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人类研究对象的数据管理概述研究对象的数据管理概述
Andrew G Miller1, David Lipscomb2, Chi Hornik3
1Division of Pediatric Critical Care Medicine, Duke University Medical Center, Durham, North Carolina; and Respiratory Care Services, Duke University Medical Center, Durham, North Carolina. Andrew.g.miller@duke.edu.
Respiratory care
|October 24, 2023
概括
有效的数据管理对于研究至关重要,特别是与人类受试者. 本次审查涵盖数据收集,安全,存储和监管合规性,以实现强大的数据管理.
科学领域:
- 数据科学数据科学数据科学
- 研究方法研究方法研究方法学
- 信息治理 信息治理
背景情况:
- 研究研究产生各种数据类型,包括定量和定性信息.
- 由于隐私问题,保护敏感数据,特别是来自人类受试者的数据,至关重要.
- 遵守法规和机构政策对于数据安全和伦理研究行为至关重要.
研究的目的:
- 提供对研究中基本数据管理实践的全面概述.
- 突出数据收集,安全和分析的关键考虑因素.
- 强调数据管理计划对于有效的研究管理的重要性.
主要方法:
- 对数据收集工具和技术的审查.
- 分析数据安全策略和最佳实践.
- 检查文件管理,数据存储和格式指南.
- 讨论相关的政府法规和合规要求.
- 探索数据准备用于分析和参考管理.
主要成果:
- 数据管理包括从收集到分析的广泛活动.
- 强有力的数据安全措施和遵守法规对于保护敏感信息至关重要.
- 精确定义的数据管理计划有助于有效和道德的研究行为.
结论:
- 有效的数据管理是研究结果的完整性和可重复性的组成部分.
- 实施全面的数据管理策略可以确保数据安全,隐私和合规性.
- 适当规划和执行数据管理对于成功的研究成果至关重要.
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