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Published on: February 25, 2013
[Good Practice of Secondary Data Analysis (GPS): guidelines and recommendations]
1Institut für Sozialmedizin und Gesundheitsökonomie, Med. Fakultät, Otto-von-Guericke-Universität Magdeburg, Magdeburg.
The "Good Practice in Secondary Data Analysis" (GPS) guidelines provide a standard for analyzing secondary data, ensuring quality and ethical conduct in research. These guidelines cover all aspects of data analysis, from planning to reporting results.
Area of Science:
- Social Medicine and Prevention
- Epidemiology
- Secondary Data Analysis
Context:
- Established in 2005 by the Working Group for the Survey and Utilisation of Secondary Data (AGENS).
- Revised in 2008 and updated to its third version in 2012.
- Accredited as implementation regulations of Good Epidemiological Practice (GEP).
Purpose:
- To formulate a standard for conducting secondary data analyses.
- To serve as a guide for planning, conducting, and contracting secondary data analyses.
- To establish a basis for assessing the quality of scientific publications.
Summary:
- The 11 guidelines encompass ethical principles, study planning, quality assurance, data preparation, data privacy, contractual conditions, and responsible communication of results.
- Includes explanations and practical recommendations for users.
- Targets researchers, data owners, authors, referees, and readers involved in secondary data analysis.
Impact:
- Enhances the quality and reliability of secondary data analyses in social medicine and epidemiology.
- Facilitates standardized data handling and contractual agreements between data owners and analysts.
- Promotes responsible scientific communication and aids in the critical appraisal of research publications.
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