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Data sharing in psychology.

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Routine data sharing in psychology is emerging, driven by reproducibility concerns and funder mandates. Best practices and infrastructure are largely established for sharing research data, including "long tail" data.

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Area of Science:

  • Psychology
  • Scientific Research Methodology

Background:

  • Routine data sharing is nascent in psychology.
  • Increased focus on reproducibility and funder mandates are driving data sharing discussions.

Purpose of the Study:

  • To provide an overview of data sharing issues in psychology.
  • To focus on the sharing of "long tail" data from individual laboratories.

Main Methods:

  • Review of experiences from other scientific domains.
  • Discussion of attitudes, cost-benefits, best practices, and infrastructure for data sharing.

Main Results:

  • Data sharing is increasingly recognized as essential for 21st-century scholarship.
  • Consensus on principles and best practices for data sharing is largely in place.

Conclusions:

  • While some issues remain, effective data sharing principles and infrastructure are available.
  • Publishing datasets is an integral part of modern scientific research.