Task 1 (proposed, Dong Data): a framework feasibility/prototype to see which type of data are needed/ not needed for FDD purpose - if fraud analysis doesn't need a particular data subject, then it is unlikely useful for most other operational things.
Short term - exploration - Data Catalog tool
With the following conceptual model in mind, we can build:
- Transparent data for all - Sybil score of each user showing on website - the function was available publicly according to Disruption Joe
- Data Catalogue
- An active community that build their own dashboards separately- based on on-chain or shared data by Gitcoin. examples: various Bitcoin dashboards
- Recurring review of data priorities - what to delete, what to retain, what to ingest, what pipeline
general protocols, metadata, master data
Policy and future data platform - GDPR change in Jun 2021
Invite other streams to shape the long term goals
Google updating privacy data terms (the new versions of the Standard Contractual Clauses under GDPR).
EU work below discussed data portal base on source code porotal, 2 modes for dataset owners and re-users, prototype implemented on gitea.io, okay for a 3 minutes read
That's why Ocean protocol, swash is worth further test, money is data, data is money
https://data.europa.eu/en/highlights/sustainability-open-data-portal-infrastruc-tures-reports-pt-6
https://eur-lex.europa.eu/eli/dec_impl/2021/914/oj?uri=CELEX:32021D0914&locale=en