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Good Practice Data Linkage (GPD): A Translation of the German Version

Author

Listed:
  • Stefanie March

    (Institute for Social Medicine and Health Systems Research (ISMHSR), Medical Faculty, Otto von Guericke University Magdeburg, 39120 Magdeburg, Germany
    Department of Social Work, Health and Media, Magdeburg-Stendal University of Applied Sciences, 39114 Magdeburg, Germany)

  • Silke Andrich

    (Institute for Health Services Research and Health Economics, Centre for Health and Society, Faculty of Medicine, Heinrich-Heine-University Düsseldorf, 40225 Dusseldorf, Germany
    Institute for Health Services Research and Health Economics, German Diabetes Center, Leibniz Center for Diabetes Research at the Heinrich-Heine-University Düsseldorf, 40225 Dusseldorf, Germany)

  • Johannes Drepper

    (TMF—Technology, Methods, and Infrastructure for Networked Medical Research, 10117 Berlin, Germany)

  • Dirk Horenkamp-Sonntag

    (Techniker Krankenkasse, Healthcare Management, 22305 Hamburg, Germany)

  • Andrea Icks

    (Institute for Health Services Research and Health Economics, Centre for Health and Society, Faculty of Medicine, Heinrich-Heine-University Düsseldorf, 40225 Dusseldorf, Germany
    Institute for Health Services Research and Health Economics, German Diabetes Center, Leibniz Center for Diabetes Research at the Heinrich-Heine-University Düsseldorf, 40225 Dusseldorf, Germany)

  • Peter Ihle

    (PMV Research Group, University of Cologne, 50931 Cologne, Germany)

  • Joachim Kieschke

    (Epidemiological Cancer Registry of Lower Saxony, Register Center, 26121 Oldenburg, Germany)

  • Bianca Kollhorst

    (Leibniz Institute for Prevention Research and Epidemiology—BIPS Department Biometry and Data Management, 28359 Bremen, Germany)

  • Birga Maier

    (Berlin-Brandenburg Myocardial Infarction Registry e. V., 10317 Berlin, Germany)

  • Ingo Meyer

    (PMV Research Group, University of Cologne, 50931 Cologne, Germany)

  • Gabriele Müller

    (Center for Evidence-Based Healthcare (ZEGV), University Hospital and Faculty of Medicine Carl Gustav Carus, Technical University of Dresden, 01307 Dresden, Germany)

  • Christoph Ohlmeier

    (IGES Institut GmbH, 10117 Berlin, Germany)

  • Dirk Peschke

    (Institute for Public Health and Nursing Research (IPP), University of Bremen, 28359 Bremen, Germany
    Department of Applied Health Sciences, University of Health Bochum, 44801 Bochum, Germany)

  • Adrian Richter

    (Institute for Community Medicine, Department SHIP-KEF, Greifswald University Medical Center, 17475 Greifswald, Germany)

  • Marie-Luise Rosenbusch

    (Central Research Institute for Ambulatory Healthcare in Germany (Zi), Department of Data Science and Healthcare Analyses, 10587 Berlin, Germany)

  • Nadine Scholten

    (Institute of Medical Sociology, Health Services Research and Rehabilitation Science (IMVR), Faculty of Human Sciences and Faculty of Medicine, University of Cologne, 50933 Cologne, Germany)

  • Mandy Schulz

    (Central Research Institute for Ambulatory Healthcare in Germany (Zi), Department of Data Science and Healthcare Analyses, 10587 Berlin, Germany)

  • Christoph Stallmann

    (Institute for Social Medicine and Health Systems Research (ISMHSR), Medical Faculty, Otto von Guericke University Magdeburg, 39120 Magdeburg, Germany)

  • Enno Swart

    (Institute for Social Medicine and Health Systems Research (ISMHSR), Medical Faculty, Otto von Guericke University Magdeburg, 39120 Magdeburg, Germany)

  • Stefanie Wobbe-Ribinski

    (DAK Gesundheit, Health Services Research and Innovation, 20097 Hamburg, Germany)

  • Antke Wolter

    (DAK Gesundheit, Health Services Research and Innovation, 20097 Hamburg, Germany)

  • Jan Zeidler

    (Center for Health Economics Research Hanover (CHERH), Leibniz University Hanover, 30159 Hanover, Germany)

  • Falk Hoffmann

    (Faculty of Medicine and Health Sciences, Department of Healthcare Research, Carl von Ossietzky University Oldenburg, 26129 Oldenburg, Germany)

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.

Suggested Citation

  • Stefanie March & Silke Andrich & Johannes Drepper & Dirk Horenkamp-Sonntag & Andrea Icks & Peter Ihle & Joachim Kieschke & Bianca Kollhorst & Birga Maier & Ingo Meyer & Gabriele Müller & Christoph Ohl, 2020. "Good Practice Data Linkage (GPD): A Translation of the German Version," IJERPH, MDPI, vol. 17(21), pages 1-20, October.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:21:p:7852-:d:435160
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    References listed on IDEAS

    as
    1. repec:iab:iabfme:201512(en is not listed on IDEAS
    2. Stefanie March, 2017. "Individual Data Linkage of Survey Data with Claims Data in Germany—An Overview Based on a Cohort Study," IJERPH, MDPI, vol. 14(12), pages 1-16, December.
    3. March, Stefanie & Rauch, Angela & Bender, Stefan & Ihle, Peter, 2015. "Data protection aspects concerning the use of social or routine data," FDZ Methodenreport 201512_en, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany].
    Full references (including those not matched with items on IDEAS)

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