A secure environment for business-sensitive data such as product drawings.
At Brainport Industries Campus (BIC), a fieldlab has been established as part of the Smart Industry campaign to develop a safe environment for business-sensitive data such as product drawings. The Smart Connected Suppliers Network is led by Brainport Industries.
This fieldlab builds on the International Data Space (IDS) initiative established in Germany under the leadership of the German sister institute of TNO, Fraunhofer. TNO focuses on defining architecture and standardisation. “The initiative fits perfectly with the European philosophy of free movement of people, goods and services”, says TNO’s Managing Director Industry Arnold Stokking in his column for Innovation Origins. “We are now adding free movement of data to these European values, but safely and with preservation of sovereignty. The latter means that the person generating the data remains the owner. The EU also has a nice geographical scope to use this method on, after all, a lot of deliveries take place between the member states.”
The system will have an open character and can ‘plug and play’ with various software platforms and where necessary with large cloud solutions. Stokking: “After all, it’s not conceivable to start all over again in ICT. And it’s not hard to imagine that this working method could also be useful in other application areas, such as healthcare and patient records. In my opinion, countless parties can benefit greatly from this project, but we can also learn from other sectors.” According to Stokking, this puts the fieldlab at the forefront of Europe. “This also shows that we at Brainport Eindhoven are working on groundbreaking and innovative solutions in a future-proof way.
IDS wants to strengthen supply chains through the positive use of data. “We need to gain a competitive advantage with it. Data communication is so incredibly important because it lies at the heart of many developments in the digital revolution. If we don’t make good data exchange possible, we also limit the opportunities for other important developments such as artificial intelligence and machine learning.”