DOMAS: a data management software framework for advanced light sources
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Published:2024-02-01
Issue:2
Volume:31
Page:312-321
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ISSN:1600-5775
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Container-title:Journal of Synchrotron Radiation
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language:
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Short-container-title:J Synchrotron Rad
Author:
Hu HaoORCID, Lei LeiORCID, Wang Haofan, Zhuang Bo, Zhang Ruojin, Luo Qi, Sun Xiaokang, Qi Fazhi
Abstract
In recent years, China's advanced light sources have entered a period of rapid construction and development. As modern X-ray detectors and data acquisition technologies advance, these facilities are expected to generate massive volumes of data annually, presenting significant challenges in data management and utilization. These challenges encompass data storage, metadata handling, data transfer and user data access. In response, the Data Organization Management Access Software (DOMAS) has been designed as a framework to address these issues. DOMAS encapsulates four fundamental modules of data management software, including metadata catalogue, metadata acquisition, data transfer and data service. For light source facilities, building a data management system only requires parameter configuration and minimal code development within DOMAS. This paper firstly discusses the development of advanced light sources in China and the associated demands and challenges in data management, prompting a reconsideration of data management software framework design. It then outlines the architecture of the framework, detailing its components and functions. Lastly, it highlights the application progress and effectiveness of DOMAS when deployed for the High Energy Photon Source (HEPS) and Beijing Synchrotron Radiation Facility (BSRF).
Funder
National Natural Science Foundation of China Informatization Plan of Chinese Academy of Sciences
Publisher
International Union of Crystallography (IUCr)
Reference21 articles.
1. Bai, Z. H., Feng, G. Y., He, T. L., Li, W., Li, W. W., Liu, G., Ren, Z. L., Wang, L., Yang, P. H., Zhang, S. C. & Zhang, T. (2021). Proceedings of the 12th International Particle Accelerator Conference (IPAC2021), 24-28 May 2021, Campinas, Brazil, pp. 407-409. MOPAB112. 2. Energy recovery linac (ERL) coherent hard x-ray sources 3. Web of Science as a data source for research on scientific and scholarly activity 4. Cano, E., Bahyl, V., Caffy, C., Cancio, G., Davis, M., Kotlyar, V., Leduc, J., Lin, T. & Murray, S. (2020). EPJ Web Conf. 245, 04013. 5. Corti, L., Van den Eynden, V., Bishop, L. & Woollard, M. (2019). Managing and Sharing Research Data: A Guide to Good Practice. Sage Publications.
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