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Scientific Data Evaluation Index System for Scientific Data Preservation
by
MENG Yintao, ZHAO Leixia, YU Qianqian
in
scientific data preservation|scientific data evaluation|evaluation index system|index weight|analytic hierarchy process(ahp)
2021
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Scientific Data Evaluation Index System for Scientific Data Preservation
by
MENG Yintao, ZHAO Leixia, YU Qianqian
in
scientific data preservation|scientific data evaluation|evaluation index system|index weight|analytic hierarchy process(ahp)
2021
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Scientific Data Evaluation Index System for Scientific Data Preservation
Journal Article
Scientific Data Evaluation Index System for Scientific Data Preservation
2021
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Overview
[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.
Publisher
Editorial Department of Journal of Library and Information Science in Agriculture
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