图书馆杂志

图书馆杂志 ›› 2020, Vol. 39 ›› Issue (9): 70-77.

• 工作研究 • 上一篇    下一篇

我国多学科领域数据出版质量控制最佳实践研究

涂志芳 刘兹恒   

  • 出版日期:2020-09-17 发布日期:2020-09-17
  • 作者简介:涂志芳 女,中国科学院成都文献情报中心、中国科 学院大学博士研究生,中国科学院文献情报中心馆 员。研究方向:信息资源建设、科学数据管理。作者 贡献:提出论文选题与研究思路,撰写论文、修改论 文。E-mail:tuzhf@mail.las.ac.cn 北京 100190 刘兹恒 北京大学信息管理系教授、博士生导师。研 究方向:信息资源建设。作者贡献:论文指导与提出 修改意见。 北京 100871

A Research on the Best Practices of Multidisciplinary Data Publishing Quality Control in China

Tu Zhifang, Liu Ziheng   

  • Online:2020-09-17 Published:2020-09-17

摘要: 我国数据管理与共享已经广泛开展并取得实质性进展,在数据出版及其质量控制方面也涌现了一些有效的做法并积累了良好的经验,值得作为最佳实践加以分析和推介。文章以科学性质量和技术性质量为两个方面,技术、科学及管理与传播层面的质量控制为3个维度,对我国多个学科领域数据中心的质量控制最佳实践进行研究。研究发现,建设元数据模型、制定标准规范和质量控制体系、发布详细的数据评审指南是进行科学与技术维度的数据质量控制的有效办法;数据中心注册、被认证、被索引也是其质量控制成效的直观表现,在数据共享与利用阶段引导用户进行合理使用有利于提升管理与传播维度的数据出版整体质量。对比国内外数据出版质量控制最佳实践特点,未来还需要对数据出版相关的知识产权、权益分配、学术评价、质量控制等问题进行深入探索,助力我国数据共享与出版可持续发展。

Abstract: Data management and sharing have been widely conducted and made substantial progress in China. The best practices of data publishing and quality control are worth analyzing. Based on scientific quality and technical quality, from the perspectives of peer review, technical review, and curatorial review, this paper analyzed best practices of quality control of several multi-disciplinary data repositories and centers in China. The analysis showed that building metadata models, developing standards and quality control systems, and releasing detailed data review guidelines are effective ways to control data quality from the scientific and technical perspective. Additionally, registration, certification, and being indexed by databases are the intuitive indicators of quality control. Furthermore, providing users with guidance on “Fair Use” at the stage of data sharing and communication is conducive to improving overall data quality control from the perspectives of data management and dissemination. Comparing the best practices of data publishing quality control at home and abroad, it is necessary to conduct in-depth explorations on issues in the future, such as intellectual property rights, rights distribution, metrics, and quality assurance and quality control related to data publishing, so as to achieve sustainable development of data sharing and publishing in China.