Only with tools that support and assist researchers we will achieve a widespread adoption of FAIR Data practices.
What is FAIR?
- The FAIR Data Principles are a set of guidelines for curating and sharing research data such that they are reusable by both human and machines.
Why is it important?
- FAIR data practices are crucial for ensuring reproducibility of scientific findings and enabling AI/ML-driven analysis to increase the pace of new discoveries.
What are the challenges?
- Despite effort from funding agencies, industry, and researchers, FAIR data practices are not widely adopted due to their complex nature and lack of support.
What do we do?
- We develop open source tools that enhance FAIR data practices for biomedical researchers through automation and intuitive user interfaces.
These are the projects we are working on at the moment:
These are the projects we are working on at the moment.
SODA for SPARC
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.
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?