BIBBOX, a FAIR toolbox and App Store for life science research

Area of Science:

• Life Sciences
• Bioinformatics
• Data Science

Background:

• Growing emphasis on data quality in research.
• European guidelines advocate for FAIR data principles (Findable, Accessible, Interoperable, Reusable).
• Lack of clear implementation guidance for FAIR principles hinders data sharing.

Purpose of the Study:

• To address the challenges researchers face in implementing FAIR data principles.
• To provide a practical solution for publishing datasets and associated software in a FAIR manner.
• To facilitate data and software sharing in the life sciences.

Main Methods:

• Development of the BIBBOX platform.
• Implementation of features supporting FAIR data publication.
• Integration of dataset and software sharing capabilities.

Main Results:

• BIBBOX provides a user-friendly interface for researchers.
• The platform enables the publication of datasets and software adhering to FAIR guidelines.
• Facilitates improved data and software accessibility for the research community.

Conclusions:

• The BIBBOX platform effectively supports researchers in making their data and software FAIR.
• Simplifying FAIR data implementation can accelerate scientific discovery and collaboration.
• BIBBOX contributes to advancing research by promoting open and reusable scientific assets.