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Taking a fresh look at FAIR for research software.

Daniel S Katz¹, Morane Gruenpeter², Tom Honeyman³

¹University of Illinois, Urbana, IL, USA.

Patterns (New York, N.Y.)

|March 22, 2021

Summary

Research software is vital for scientific discovery. Defining clear Findable, Accessible, Interoperable, and Reusable (FAIR) principles is crucial, recognizing that software

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Area of Science:

Computer Science
Scientific Computing
Research Software Engineering

Background:

Software is integral to modern research across disciplines.
Much research software is developed ad-hoc during scientific projects.
Existing software management practices may not fully address research-specific needs.

Discussion:

The Findable, Accessible, Interoperable, and Reusable (FAIR) principles need specific adaptation for research software.
Research software presents unique challenges due to its dynamic and complex nature.
A one-size-fits-all approach to FAIR research software is not feasible.

Key Insights:

FAIR principles require tailored definitions for research software.
Acknowledging software as a complex, evolving entity is key.
Context-specific solutions are necessary for effective research software management.

Outlook:

Developing domain-specific FAIR guidelines for research software.
Promoting best practices in research software development and stewardship.
Fostering interdisciplinary collaboration for robust research software ecosystems.