Our team has worked together on applying web3 tools (IPFS and Filecoin) to scientific datasets at Protocol Labs since 2022. While IPFS was inspired by scientific data needs, there isn’t a turnkey solution today that is approachable for the median academic researcher. Cherty works out of the box to bring the benefits of content addressing to academic research and publishing in a way that easily integrates with researchers existing 

Cherty's current feature set includes:
-Store your data using a verifiable content address (CID)
-Control and manage who has access
-Track versions of your data and code with a git-like versioning system
-Sync data across multiple devices
-Turn your analysis into an accessible and portable graph

In addition to working with users to improve the above feature set and improve UI/UX, we are working over the next couple of months to add:
-Additional AI features that enable the Cherty graph to be automatically generated when a user runs their analysis
-A feature that automatically connects metadata stored in data outputs to a verifiable compute graph, enabling researchers to effortlessly trace and verify which sample or code version was used for specific figures, enhancing data transparency and reproducibility.
