Artifact DAO

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Inspiration

Can the peer review process be made more fair (perhaps through quadratic voting)? How can scientific code be made reproducible? Often these are written as one-off scripts and can be hard to recreate, even for famous publications. We also need to enable massive-scale data science on the data collected on these papers. We can make metadata analysis really easy because the data collected in a DeSci DAO can be analyzed and imputed on in a straightforward manner.

What it does

DataDAOs can be used to store open-access papers and journals. They can store (as proof) the results of reproducible experiments and provide incentives for scientists to upload new papers over time. They can raise funds for research that are unorthodox or come from a unique source.

How we built it

DataDAO for Decentralized Science (DeSci) Projects build on top of FEVM. DataDAOs are DAOs whose mission revolves around the preservation, curation, augmentation, and promotion of datasets considered valuable by their stakeholders.

Challenges we ran into

It was not easy creating the DAO part of this system. The work of the DAO as it relates to peer review is still subject to better modification.

Accomplishments that we're proud of

Creating a P2P DAO-centric peer review scientific research paper

What we learned

Integrating polybase as a decentralized database was one of my new knowledge, Understanding data DAO was any level of knowledge that was possible through this hack.

What's next for Artifact DAO

Continue to build until we launch a project that will help the decentralized science community

Built With

• ethers.js
• fevm
• filecoin
• hardhat
• ipfs
• solidity
• spheron