Swart E, Gothe H, Geyer S, Jaunzeme J, Maier B, Grobe T G, Ihle P
Institut für Sozialmedizin und Gesundheitsökonomie, Med. Fakultät, Otto-von-Guericke-Universität Magdeburg, Magdeburg.
UMIT - Private Universität für Gesundheitswissenschaften, Medizinische Informatik und Technik GmbH, Department of Public Health & Health Technology Assessment, Hall i.T., Austria; Medizinische Fakultät "Carl Gustav Carus" der Technischen Universität Dresden, Lehrstuhl für Gesundheitswissenschaften, Dresden.
Gesundheitswesen. 2015 Feb;77(2):120-6. doi: 10.1055/s-0034-1396815. Epub 2015 Jan 26.
In 2005, the Working Group for the Survey and Utilisation of Secondary Data (AGENS) of the German Society for Social Medicine and Prevention (DGSMP) and the German Society for Epidemiology (DGEpi) first published "Good Practice in Secondary Data Analysis (GPS)" formulating a standard for conducting secondary data analyses. GPS is intended as a guide for planning and conducting analyses and can provide a basis for contracts between data owners. The domain of these guidelines does not only include data routinely gathered by statutory health insurance funds and further statutory social insurance funds, but all forms of secondary data. The 11 guidelines range from ethical principles and study planning through quality assurance measures and data preparation to data privacy, contractual conditions and responsible communication of analytical results. They are complemented by explanations and practical assistance in the form of recommendations. GPS targets all persons directing their attention to secondary data, their analysis and interpretation from a scientific point of view and by employing scientific methods. This includes data owners. Furthermore, GPS is suitable to assess scientific publications regarding their quality by authors, referees and readers. In 2008, the first version of GPS was evaluated and revised by members of AGENS and the Epidemiological Methods Working Group of DGEpi, DGSMP and GMDS including other epidemiological experts and had then been accredited as implementation regulations of Good Epidemiological Practice (GEP). Since 2012, this third version of GPS is on hand and available for downloading from the DGEpi website at no charge. Especially linguistic specifications have been integrated into the current revision; its internal consistency was increased. With regards to contents, further recommendations concerning the guideline on data privacy have been added. On the basis of future developments in science and data privacy, further revisions will follow.
2005年，德国社会医学与预防学会（DGSMP）以及德国流行病学学会（DGEpi）的二次数据调查与利用工作组（AGENS）首次发布了《二次数据分析良好实践规范》（GPS），为开展二次数据分析制定了标准。GPS旨在作为分析规划与实施的指南，并可为数据所有者之间的合同提供依据。这些指南的适用范围不仅包括法定健康保险基金以及其他法定社会保险基金常规收集的数据，还涵盖所有形式的二次数据。这11项指南涵盖了从伦理原则与研究规划，到质量保证措施、数据准备，再到数据隐私、合同条款以及分析结果的负责任传播等各个方面。它们还辅以解释以及以建议形式提供的实际帮助。GPS面向所有从科学角度并运用科学方法关注二次数据及其分析与解读的人员。这包括数据所有者。此外，GPS还适用于作者、审稿人和读者对科学出版物质量进行评估。2008年，AGENS成员以及DGEpi、DGSMP和GMDS的流行病学方法工作组（包括其他流行病学专家）对GPS的第一版进行了评估和修订，随后该版本被认可为良好流行病学实践（GEP）的实施规范。自2012年起，GPS的第三版问世，可从DGEpi网站免费下载。当前版本尤其融入了语言规范，其内部一致性也有所提高。在内容方面，还增加了有关数据隐私指南的进一步建议。基于科学和数据隐私的未来发展，后续还会进行进一步修订。
