Published April 9, 2024 | Version 1.0
Project deliverable Open

D1.2 Concept and Evaluation Framework - first version

Description

Adoption of Data Spaces practices by digital healthcare domains can create great potential for the evolution of machine learning solutions due to high availability of data sources. However, privacy protection is a key aspect to clearly addressed before any  stakeholder engages with the concept. This document elaborates on the enabling concepts, including establishment of trust among participants, by addressing all the phases of the data life-cycle, that are foreseen for the support and delivery of the project Use Case. The document also provides the initial details regarding the evaluation and validation of the platform. The current work is subject to ongoing research and it will be finalised and presented in the second version of this report by end of WP1.

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D1.2.pdf

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Additional details

Funding

European Commission
PAROMA-MED - Privacy Aware and Privacy Preserving Distributed and Robust Machine Learning for Medical Applications 101070222

Dates

Submitted
2023-07-17