Making FAIR data practices more accessible

Findable, Accessible, Interoperable, and Reusable (FAIR) data practices are taking the biomedical research world by storm. We build open source tools to help researchers navigate through them.

Our Vision

Only with tools that support and assist researchers we will achieve a widespread adoption of FAIR data practices.

What are the FAIR Data Principles?: The FAIR Data Principles are a set of guidelines for curating and sharing research data such that they are optimaly reusable by both humans and machines.
Learn more about FAIR
Why are FAIR data practices important?: FAIR data practices are crucial for ensuring reproducibility of scientific findings, promoting reuse of data, and enabling AI/ML-driven analysis to ultimately increase the pace of new discoveries. They also ensure proper credits to data generators.
What are the challenges?: Despite effort from funding agencies, industry, and researchers, FAIR data practices are not widely adopted due to their complex nature, insufficient support for researchers, and lack of awareness.
What do we do?: We develop open source tools that enhance and streamline FAIR data practices for biomedical researchers through automation and intuitive user interfaces.

About Us

FAIR Data Innovations Hub is a division of the California Medical Innovations Institute (CalMI²), a non profit biomedical research organization located in San Diego, California. We have a multidisciplinary team of enthusiasts about FAIR Data practices and software development.

Current Projects

These are the projects we are working on at the moment:

SODA (Software to Organize Data Automatically) for SPARC is a desktop software intended to facilitate the data organization and submission process for SPARC investigators according to the FAIR SPARC data standards.

The AI-READI project seeks to create a flagship AI-ready and ethically-sourced dataset that will support future AI-drive research projects to provide critical insights into type 2 diabetes.

FAIRshare is a cross-platform desktop software that allows researchers to easily organize and share their biomedical research data and software according to applicable FAIR guidelines.

KnowMore is an automated knowledge discovery tool that allows users of the portal to visualize, in just a few clicks, potential similarities, differences, and connections between multiple SPARC datasets of their choice.

SPARClink is a system that queries publications using open source tools and platforms and create an interactable visualization that showcases the impact that SPARC and their FAIR data practices have in advancing the field of bioelectronic medicine.

AQUA (Advanced QUery Architecture for the SPARC Portal) improves the SPARC Portal by making the search engine smarter at understanding user search keywords, enhancing the result display, and providing users with better result filtering and sorting options.

Where do our tools make a difference?

Disclaimer: All logos are used with adequate permissions. Opinions, interpretations, conclusions and recommendations are those of the FAIR Data Innovations Hub and are not necessarily endorsed by the other organizations mentioned on this website.