The Pilot 7 is Assessing the Quality and Monetary Value of Data Assets

This is the Pilot 7 – FAME FreCo Assistance Legal Contingency:

For nearly a decade MOH is heavily investing in the digitisation of its production based on the introduction of sensors and cyber-physical systems in its oil refineries and on the implementation of novel use cases. The company manages a great amount of raw data from various sensors (e.g., pressure, thermometers, vibration, axial displacement), which is analysed hourly to identify abnormalities, to predict compressors’ behaviour for the next 24 hours and to identify potential problems ahead of time. The company’s experience from the deployments has unveiled the importance of the quality of the data assets, which is critical for implementing effective ML systems that can accurately predict assets’ behaviours. Leveraging the FAME marketplace, MOH is interesting in extracting valuable insights on the quality and potential monetary value of its data assets, to drive the exploitation and use of these assets in processes like cyberinsurance contracts.

This is the Pilot 7 FReCo Assistance Tool Guidance:

1) Type of Data: This pilot includes sensor data from equipment in the oil refinery sector.

2) Data Subjects/Owner of the data: The data is owned by the company operating the refinery.

3) Purpose: The data is used for IoT-based quality assessment.

4) Legal Obligations: Given the nature of the data, cybersecurity obligations may apply, particulalry under the NIS2 Directive, as it may relate to critical infrastructure protection in the oil refinery sector. If the sensor data reveals unique eficiency methods or propietary operational insights, Directive 2016/943 may be relevant. Additionally, competition rules under the TFEU must be considered to prevent unfair competitive advantages in data access and use.

5) This analysis has been conducted based on the work completed in D6.4, and the FAME FReCo Assistance Tool has been used for each pilot.

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