A Research on the Classification of Biomedical big Data for Open Applications

Corresponding author: zhou wei, zhouwei_ncmi@126.com

DOI: 10.12201/bmr.202411.00082

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  Abstract: Objective /Significance: The aim of this study is to explore a biomedical big data classification method oriented towards open applications, to improve data management efficiency and security, and to facilitate the open sharing and reuse of data. Method/Process: Using literature research and focus group discussions, this study summarized and generalized the purposes, principles, and dimensions of data classification for open applications. Using a combination of linear and planar classification methods, a biomedical big data classification system was established. Key steps for the implementation of classification were proposed in the end. Results/ Conclusions: The study proposed objectives for the classification of biomedical big data, constructing a comprehensive classification system that includes dimensions such as subject affiliation, importance, and shareability, which encompasses characteristics, security management needs, and sharing applications. The study also proposed steps for implementing the classification of biomedical big data, including requirement analysis and planning, and data resource organization, which helps to improve the management efficiency and security management of data, and promotes the open sharing and reuse of data.

  Key words: : Biomedical Big Data; Data Classification; Open Sharing; Data Security

  Submit time: 29 November 2024

  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	2024-08-28	bmr.202411.00082V1	Download

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