Construction of a Biosafety Big Data Standard System Framework Based on the Delphi Method

Corresponding author: wangsongwang, wangsw@chinacdc.cn

DOI: 10.12201/bmr.202505.00031

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  Abstract: Purpose/Significance This study aims to establish a framework for the biosafety big data standard system, providing technical reference and guidance for the development of related standards, enabling full-lifecycle governance of biosafety big data, and further enhancing the capability of data value discovery. Method/Process The literature analysis method was used to the indicator pool for the biological safety big data standard system framework, the three-dimensional structure method was employed to preliminarily construct the standard system framework, and the Delphi method was used for optimization and refinement. Results/Conclusion The research proposes a framework for a biological safety big data standard system, dividing the standards into seven major categories at the primary level, and 26 sub-categories at the secondary level. It strengthens the top-level design of biological safety big data standards, providing a reference for the development of biological safety big data standards.

  Key words: Biosafety; Big Data; Delphi; Standard System

  Submit time: 21 May 2025

  Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity.
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  1	2025-03-06	bmr.202505.00031V1	Download

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