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Area of Science:

  • Computer Science
  • Information Science
  • Scientific Research

Background:

  • Research software is critical for scientific advancement but faces challenges in discoverability, quality, and reproducibility.
  • The open science, open source, and FAIR (Findable, Accessible, Interoperable, Reusable) communities aim to improve scholarly practices.
  • Research software is increasingly recognized as a digital object requiring FAIR principles to maximize research value.

Purpose of the Study:

  • To adapt the existing FAIR Guiding Principles for research software.
  • To introduce and explain the FAIR Principles for Research Software (FAIR4RS Principles).
  • To provide a basis for discussing the adoption of these new principles.

Main Methods:

  • Adaptation of the established FAIR Guiding Principles.
  • Summarization of the content and context of the FAIR4RS Principles.
  • Inclusion of implementation examples from various organizations.

Main Results:

  • The development and presentation of the FAIR Principles for Research Software (FAIR4RS Principles).
  • A framework for applying FAIR principles to research software.
  • Examples demonstrating practical implementation and value maximization.

Conclusions:

  • The FAIR4RS Principles offer a pathway to address critical challenges in research software.
  • Adoption of FAIR4RS Principles can enhance research value, reproducibility, and sustainability.
  • Widespread implementation will amplify the importance and impact of FAIR research software.