| 熊泽润 宋立荣.科学数据出版中同行评议的问题思考[J].中国科技资源导刊,2022,(5):21~29 |
| 科学数据出版中同行评议的问题思考 |
| Thinking about Peer Review in Scientific Data Publishing |
| 投稿时间：2022-06-09 |
| DOI： |
| 中文关键词: 科学数据出版；同行评议；数据论文；数据期刊；数据质量 |
| 英文关键词: scientific data publishing, peer review, data papers, data journal, data quality |
| 基金项目:北京市教委社科计划重点项目“开放共享驱动的科学数据出版：动因、模式和途径”（SA20211147022） |
| 作者 | 单位 | | 熊泽润 宋立荣 | （北京联合大学应用文理学院，北京 100191） |
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| 摘要点击次数: 328 |
| 全文下载次数: 261 |
| 中文摘要: |
| 在科学数据出版中，同行评议是保证数据和数据论文质量的重要手段之一。研究科学数据出版同行评议过程，可为国内科学数据出版建设发展提供帮助，提高出版的数据质量，促进科学数据的开放共享。首先对国内外6个典型的数据出版期刊进行调研，然后介绍其同行评议的基本过程和存在的问题，最后提出相应的对策建议。研究发现，目前科学数据出版中同行评议在标准体系、专家选择、同行评议方式和模式、数据获取与理解等方面还存在一些问题，因此提出要加快科学数据出版同行评议标准体系和机制的建设、加强同行评议专家培训及激励政策、引入社区同行评审和出版后评审、开发数据出版期刊自有稿件编辑器及审查工具等对策建议，以进一步完善科学数据出版同行评议的流程和规范。 |
| 英文摘要: |
| The peer review is one of the important means to ensure the quality of data and data papers for the scientific data publishing. Research on the peer review process of scientific data publishing can provide help for the construction and development of domestic scientific data publishing, improve the quality of published data, and promote the open sharing of scientific data. This paper is selected six typical data publishing journals at home and abroad for research, introduced the basic process and existing problems of peer review in detail, and put forward corresponding countermeasures and suggestions on this basis. It was found that there are still some problems in the standard system, expert selection, peer review methods and models, data acquisition and understanding of peer review in the current scientific data publishing. The paper proposed some suggestions, such as: speed up the construction of the standard system and mechanism of peer review in scientific data publishing, strengthen the training and incentive policies for peer review experts, introduce community peer review and post publication review, and develop own manuscript editors and review tools of data publishing journals, to further improve the process and norms of peer review of scientific data publishing, and so on. |
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