This project develops an open-source prototype to enable a blockchain-based business model for Datenmarktplatz.NRW. The platform provides data scientists in the Rhenish mining area (Rheinisches Revier) with access to historical IoT datasets for AI development and integrates real-time IoT streams into AI systems for continuous value creation. The prototype ensures tamper-proof data handling, automates secure processes, and implements a seamless reward system using blockchain and smart contracts, fostering trust and efficiency in the marketplace.
| Manager(s) |
Michal Slupczynski |
| Funding | STARK - Stärkung der Transformationsdynamik und Aufbruch in den Revieren und an den Kohlekraftwerkstandorten |
| Status | Running |
| Website | https://datenmarktplatz.nrw/ |
In this project, an open source software prototype for a blockchain-based business model for the Datenmarktplatz.NRW is being realised. On the one hand, Datenmarktplatz.NRW provides data scientists from the Rhenish mining area with IoT data sets for the development of a novel AI algorithm for their clients. The advantage of this is that, for the first time, a wide variety of historical IoT data sets are searchable, accessible and usable for data scientists. On the other hand, DatenMarktplatz.NRW supplies an already developed AI algorithm with the real-time data streams that are essential for its operation. The advantage here is that these real-time data streams can be continuously consumed by the AI in order to create continuous real-time added value. This means that important data-based information can be imported into the Rhenish mining district (historical IoT data sets) and valuable IoT services and added value can be created and exported (real-time AI). For the first-time realisation of this business model for the Datenmarktplatz.NRW, a prototype software extension is required that a) guarantees the tamper-proofing of the IoT data records and streams, b) can automate the process flows in a tamper-proof manner and c) offers the marketplace players a reward system without media discontinuity. This can only be achieved through the smart contracts developed here and the blockchain to be integrated.
- Extending and Evaluating a Developing Ontology for Explainable Data Principles in AI (Open)
- Latency oriented optimization of a sensor based AI infrastructure (Open)