In the HERAKLION project, data analysis is used to assess the vulnerability, resilience and availability of critical infrastructure in crisis situations. Both vulnerable areas and potential weaknesses in the infrastructure systems are identified. Statistical methods and machine learning are used to uncover relationships between different variables to understand the impact of crises on infrastructure security. The analysis takes into account both historical data and time-dependent events to assess the recovery ability and resilience of communities under crisis conditions. Combined with route analysis, it offers support in planning crisis scenarios and optimizing evacuation measures.

Connectors are central elements for the exchange of data between the actors in the data space. They ensure structured data exchange in compliance with strict sovereignty standards to enable decentralized management and multilateral use of data. The Heraklion connector is based on the Eclipse Dataspace Components, which were developed for interoperability and secure data exchange. These components are important for a robust data exchange infrastructure and enable seamless integration between different systems.

Allows public access to the data room. Through authentication, a registered user gets access to the resilience dashboard, data exploration and connectors. Access is specified using appropriate user roles.

New available data sets flow into the data pipeline, where their format becomes unified. Missing and additional metadata are also extracted. The metadata is then stored in the data catalog in the form of a knowledge graph. The data catalog enables quick and efficient searching of all data sets and complex analyses.