数据论文的同行评审机制研究  

Examining the Peer Review Mechanism for Data Paper

作　　者：屈亚杰 黄国彬 Qu Yajie;Huang Guobin(Library of Beijing Dance Academy;Department of Information Management,Peking University;Peking University Publishing Research Institute)

机构地区：[1]北京舞蹈学院图书馆,北京100081 [2]北京大学信息管理系,北京100081 [3]北京大学出版研究院,北京100081

出　　处：《图书馆杂志》2025年第3期82-94,共13页Library Journal

基　　金：国家社会科学基金重点项目“开放科学视野下新型学术出版物的著作权保护与共享机制研究”(项目编号:22ATQ003)的阶段性研究成果之一。

摘　　要：开展数据论文的同行评审机制研究,一方面能够为数据论文的质量提升和学术交流提供有力保障,另一方面也有助于丰富和发展同行评审的理论体系。本文采用网络调研法,选取10种代表性数据期刊所发布的同行评审指南,从同行评审的主体、方式、流程、内容等4个角度探析国外数据期刊关于数据论文的同行评审机制,研究发现:数据论文同行评审机制具有4个特点,即评审主体专业性、评审方式多样性、评审过程开放性、评审内容全面性。为我国数据论文评审带来5点启示:明确评审原则、重视评审内容的全面性、优化评审专家选择方式、鼓励开放式同行评审、规范评审流程。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.

关 键 词：数据论文 数据共享 同行评审 评审机制 

分 类 号：F42[经济管理—产业经济]