Research on Scientific Data Management in Big Data Era
Authors: 
Rui Man, Guomin Zhou, Jingchao FanAuthors Info & Claims
Rui Man, Guomin Zhou, Jingchao FanAuthors Info & ClaimsArticle No.: 32, Pages 1 - 6
Abstract
Scientific data is an important strategic resource in the era of big data. Efficient management and wide circulation are the key ways to enhance the value of scientific data resources. With the transformation of the industrial society into the information society, the importance of scientific data management is also increasing all over the world, which continuously promotes the maturity of scientific data management and sharing. In this article, through comprehensive research of scientific data management ideas, policies, practices and results, the analysis summarizes the advanced experience of international scientific data management, for the similar problems and challenges existing in the research in China, puts forward the future a period of time the direction and suggestions on the development of scientific data management: 1. the specification of various kinds of degree of the standardization of scientific data resources; 2. To strengthen data mining capacity; 3. To strengthen the cultivation of talents in data science; 4. To strengthen international cooperation and enhance core competitiveness in the big data era.
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Published In
October 2020
1038 pages
ISBN:9781450377720
DOI:10.1145/3424978
- Conference Chair:
- Ali Emrouznejad,
- Program Chair:
- Jui-Sheng Rayson Chou
Copyright © 2020 ACM.
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Association for Computing Machinery
New York, NY, United States
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Published: 20 October 2020
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CSAE 2020
CSAE 2020: The 4th International Conference on Computer Science and Application Engineering
October 20 - 22, 2020
Sanya, China
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CSAE '20 Paper Acceptance Rate 179 of 387 submissions, 46%;
Overall Acceptance Rate 368 of 770 submissions, 48%
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