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The FAIR guiding principles for data stewardship: fair enough?

Martin Boeckhout1, Gerhard A Zielhuis2,3,4, Annelien L Bredenoord5

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The FAIR principles guide research data stewardship for better findability, accessibility, interoperability, and reusability. Addressing ethical and organizational challenges is key to systematic data sharing in life sciences.

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Area of Science:

  • Life sciences research data stewardship

Background:

  • The FAIR guiding principles (Findability, Accessibility, Interoperability, Reusability) are becoming central to life sciences research.
  • Systematic data sharing is increasingly important in the scientific community.

Purpose of the Study:

  • To critically appraise the FAIR principles in the context of current data sharing discussions.
  • To identify challenges hindering the full implementation of FAIR data principles.

Main Methods:

  • Critical analysis of the FAIR guiding principles.
  • Review of ongoing developments and discussions in research data sharing.

Main Results:

  • The FAIR principles offer a framework for advancing systematic data sharing.
  • Several ethical, methodological, and organizational challenges need to be addressed for effective implementation.

Conclusions:

  • The FAIR principles are crucial for future research data stewardship.
  • Overcoming identified challenges is essential to fully realize the benefits of FAIR data for life sciences research.