[目的/意义]科学数据保存是科学数据共享利用的前提,是科学数据高质量、高效率服务的基础。[方法/过程]文章在调研国内外理论研究和实践进展的基础上,根据影响科学数据保存的因素遴选出一批指标,再通过专家调查法对指标体系进行完善,构建“面向科学数据保存的科学数据评价指标体系”,指标体系包含“法定因素”“重用价值”“数据可靠性”等8个一级指标,“法律要求”“特殊学术价值”“数据准确性”等32个二级指标。最后,运用层次分析法对指标权重进行测算。[结果/结论]文章为中国科学数据管理工作提出积极推动科学数据管理立法,提升科研水平、规范学术伦理、提高科学数据质量,发展数据存储与安全技术、推动科学数据共享与长期保存等3条建议。
Abstract
[Purpose/Significance] Scientific data preservation is the premise of scientific data sharing and utilization, also is the basis of high-quality and efficient service of scientific data. [Method/Process] On the basis of investigating the progress of theoretical research and practice at home and abroad, this paper selects a number of indicators according to the factors that affect the preservation of scientific data, and then improves the index system by the method of expert investigation. "Scientific data evaluation index system for scientific data preservation" is constructed. The index system includes eight first-level indicators, such as "legal factors", "reuse value", and "data reliability". There are 32 secondary indicators, such as "legal requirements", "special academic value", and "data accuracy". Finally, the analytic hierarchy process is used to calculate the index weight. [Results/Conclusions] This paper puts forward three suggestions for scientific data management in China, such as actively promoting the legislation of scientific data management, improving the level of scientific research, standardizing academic ethics and improving the quality of scientific data, developing data storage and security technology, and promoting scientific data sharing and long-term preservation.
关键词
科学数据保存 /
科学数据评价 /
评价指标体系 /
指标权重 /
层次分析法
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Key words
scientific data preservation /
scientific data evaluation /
evaluation index system /
index weight /
analytic hierarchy process(AHP)
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