图书情报工作

图书情报工作 >

2022 , Vol. 66 >Issue 3: 72 - 82

DOI: https://doi.org/10.13266/j.issn.0252-3116.2022.03.009

工作研究

医学科学数据开放平台FAIR原则的应用评估与调查分析

  • 李春秋 ,
  • 杜博雅 ,
  • 耿骞 ,
  • 宋宁远 ,
  • 李子璇 ,
  • 原顺梅
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  • 1. 北京师范大学政府管理学院 北京 100875;
    2. 清华大学医院管理研究院 深圳 518055;
    3. 南京大学信息管理学院 南京 210023;
    4. 山东省科学技术情报研究院 济南 250101
李春秋,讲师,博士;杜博雅,硕士研究生;宋宁远,博士后;李子璇,本科生;原顺梅,副研究员,硕士。

收稿日期: 2021-05-20

  修回日期: 2021-09-24

  网络出版日期: 2022-02-16

基金资助

本文系中央高校基本科研业务费专项资金资助项目“基于纳米出版物模式的中文学术论文的语义组织研究”（项目编号：310422112）研究成果之一。

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Application Assessment and Survey Analysis of FAIR Principle in Medical Scientific Data Open Platforms

  • Li Chunqiu ,
  • Du Boya ,
  • Geng Qian ,
  • Song Ningyuan ,
  • Li Zixuan ,
  • Yuan Shunmei
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  • 1. School of Government, Beijing Normal University, Beijing 100875;
    2. Institute for Hospital Management, Tsinghua University, Shenzhen 518055;
    3. School of Information Management, Nanjing University, Nanjing 210023;
    4. Shandong Institute of Science and Technology Information, Jinan 250101

Received date: 2021-05-20

  Revised date: 2021-09-24

  Online published: 2022-02-16

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摘要

[目的/意义] FAIR科学数据管理原则在医学领域的应用有助于增强医学数据的可发现、交互、共享与重用。评估FAIR实施情况有利于指导医学科学数据开放平台规范元数据描述，明确溯源及共享机制，完善数据管理规范。[方法/过程] 通过借鉴Go FAIR Metric Group （GFMG）的通用框架、荷兰数据存档与网络服务DANS、欧盟Horizon 2020、澳大利亚研究数据共享组织ARDC和澳大利亚联邦科学与工业研究组织CSIRO开发的5 Star Data Rating Tool的FAIR评估框架及其指标，制定面向我国医学科学数据开放平台的FAIR原则应用评估框架。基于该框架，选定我国11个样本平台开展网络调研，从可发现（Findable）、可访问（Accessible）、可互操作（Interoperable）和可重用（Reusable）4个维度分析调研结果。最后从标识符、元数据、许可协议、词表规范、溯源描述等方面提出我国医学科学数据开放平台应用FAIR原则的建议。[结果/结论] FAIR原则在我国医学科学数据开放平台的应用有待进一步拓展，尤其是在永久性标识符的使用和遵循标准开展溯源描述方面。

关键词： FAIR原则; 评估指标; 医学数据; 科学数据管理

本文引用格式

李春秋 , 杜博雅 , 耿骞 , 宋宁远 , 李子璇 , 原顺梅 . 医学科学数据开放平台FAIR原则的应用评估与调查分析[J]. 图书情报工作, 2022 , 66(3) : 72 -82 . DOI: 10.13266/j.issn.0252-3116.2022.03.009

Abstract

[Purpose/significance] FAIR principle for scientific data management in the medical domain is helpful to facilitate the discovery, exchange, sharing and reuse of medical data. The evaluation of FAIR application is useful to guide the normalized description of metadata in the medical scientific data open platform, clarify the traceability and sharing mechanism and improve the data management specification. [Method/process] This research refered to the general framework of Go FAIR Metric Group (GFMG) and FAIR evaluation framework and indicators designed by Dutch Data Archiving and Networked Service (DANS), European Horizon 2020, Australian Research Data Commons (ARDC) and 5 Star Data Rating Tool developed by Australian Commonwealth Scientific and Industrial Research Organisation (CSIRO). Then, this study designed the application evaluation framework based on FAIR principle for medical scientific data open platforms in China. Based on the designed framework in this study, eleven platforms of China were selected as samples to conduct the online research, and research results were analyzed from four dimensions of findability, accessibility, interoperability and reusability. Finally, from the perspectives of identifiers, metadata, licence agreements, vocabulary specifications and provenance description, this paper proposed suggestions for the FAIR application of medical scientific data open platforms in China. [Result/conclusion] The application of FAIR in China medical scientific data open platforms shall be further expanded, especially the adoption of persistent identifiers and provenance description based on the standard.

Key words： FAIR principle; evaluation indicator; medical data; scientific data management

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