Hyperledger Collaborative Learning - Using Hyperledger Fabric in dataspaces - Unpaid

About the Organization

The data space approach aims at creating a data federation environment without the overhead of “enterprise” data integration. The concept of data spaces is gaining more and more importance, as this approach offers an opportunity for different stakeholders (data owners, including public bodies and municipalities, service providers offering AI-as-a-service algorithms , service consumers, regulatory bodies, etc.) to collaborate. There are several domains from eHealth to education where this kind of data/service federation is expected to have an important role in the near future. Blockchain is a natural candidate to support several aspects and steps of such collaborations. However, current initiatives do not really seem to fully exploit the possibilities of HFL (and its support for designing privacy-preserving applications with channels and Private Data Collection). The Eclipse Dataspace Connector, maintained by a coalition of European organizations, implements the International Dataspace Standard and also serves as a focal point of the Gaia-X. It is designed to connect multi-cloud environments and has an extension mechanism towards different cloud storage technologies. However, currently these extensions only support storage over designated cloud-based services, but do not offer consortial blockchain connection. The aim of the mentorship would be to develop an extension which support storing data over Hyperledger Fabric as data pane, relying on the Private Data Collection.