首页|期刊导航|医学信息|生物样本信息资源大数据科研平台的科研数据集成流程规范化管理体系构建及应用效果

生物样本信息资源大数据科研平台的科研数据集成流程规范化管理体系构建及应用效果OA

Construction and Application of a Standardized Management System for Research Data Integration in a Biological Sample Information Resources Big Data Platform

中文摘要英文摘要

本文聚焦临床科研数据管理现存核心问题,依托生物样本及临床大数据平台,探索规范化数据集成流程管理策略.通过分析当前数据管理现状、结合大数据平台特性,设计形成一套包含需求提出、数据集成尝试、需求确认、多级审核、执行与反馈等关键环节的标准化管理流程.经实践验证,该流程可显著提升数据集成效率,有效保障数据质量,并严格遵循伦理规范,满足了临床科研对数据管理的核心需求.总之,基于生物样本及临床大数据平台的规范化数据集成流程,在提升效率、保障质量、严守伦理方面有明显优势,是有效的实践方案,可为临床科研提供可靠的数据保障.

This paper focuses on the existing core problems of clinical research data management,and explores the standardized data integration process management strategy based on biological samples and clinical big data platform.By analyzing the current status of data management and combining the characteristics of big data platform,a set of standardized management processes including requirements,data integration attempts,requirements confirmation,multi-level audit,execution and feedback are designed and formed.It has been proved by practice that the process can significantly improve the efficiency of data integration,effectively guarantee the quality of data,and meet the core needs of clinical research for data management by strictly following the ethical norms.In a word,the standardized data integration process based on biological samples and clinical big data platform has obvious advantages in improving efficiency,ensuring quality and adhering to ethics.It is an effective practical scheme and provides reliable data guarantee for clinical scientific research.

刘辉;高娟娟;王亚文

西安交通大学第一附属医院生物样本信息资源中心,陕西 西安 710061西安交通大学第一附属医院生物样本信息资源中心,陕西 西安 710061西安交通大学第一附属医院生物样本信息资源中心,陕西 西安 710061

医药卫生

临床大数据平台数据集成流程规范化数据安全

Clinical big data platformData integrationProcess standardizationData security

《医学信息》 2026 (14)

34-38,5

1.陕西省重点研发计划项目(编号:2023-YBSF-207)2.陕西省重点研发计划一般项目(编号:2022SF-058)

10.3969/j.issn.1006-1959.2026.14.005

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