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管理数据的完整性:确保实验室数据准确性和质量的政策与程序。

Managing data for integrity: policies and procedures for ensuring the accuracy and quality of the data in the laboratory.

作者信息

Pascal Chris B

机构信息

Department of Health and Human Services, 1100 Wootton Parkway, Suite 750, Tower Building, Rockville, MD 20852, USA.

出版信息

Sci Eng Ethics. 2006 Jan;12(1):23-39. doi: 10.1007/pl00022266.

Abstract

Management of the research data is an extremely important responsibility of the Principal Investigator (PI) and other members of the research team. Without accurate data, no worthwhile conclusions can be drawn from the research study. Integrity in data management is critical to the success of the research group and to public trust in the research outcomes. One of the primary responsibilities of the PI is to provide proper training to the junior members of the lab. This effort can be buttressed by institutional data policies that are implemented at the group level. Extensive and frequent guidance in good research practices by the PI and other senior research staff is critical to the proper training of new scientists.

摘要

研究数据的管理是首席研究员(PI)和研究团队其他成员的一项极其重要的职责。没有准确的数据,就无法从研究中得出有价值的结论。数据管理的完整性对于研究团队的成功以及公众对研究结果的信任至关重要。PI的主要职责之一是为实验室的初级成员提供适当的培训。在团队层面实施的机构数据政策可以支持这一工作。PI和其他资深研究人员对良好研究实践进行广泛且频繁的指导对于新科学家的适当培训至关重要。

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