DataDAOs are DAOs whose mission revolves around the preservation, curation, augmentation, and promotion of datasets considered valuable by their stakeholders.
Examples include datasets valuable to humanity at large, like large genomic or research databases, historical indexed blockchain chain and transaction data, rollup data, the Wikipedia, NFT collections, metaverse assets, and more. But also datasets valued by narrower collectives, like football video recaps, statistics published by governments and city halls, or industry-specific machine learning datasets.
are we required to have some focus on the data itself, and collect it. or just build a demonstration of how such data can be used with our app. like maybe my app will be around football and football analytics , where people upload videos and run some analysis on it . an extremly watered down version of something like https://www.secondspectrum.com/index.html , would this be considered a dataDao , if not what should i add to it to become a DataDao ?
A Data DAO would center around the use of smart contracts to manage the storage and use of some particular data. In your football analytics example, a Data DAO would include a contract to create storage deals for the game and player statistical data and programmatically have it content addressed by IPFS and loaded for storage on Filecoin. To truly be a DAO you will also need contracts to permissionlessly/trustlessly manage things like a treasury wallet and voting by members.
Hey @Dawn_Kelly thank you for your replay, looking at the projects provided by @Niki_Gokani the smart contracts didn't have any data storage deals aspect. So I'm still trying to wrap my head around the smart contract design of the data part. So if you have any workshops or opening source project, I would be appreciate that..