Use Cases

The Centre of Excellence for Data Sharing and Cloud (CoE-DSC) works on several (cross-sectoral) use cases of data sharing. In these use cases, organisations (from different domains) collaboratively define and realise a use case that creates new value by sharing data. Besides new value creation, the use cases provide the CoE-DSC with real-life insights in what is required to achieve interoperability between different organisations, domains and/or data sharing initiatives. Based on our experience with developing different use cases, the CoE-DSC can help you tackle the common problems in use case development and to realise your data sharing use case.

Our participant Linksight collaborates with DSW, the municipality of Delft and elderly care organisation Pieter van Foreest and uses Multi-party Computation to generate insights without sharing the data itself, which helps to monitor and improve elderly care.
Together with our participant SBR Nexus, data of industry association members is shared with industry associations to create valuable insights about the whole sector.
Together with participants Knights Analytics and Roseman Labs, we examined the application of Artificial Intelligence Entity Resolution technology to help combat financial crime.
Together with our participant Impact IoT Solutions and HAN and De Marke, we examine the value potential of new data sources for dairy farming and the most important conditions to unlock these new data sources in a use case.
Together with our participants Sustainable Rescue Foundation, Roseman Labs and NGOs and other participants, we work on a use case that focuses on secure data exchange between different parties monitoring human trafficking.
A model has been developed that can automatically assign an ICD-10 code to half of the records as accurately as human coders can. For the remainder, the coder is given suggestions, simplifying the coding work and further training the model.
There are methods and techniques available whereby the data owner can share data and retains control over the data by means of authorisation agreements. Here, we elaborate on the proof of concept in healthcare.
Together with our participant Hypotheken Data Netwerk (HDN), we enabled consumers to share their energy data with financial loan providers to get support to make their house more sustainable.
One Maritime Data Standard (OMDS) is aiming to simplify the data landscape of the maritime sector. The principle is very simple: users retrieve the data from a central repository and then use it in their own systems.
Together with our participants Publiek Vervoer and Roseman Labs, we realised a use case about Multi-party computation (MPC) and Mobility as a Service (MaaS), where MPC helps to securely share data with other parties in the mobility sector.
Together with our participant KPN, we examined the application of a weed robot, where agricultural IoT data is shared across domains. This will allow data to be re-used and it will enable new value creation.
Together with our participants iSHARE and Verbond van Verzekeraars, we realised a use case on sharing freight transport data with insurers to enable improved processes and risk management.
Together with FacilityApps and AMdEX, we lay a foundation for sharing building sensor data by developing a use case in which building sensor data is shared with cleaning parties for ‘demand-based’ cleaning services.
When operating underwater, Autonomous Underwater Vehicles (AUVs) use a combination of sonar, camera and navigation sensors to perceive their surroundings and pinpoint their position. AI supports the efficient interpretation of the large amount of multisensory data acquired using these sensors.
There’s a huge amount of data in healthcare systems, but it is not always structured. Getting that data properly available will make it easier for care organisations to discover trends. In addition, AI can help to improve care.