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To Be FAIR: Theory Specification Needs an Update.

Caspar J Van Lissa1, Aaron Peikert2,3, Maximilian S Ernst2,4

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PubMed
Summary
This summary is machine-generated.

We introduce FAIR theory, a standard for making theories findable, accessible, interoperable, and reusable digital objects. This open science innovation aims to improve theory development and reduce research waste in psychology.

Keywords:
fairtheorymetascienceopen sciencetheory formation

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Area of Science:

  • Psychological science
  • Open science
  • Scholarly communication

Background:

  • Current open science practices prioritize theory testing but lack robust methods for theory specification, sharing, and iterative improvement.
  • Underdeveloped methods hinder the collaborative development and reuse of psychological theories.

Purpose of the Study:

  • To introduce FAIR theory, a standard for treating theories as findable, accessible, interoperable, and reusable (FAIR) digital objects.
  • To adapt the FAIR principles for application to psychological theories and discuss their potential impact.

Main Methods:

  • Adapting the FAIR principles (Findable, Accessible, Interoperable, Reusable) for theory specification and digital archiving.
  • Presenting a conceptual workflow for "FAIRifying" theory, supported by the theorytools R package.

Main Results:

  • FAIR theory provides a structured protocol for archiving, communicating, and collaboratively improving theories.
  • This approach facilitates theory integration into reproducible research workflows, from hypothesis generation to simulation studies.

Conclusions:

  • FAIR theory addresses a critical gap in open scholarly practices, enhancing the efficiency of cumulative knowledge acquisition in psychology.
  • Implementing FAIR theory can reduce research waste and enable advanced metaresearch on theoretical structures and development.