Ten simple rules for starting FAIR discussions in your community

Area of Science:

• Data Science
• Research Management

Background:

• Implementing FAIR principles and standardizing research workflows is crucial for data sharing and reproducibility.
• Many disciplines lack established practices for standardizing research workflows.
• Initiating discussions on these topics can be challenging without clear guidance.

Purpose of the Study:

• To provide 10 actionable rules for starting discussions on FAIR principles.
• To guide the creation of standardized research workflows.
• To facilitate community engagement and practical implementation of FAIR.

Main Methods:

• Development of 10 guiding rules based on best practices.
• Focus on community engagement strategies.
• Recommendations for identifying benefits and barriers to standardization.

Main Results:

• A structured set of 10 rules for initiating conversations on FAIR principles.
• Guidance on involving relevant stakeholders.
• Strategies for addressing challenges in standardization.

Conclusions:

• The presented rules offer a practical framework for advancing FAIR data principles.
• Effective community engagement is key to successful standardization of research workflows.
• These recommendations support the broader adoption of FAIR principles across disciplines.