|国家预印本平台
首页|面向开放应用的生物医学大数据分类研究

面向开放应用的生物医学大数据分类研究

Research on the Classification of Biomedical big Data for Open Applications

中文摘要英文摘要

目的/意义:本研究旨在探索一种面向开放应用的生物医学大数据分类方法,以提高数据管理效率和数据安全,促进数据开放共享与再利用。方法/过程:采用文献研究法和焦点小组讨论法,总结归纳面向开放应用的数据分类目的、原则及分类维度,然后采用线面结合的方法构建生物医学大数据分类体系,并提出分类实施的关键步骤。结果/结论:研究提出了生物医学大数据分类的目标,从数据特征、安全管理需求和共享应用三个维度构建了包含学科归属、重要程度、可共享性等在内的综合分类体系,提出了生物医学大数据分类实施包括需求分析与规划、数据资源梳理等步骤,有助于提高数据的管理效率和安全管理,促进数据开放共享与再利用。

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.

张晓宇、马玉环、赵远志、罗葳、张胜发、周伟

10.12201/bmr.202411.00082

生物科学研究方法、生物科学研究技术计算技术、计算机技术

生物医学大数据数据分类开放应用数据安全

: Biomedical Big Dataata ClassificationOpen Sharingata Security

张晓宇,马玉环,赵远志,罗葳,张胜发,周伟.面向开放应用的生物医学大数据分类研究[EB/OL].(2024-08-27)[2025-08-18].https://www.biomedrxiv.org.cn/article/doi/bmr.202411.00082.点此复制

评论