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[Good Practice Data Linkage].

Stefanie March1, Silke Andrich2,3, Johannes Drepper4

  • 1Institut für Sozialmedizin und Gesundheitsökonomie (ISMG), Medizinische Fakultät, Otto-von-Guericke-Universität Magdeburg, Magdeburg.

Gesundheitswesen (Bundesverband Der Arzte Des Offentlichen Gesundheitsdienstes (Germany))
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PubMed
Summary
This summary is machine-generated.

German researchers now have methodological standards for linking data sources. This guidance ensures data privacy, quality, and ethical research practices for improved scientific discovery.

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Area of Science:

  • Health research methodology
  • Data science in research

Background:

  • Individual data linkage is increasingly used in German research.
  • A lack of standardized methodological guidance hinders consistent application.

Purpose of the Study:

  • To define methodological standards for research projects involving data linkage.
  • To provide a checklist for appraising research proposals and articles.

Main Methods:

  • Development of 7 guidelines and 27 practical recommendations by an expert panel since 2016.
  • Recommendations cover research aims, data infrastructure, privacy, ethics, linkage, validation, and long-term use.

Main Results:

  • Established comprehensive guidelines for data linkage in research.
  • Provided a practical checklist for critical appraisal of research proposals and articles.

Conclusions:

  • The developed guidelines offer a standardized framework for ethical and high-quality data linkage in Germany.
  • Future revisions will incorporate scientific and data privacy advancements.