Cherty

Goals

Academics struggle with data management at every stage of an experiment: data collection distributed across lab computers, analysis on their own laptops and compute clusters, sharing with collaborators, then publishing and reproducing the analysis of others. IPFS was inspired by scientific data needs, but there isn’t a turnkey solution today that is approachable for the median academic researcher.

Proposed Solution

Cherty works out of the box to bring the benefits of content addressing to academic research and publishing, integrating with the tools researchers already use to make their analysis easy to reuse, share, and reproduce.

Features

Cherty exists to make research and data science easier to understand, share, and reproduce. With Cherty, you can:

• Store your data using a verifiable content address (CID)

• Control 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

Contributing Members

Reference Documents

• Download the app!
• Documentation