in the two ‘Trump Cards’ meet scenario. Specifically, the established Web of Science meets the leading journal Harvard Law Review, which contrasts with the low rates of metadata defects reported in previous studies. Four representative scenarios are identified: mis-indexing of non-Harvard Law Review records, omission of a large proportion of published records, inconsistent assignment of document types for similar content and inaccurate identification of authors’ names. This study not only highlights the serious metadata issues of a leading law review within the Web of Science for the scientific community, evaluators and database providers, but also probes the possible causes and potential impacts. Several recommendations are proposed to enhance the metadata quality of legal journals in Web of Science.

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Publication Details

Journal
Journal of Information Science
Published
2026-03-04
DOI
https://doi.org/10.1177/01655515261421186
Primary Topic
Research Data Management Practices
Type
article
Field-Weighted Citation Impact
0.00
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article

Trump cards: When Web of Science meets Harvard Law Review

Hui Li, Peicheng Wu
Journal of Information Science
Research Data Management Practices
article

Trump cards: When Web of Science meets Harvard Law Review

Hui Li, Peicheng Wu
article en

Abstract

In the scientific community and among various evaluators, Web of Science is regarded as a leading and reliable data source. Given the distinctive features of legal publishing, the metadata quality of law journals in Web of Science may be seriously affected which hinders the reliability of literature retrieval, research evaluation and ranking. Focusing on this under-explored topic, this study identifies a significant proportion of metadata issues in the two ‘Trump Cards’ meet scenario. Specifically, the established Web of Science meets the leading journal Harvard Law Review, which contrasts with the low rates of metadata defects reported in previous studies. Four representative scenarios are identified: mis-indexing of non-Harvard Law Review records, omission of a large proportion of published records, inconsistent assignment of document types for similar content and inaccurate identification of authors’ names. This study not only highlights the serious metadata issues of a leading law review within the Web of Science for the scientific community, evaluators and database providers, but also probes the possible causes and potential impacts. Several recommendations are proposed to enhance the metadata quality of legal journals in Web of Science.

Journal of Information Science
Zhejiang Lab (CN), Zhejiang University (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 47%
Research Data Management Practices
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