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CODE beyond FAIR: a roadmap for reusable research software.

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This article proposes a roadmap to enhance research software, focusing on its unique characteristics and connection to free and open-source software principles for better reproducibility.

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Area of Science:

  • Computer Science
  • Software Engineering
  • Scientific Research

Background:

  • FAIR principles promote data sharing and reuse.
  • Research software, unlike static data, is dynamic and requires specific approaches.
  • The current ecosystem lacks standardized practices for research software management.

Purpose of the Study:

  • To adapt FAIR principles for research software.
  • To propose a tiered roadmap for improving research software quality and accessibility.
  • To engage diverse stakeholders in the research software lifecycle.

Main Methods:

  • Analysis of the differences between research data and research software.
  • Review of free and open-source software best practices.
  • Development of a stakeholder-inclusive, tiered roadmap.

Main Results:

  • Identification of key challenges in research software management.
  • A structured, tiered roadmap for enhancing research software.
  • Consideration of various stakeholder needs, including researchers, institutions, funders, libraries, and publishers.

Conclusions:

  • Research software requires tailored approaches beyond traditional data management.
  • A collaborative, tiered strategy is essential for improving research software.
  • Implementing the proposed roadmap can foster greater research reproducibility and reuse.