D3.1. Accessible Imaging Health Data Map
Creators: name: Wind, Anke
name: Beuque, Manon
name: Woodruff, Henry
name: Neri, Emanuele
name: Tumminello, Lorenzo
name: Martí-Bonmatí, Luis
name: Blanco, Ana Miguel
Publisher: name: Zenodo
Year: 2023

description: CHAIMELEON aims to develop a Distributed Data Repository interoperable with existing repositories, enabling secure sharing and reuse of anonymized imaging and clinical data, for AI developers to develop cancer management tools and solutions.<br> This deliverable gives an overview of existing initiatives in the form of an Imaging Health Data Map that gives the project the opportunity to learn from best practices in order to reach the following key objectives of the project:<br> O2: To design an EU-wide interoperable repository of health images, related clinical data and molecular data from pathologic and liquid biopsy samples, as a useful resource for the AI community to develop and test effective tools for improved cancer management applications.<br> O3: To set up the repository as a distributed infrastructure, building on existing initiatives at European, national, regional and individual centres levels.<br> Partners of the CHAIMELEON Consortium are composed of medical and technical experts, from both academia and industry. Different partners already work with or know of imaging repositories. This deliverable synthesizes information on these already existing imaging repositories.<br> In the first part of the document (section 2 Methods), we describe how we compiled this overview. We then move to presenting our findings in the Results section in two structured tables showing various aspects of the listed repositories.<br> In the Discussion, we describe which lessons can be learned that can be taken into account in the design of the CHAIMELEON repository and what conclusions can be drawn from this accessible Imaging Health Data Map.
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