DaRT – Blockchain for Science

From experiments to verifiable chains.

Scientific work provenance

Most scientific results still live in scattered folders. We bind participants, experiments, analyses, and outputs to blockchain entries so anyone can see what was done, when, and with which data.

Our infrastructure is designed for real labs: messy data, evolving protocols, and limited engineering support.

Practical guarantees

  • Cryptographic hashes of raw and processed datasets
  • Time-stamped on-chain records for key milestones
  • Validation of computation assuring figures are legitimate
  • Permissioned discovery and sharing for collaborators

Technology

The animated scientist is a metaphor: experiments and code flow into a test tube, and out comes a cryptographic link that attaches to a larger chain of evidence.

On-chain provenance

Every registered dataset and algorithm a graph: who did what, when, with which inputs. The chain stores hashes and metadata, while bulk data stays in your secure storage.

Reproducible analysis bundles

We pin exact versions of analysis images and configurations, so downstream users can re-run and confirm figures are indeed representing what was originally claimed.

Programmable access control

Smart contracts act as programmable gatekeepers: they govern who can discover, request, or compute over your datasets, while you keep custodial control.

Applications

Built for labs, consortia, and data infrastructures that need more than nice figure panels.

Registered analyses

Lock pre-registered analysis plans and parameter ranges on-chain, so deviations and explorations are visible, not hidden.

Reproducible data releases

Publish datasets with a formal provenance trail and attach them to analysis contracts that anyone can re-run.

Incentivized replication

Use tokens or credits to reward robust replications, meta-analyses, and stress tests instead of only rewarding novel claims.

Contact

We’re looking for labs, data consortia, and infrastructure teams interested in piloting blockchain-backed scientific workflows.

Tell us about your data, your constraints, and what guarantees you wish you had today.