Examining the Peer Review Mechanism for Data Paper

Abstract

Abstract:

Conducting research on the peer review mechanism for data papers can ensure the quality and academic exchange of data-driven research, as well as advance the theoretical framework of peer review. This article uses the online research method to analyze peer review guidelines published by 10 representative data journals, explores the peer review mechanism of data papers in foreign journals from four aspects: stakeholders, methods, procedures, and content. The findings highlight four main characteristics of the peer review process for data papers: specialized reviewers, diverse review methods, transparency in the review process, and comprehensive review content. Five recommendations are proposed for improving the peer review process for data papers in China: clarifying review principles, emphasizing the thoroughness of review content, optimizing the selection of peer reviewers, encouraging open peer review, and standardizing the peer review process.

Key words:

Data paper, Data sharing, Peer review, Review mechanism

Qu Yajie1, Huang Guobin2, 3 (1 Library of Beijing Dance Academy, 2 Department of Information Management, Peking University, 3 Peking University Publishing Research Institute). Examining the Peer Review Mechanism for Data Paper[J]. Libraly Journal, 2025, 44(407): 82-94.

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