| 李骐安,孟宪飞,张书华,张璐,张蓓,窦天芳.基于FAIR原则的中国科学数据资源现状分析及启示[J].数字图书馆论坛,2023,(1):50~57 |
| 基于FAIR原则的中国科学数据资源现状分析及启示 |
| Status Analysis and Implications of Scientific Data Resources in China Based on FAIR Principles |
| 投稿时间：2022-11-25 |
| DOI：10.3772/j.issn.1673-2286.2023.01.007 |
| 中文关键词: 开放科学；科学数据；科学数据仓储；FAIR原则；中国 |
| 英文关键词: Open Science; Scientific Data; Scientific Data Repository; FAIR Principles; China |
| 基金项目: |
| 作者 | 单位 | | 李骐安 | 清华大学图书馆 | | 孟宪飞 | 清华大学科研院 | | 张书华 | 清华大学图书馆 | | 张璐 | 清华大学图书馆 | | 张蓓 | 清华大学图书馆 | | 窦天芳 | 清华大学图书馆 |
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| 中文摘要: |
| 为推动开放科学实践，促进科学数据共享与重用，选取re3data、FAIRsharing和Data Citation Index这3个国际主要科学数据仓储（SDR）注册和发现平台作为主要数据源，开展中国科学数据资源现状与国外的对比分析，发现我国有国际影响力的SDR数量与科学数据集的体量不匹配，包括我国在内的各国科学数据集的传播共享主要依靠欧美国家的SDR；基于FAIR原则分析我国典型SDR面临的挑战，结果表明，我国的国家科学数据中心在数据和元数据的可发现性、可访问性方面受到数据标识符分配不足和无法正常解析的影响。在数据和元数据的可交互性和可重用性方面，存在引用信息和使用说明不完整、不清晰等问题，阻碍数据的传播和共享。国际组织和机构的典型经验与举措为我国的科学数据管理提供了启示。基于此，未来我国可以通过开展对FAIR原则的政策支持和规范实施，提高我国科学数据资源的开放共享水平。 |
| 英文摘要: |
| To promote open science in practice as well as scientific data sharing and reuse, three registries of scientific data repositories (SDRs), namely re3data, FAIRsharing and Data Citation Index, are employed as the main data sources to carry out a comparative analysis of the current status of scientificdata resources in China and abroad. We also analyze the challenges faced by typical SDRs in China based on FAIR principles. The number of SDRs with international impacts in China is mismatched with scientific datasets, and the dissemination and sharing of scientific datasets from various countries, including China, mainly rely on SDRs in European and American countries. The findability and accessibility of scientific data and metadata in national scientific data centers in China are affected by the insufficient allocation of data identifiers and the inability to resolve these identifiers properly. In terms of the interoperability and reusability of scientific data and metadata, there are several challenges such as incomplete and inexplicit citation information and usage instructions, which impede the dissemination and sharing of scientific data. The representative experiences and initiatives of international organizations and institutions provide insights for scientific data management in China. By conducting the policy support and regulatory implementation of FAIR principles so as to improve the level of open sharing of scientific data resources in China. |
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