| 张文萍,宋秀芬,魏银珍,李立睿.基于FAIR标准的科学数据融合体系研究[J].中国图书馆学报,2020,46(6):41~54 |
| 基于FAIR标准的科学数据融合体系研究 |
| FAIR-based Framework for Scientific Data Harmonization |
| 投稿时间：2019-12-28 修订日期：2020-05-08 |
| DOI： |
| 中文关键词: 科学数据 融合体系 数据对象 FAIR |
| 英文关键词: Scientific data Harmonization ecosystem Data objects FAIR |
| 基金项目:本文系国家自然科学基金青年项目“移动学术社区科研用户微知识持续协作行为及协同创新机制研究”（编号:71804153）和武汉科技大学人文社科高水平培育项目“知识网络的语义结构与社会结构的共演化研究”（编号:W201709）的研究成果之一 |
|
| 摘要点击次数: 1001 |
| 全文下载次数: 757 |
| 中文摘要: |
本文在分析科学数据FAIR标准——可发现、可访问、可互操作、可重用的基础上,阐述这四项标准在实现条件上的依次递进、包含与被包含的层级关系,以此形成从低到高、包含四个层次的科学数据融合体系。基于这个层次结构,分别从“技术基础”以及“研究文化和数据管理制度”两方面探讨实现科学数据融合的体系架构,包括数据描述模型、数据服务模型,以及为规范数据融合实施过程和步骤而必需的数据管理计划、实施标准和评价体系。该体系架构可为实现跨组织、跨系统环境下的科学数据融合提供多层面的参考和借鉴。图4。表1。参考文献20。
|
| 英文摘要: |
Scientific data curation activities have started to realize the reuse of scientific data since decades ago and thus enhance the value of scientific data utility. However,there is no systematic and comprehensive summarization of the scientific data governance and effective use of scientific data. The architecture developed in this study integrating existing implementable solutions or proposing new ones from multiple levels is to clarify the multi level problems that need to be solved in the process of scientific data governance from a global perspective,with the purpose to assist in scientific data curation and governance.
In order to achieve this goal,this study takes the FAIR principles（Findable,Accessible,Interoperable,Reusable）as scientific data curation basis and developed Scientific Data Harmonization System accordingly,which consists of a four tier stacked structure with each consisting of specific requests of scientific data respectively,based on the explicit analysis of the relationships between four sub items of the FAIR principles,which embodies related internal linkages and dependency. Based on this systematic framework,as well as the outcomes of implementation,management and research activities imposed on the field of scientific data management to achieve or promote the achievement of scientific data management,this study first explores the data description model which is necessary for the fairlization of scientific data and optimization and improvement of the data service model from the technical perspective,and then discusses the data management plan and various standards and evaluation metrics that should be followed during the implementation of the data fairlization from the perspective of research culture and data management system; finally we discuss various environmental factors that may affect the implementation of data fairlization from the perspective of the external environment.
Besides functionalizing in data fairlization,the proposed system framework maybe be used to improve the operational practice of scientific data management for the departments of scientific research management and researchers from different domains; it can also be used in other data management fields,such as social media,national public service departments etc. In addition,practically,this study may be served as reference for the construction of regional or disciplinary open platforms for sharing scientific data.
The limitation of this study is that the investigation of the research basis for establishing framework of Scientific Data Harmonization System is not comprehensive enough,thus the resulted structure is relatively abstract and with less detailed practical procedures. Our later research work will focus on this direction to specify the operable procedures for each levels of data curation within the system. Meanwhile,the optimization and implementation of service models,and the impact of various other environmental and cultural factors on the integration of scientific data in the process of scientific data management are also on our research schedule. 4 figs. 1 tab. 20 refs.
|
|
查看全文
查看/发表评论 下载PDF阅读器 |
|
|
|
