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An Overview of Data Management in Human Subjects Research.
Respiratory Care ( IF 2.4 ) Pub Date : 2024-01-24 , DOI: 10.4187/respcare.11578
Andrew G Miller 1 , David Lipscomb 2 , Chi Hornik 3
Affiliation  

Research studies generate data in various forms. Data can be quantitative or qualitative. Research involving human subjects requires protection of data to ensure privacy. Various regulations and local policies need to be followed to ensure data security. Data management plans are critical for effective data stewardship and include details plan on data collection, management, storage, and formatting. This paper will review data collection tools, data security strategies, file management, data storage, government regulations, prepping data for analysis, reference management, and file management.

中文翻译:


人类受试者研究数据管理概述。



研究产生各种形式的数据。数据可以是定量的或定性的。涉及人类受试者的研究需要保护数据以确保隐私。需要遵守各种法规和地方政策以确保数据安全。数据管理计划对于有效的数据管理至关重要,包括数据收集、管理、存储和格式化的详细计划。本文将回顾数据收集工具、数据安全策略、文件管理、数据存储、政府法规、准备分析数据、参考管理和文件管理。
更新日期:2023-10-24
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