Details
| Originalsprache | Englisch |
|---|---|
| Aufsatznummer | 7852 |
| Seiten (von - bis) | 1-20 |
| Seitenumfang | 20 |
| Fachzeitschrift | International Journal of Environmental Research and Public Health |
| Jahrgang | 17 |
| Ausgabenummer | 21 |
| Frühes Online-Datum | 27 Okt. 2020 |
| Publikationsstatus | Veröffentlicht - 1 Nov. 2020 |
Abstract
The data linkage of different data sources for research purposes is being increasingly used in recent years. However, generally accepted methodological guidance is missing. The aim of this article is to provide methodological guidelines and recommendations for research projects that have been consented to across different German research societies. Another aim is to endow readers with a checklist for the critical appraisal of research proposals and articles. This Good Practice Data Linkage (GPD) was already published in German in 2019, but the aspects mentioned can easily be transferred to an international context, especially for other European Union (EU) member states. Therefore, it is now also published in English. Since 2016, an expert panel of members of different German scientific societies have worked together and developed seven guidelines with a total of 27 practical recommendations. These recommendations include (1) the research objectives, research questions, data sources, and resources; (2) the data infrastructure and data flow; (3) data protection; (4) ethics; (5) the key variables and linkage methods; (6) data validation/quality assurance; and (7) the long-term use of data for questions still to be determined. The authors provide a rationale for each recommendation. Future revisions will include new developments in science and updates of data privacy regulations.
ASJC Scopus Sachgebiete
- Medizin (insg.)
- Öffentliche Gesundheit, Umwelt- und Arbeitsmedizin
- Umweltwissenschaften (insg.)
- Gesundheit, Toxikologie und Mutagenese
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in: International Journal of Environmental Research and Public Health, Jahrgang 17, Nr. 21, 7852, 01.11.2020, S. 1-20.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Good practice data linkage (GPD)
T2 - A translation of the german version
AU - March, Stefanie
AU - Andrich, Silke
AU - Drepper, Johannes
AU - Horenkamp-Sonntag, Dirk
AU - Icks, Andrea
AU - Ihle, Peter
AU - Kieschke, Joachim
AU - Kollhorst, Bianca
AU - Maier, Birga
AU - Meyer, Ingo
AU - Müller, Gabriele
AU - Ohlmeier, Christoph
AU - Peschke, Dirk
AU - Richter, Adrian
AU - Rosenbusch, Marie Luise
AU - Scholten, Nadine
AU - Schulz, Mandy
AU - Stallmann, Christoph
AU - Swart, Enno
AU - Wobbe-Ribinski, Stefanie
AU - Wolter, Antke
AU - Zeidler, Jan
AU - Hoffmann, Falk
N1 - Funding information: The German version of Good Practice Data Linkage was developed without external financial support. The professional translation of Good Practice Data Linkage into English was financially supported by the German Society for Epidemiology (DGEpi).
PY - 2020/11/1
Y1 - 2020/11/1
N2 - The data linkage of different data sources for research purposes is being increasingly used in recent years. However, generally accepted methodological guidance is missing. The aim of this article is to provide methodological guidelines and recommendations for research projects that have been consented to across different German research societies. Another aim is to endow readers with a checklist for the critical appraisal of research proposals and articles. This Good Practice Data Linkage (GPD) was already published in German in 2019, but the aspects mentioned can easily be transferred to an international context, especially for other European Union (EU) member states. Therefore, it is now also published in English. Since 2016, an expert panel of members of different German scientific societies have worked together and developed seven guidelines with a total of 27 practical recommendations. These recommendations include (1) the research objectives, research questions, data sources, and resources; (2) the data infrastructure and data flow; (3) data protection; (4) ethics; (5) the key variables and linkage methods; (6) data validation/quality assurance; and (7) the long-term use of data for questions still to be determined. The authors provide a rationale for each recommendation. Future revisions will include new developments in science and updates of data privacy regulations.
AB - The data linkage of different data sources for research purposes is being increasingly used in recent years. However, generally accepted methodological guidance is missing. The aim of this article is to provide methodological guidelines and recommendations for research projects that have been consented to across different German research societies. Another aim is to endow readers with a checklist for the critical appraisal of research proposals and articles. This Good Practice Data Linkage (GPD) was already published in German in 2019, but the aspects mentioned can easily be transferred to an international context, especially for other European Union (EU) member states. Therefore, it is now also published in English. Since 2016, an expert panel of members of different German scientific societies have worked together and developed seven guidelines with a total of 27 practical recommendations. These recommendations include (1) the research objectives, research questions, data sources, and resources; (2) the data infrastructure and data flow; (3) data protection; (4) ethics; (5) the key variables and linkage methods; (6) data validation/quality assurance; and (7) the long-term use of data for questions still to be determined. The authors provide a rationale for each recommendation. Future revisions will include new developments in science and updates of data privacy regulations.
KW - Epidemiology
KW - Guidelines
KW - Health services research
KW - Personal data
KW - Record linkage
KW - Standard
UR - http://www.scopus.com/inward/record.url?scp=85094208717&partnerID=8YFLogxK
U2 - 10.3390/ijerph17217852
DO - 10.3390/ijerph17217852
M3 - Article
C2 - 33120886
AN - SCOPUS:85094208717
VL - 17
SP - 1
EP - 20
JO - International Journal of Environmental Research and Public Health
JF - International Journal of Environmental Research and Public Health
SN - 1661-7827
IS - 21
M1 - 7852
ER -