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DOMAS: a data management software framework for advanced light sources.

Hao Hu1, Lei Lei2, Haofan Wang3

  • 1University of Science and Technology of China, Hefei, Anhui 230026, People's Republic of China.

Journal of Synchrotron Radiation
|February 1, 2024
PubMed
Summary
This summary is machine-generated.

China's advanced light sources generate massive data, posing challenges. Data Organization Management Access Software (DOMAS) offers a framework for efficient data storage, metadata handling, and access, streamlining operations at facilities like HEPS and BSRF.

Keywords:
data managementdata servicedata transfermetadata catalogue

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Area of Science:

  • Synchrotron Radiation
  • Particle Accelerators
  • Big Data Management

Background:

  • Rapid development of advanced light sources in China leads to exponential data growth.
  • Modern X-ray detectors and data acquisition technologies exacerbate data management challenges.
  • Existing data management solutions are insufficient for the scale of data generated by new facilities.

Purpose of the Study:

  • To introduce a novel framework, Data Organization Management Access Software (DOMAS), designed to address data management challenges at advanced light source facilities.
  • To present the architecture, components, and functionalities of the DOMAS framework.
  • To evaluate the effectiveness and application progress of DOMAS in real-world scenarios.

Main Methods:

  • Development of a modular data management framework (DOMAS) encompassing metadata catalogue, acquisition, data transfer, and data service modules.
  • Parameter configuration and minimal code development approach for system implementation.
  • Deployment and testing of DOMAS at the High Energy Photon Source (HEPS) and Beijing Synchrotron Radiation Facility (BSRF).

Main Results:

  • DOMAS effectively addresses critical data management issues including storage, metadata handling, transfer, and user access.
  • The framework simplifies the process of building data management systems for light source facilities.
  • Successful application and positive effectiveness demonstrated at HEPS and BSRF.

Conclusions:

  • DOMAS provides a robust and adaptable solution for managing the massive data generated by advanced light sources.
  • The framework's modular design and ease of implementation facilitate its adoption across different facilities.
  • DOMAS is crucial for maximizing the scientific output and operational efficiency of China's developing light source infrastructure.