高能同步辐射光源科学数据管理策略研究与应用

doi:10.11959/j.issn.2096-0271.2022001

Abstract

Abstract:

Combining with the problems of scientific data management and data opening and sharing at high energy photon source (HEPS), the necessity and importance of scientific data policy research for synchrotron radiation facilities which serve as public experiments platforms were illustrated at first.Secondly, the status of data policy research for domestic synchrotron radiation facilities was analyzed according to the research progress of the data policy for other countries.Thirdly, the content of HEPS data policy was expounded in focus.Fourthly, problems and some thought during the research were summarized.Finally, the research progress and the application examples of HEPS data policy were introduced, and the prospect to the data policy research for synchrotron radiation facilities in the future was proposed.

Key words: scientific data, data policy, data management, opening and sharing, high energy photon source

CLC Number:

TP39

Hao HU, Fazhi QI, Xiaokang SUN, Qi LUO. HEPS scientific data management policy research and applications[J]. Big Data Research, 2022, 8(1): 5-14.

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[1]	齐法制, 陈刚, 程耀东 . 建立权责明晰且能力健全的科学数据开放共享机制——以高能物理领域为例[J]. 中国科学基金, 2019,33(3): 229-236.
	QI F Z , CHEN G , CHENG Y D . Platform of science data open access and sharing:science data management and sharing for high energy physics[J]. Bulletin of National Natural Science Foundation of China, 2019,33(3): 229-236.
[2]	国务院办公厅. 科学数据管理办法[Z]. 2018.
	General Office of the State Council. Scientific data management measures[Z]. 2018.
[3]	中国科学院. 中国科学院科学数据管理与开放共享办法（试行）[Z]. 2019.
	Chinese Academy of Sciences. Measures for the management and open sharing of scientific data of Chinese Academy of Sciences (trial)[Z]. 2019.
[4]	李爱君 . 论数据权利归属与取得[J]. 西北工业大学学报(社会科学版), 2020,40(1): 89-98.
	LI A J . On the attribution and acquisition of data rights[J]. Journal of Northwestern Polytechnical University (Social Sciences), 2020,40(1): 89-98.
[5]	European Synchrotron Radiation Facility Council. The ESRF data policy[S]. 2015.
[6]	MAX IV Laboratory. Experimental data policy[Z]. 2017.
[7]	Paul Scherrer Institute. Data policy for PSI research data[Z]. 2016.
[8]	European X-Ray Free-Electron Laser Facility Council. Scientific data policy of European X-ray free-electron laser facility GmbH[Z]. 2017.
[9]	章宇, 袁海波, 王燕平 ,等. 时间频率科学数据管理控制与应用[J]. 大数据, 2021,7(6): 120-127.
	ZHANG Y , YUAN H B , WANG Y P ,et al. Management control and application of the time-frequency scientific data[J]. Big Data Research, 2021,7(6): 120-127.

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