| Literature DB >> 31394579 |
Stefanie March1, Silke Andrich2,3, Johannes Drepper4, Dirk Horenkamp-Sonntag5, Andrea Icks2,3, Peter Ihle6, Joachim Kieschke7, Bianca Kollhorst8, Birga Maier9, Ingo Meyer6, Gabriele Müller10, Christoph Ohlmeier11, Dirk Peschke12,13, Adrian Richter14, Marie-Luise Rosenbusch15, Nadine Scholten16, Mandy Schulz15, Christoph Stallmann1, Enno Swart1, Stefanie Wobbe-Ribinski17, Antke Wolter17, Jan Zeidler18, Falk Hoffmann19.
Abstract
Individual data linkage of different data sources for research purposes is being increasingly used in Germany in recent years. However, generally accepted methodological guidance is missing. The aim of this article is to define such methodological standards for research projects. Another aim is to provide readers with a checklist for critical appraisal of research proposals and articles. Since 2016, an expert panel of members of different German scientific societies have worked together and developed 7 guidelines with a total of 27 practical recommendations. These recommendations include (1) research aims, questions, data sources and resources, (2) infrastructure and data flow, (3) data privacy, (4) ethics, (5) key variables and type of linkage, (6) data validation/quality assurance and (7) long-term use for future research questions. The authors provide a rationale for each recommendation. Future revisions will include any new developments in science and data privacy. Eigentümer undMesh:
Year: 2019 PMID: 31394579 DOI: 10.1055/a-0962-9933
Source DB: PubMed Journal: Gesundheitswesen ISSN: 0941-3790