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What drives academic data sharing?

Benedikt Fecher1, Sascha Friesike2, Marcel Hebing3

  • 1Internet-enabled Innovation, Alexander von Humboldt Institute for Internet and Society, Berlin, Germany; Research Infrastructure, German Institute for Economic Research, Berlin, Germany.

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|February 26, 2015
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Summary
This summary is machine-generated.

Academic researchers rarely share data, hindering scientific progress. New research policies are needed to incentivize data sharing and improve research quality.

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Area of Science:

  • Social Sciences
  • Information Science
  • Research Policy

Background:

  • Research data sharing is widely supported but infrequently practiced by academics.
  • Data sharing is crucial for reproducibility and reusing existing data for new research questions.

Purpose of the Study:

  • To develop a conceptual framework explaining research data sharing from the primary researcher's perspective.
  • To identify factors influencing the data sharing process.

Main Methods:

  • Systematic review of 98 scholarly papers.
  • Empirical survey of 603 secondary data users.

Main Results:

  • The data sharing process can be categorized into six areas: data donor, research organization, research community, norms, data infrastructure, and data recipients.
  • A conceptual framework was developed to illustrate these categories.

Conclusions:

  • Research data is not a 'knowledge commons' without proper incentives.
  • Policy measures are necessary to encourage data sharing, enhance academic collaboration, and advance scientific progress.