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Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
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Related Experiment Video

Updated: Jul 4, 2025

Creation and Maintenance of a Living Biobank - How We Do It
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German funders' data sharing policies-A qualitative interview study.

Michael Anger1, Christian Wendelborn1, Christoph Schickhardt1

  • 1Section for Translational Medical Ethics, Clinical Cooperation Unit Applied Tumor Immunity, National Center for Tumor Diseases (NCT) Heidelberg, German Cancer Research Center (DKFZ), Heidelberg, Germany.

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|February 8, 2024
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Summary

German research funders are crucial for promoting data sharing, yet their policies lag internationally. Experts suggest more incentives and concrete policies are needed, despite concerns about academic freedom.

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Area of Science:

  • Scientific research
  • Data management
  • Research policy

Background:

  • Data sharing is vital for scientific advancement but not widely practiced.
  • German funding agencies' data sharing policies are perceived as underdeveloped compared to international standards.
  • Research funders play a critical role in encouraging data sharing.

Purpose of the Study:

  • To assess how German experts perceive and evaluate the data sharing policies and promotional efforts of German funding agencies.
  • To identify the current status, perceived roles, and potential measures for promoting data sharing by German funders.

Main Methods:

  • Qualitative content analysis of sixteen guided expert interviews.
  • Interviews conducted with representatives from German funding agencies and research data experts.
  • Categorization and description of the German data sharing policy landscape based on expert perceptions.

Main Results:

  • Few German funding agencies have established data sharing policies.
  • Experts believe funders could enhance data sharing through incentives and clearer policies.
  • Academic freedom is perceived as a barrier to implementing mandatory data sharing requirements.

Conclusions:

  • Funders are seen as key facilitators of data sharing, but their policies are insufficient.
  • There is a perceived need for more concrete policies and incentives from funders.
  • Stricter data sharing requirements may be justifiable as part of good scientific practice, despite academic freedom concerns.