D3.6 Final Data Management Plan

Mar 12, 2024 | Deliverables

This deliverable based on the DoW entitled “Final Data Management Plan (DMP)” is an updated
version of the Pro-CAncer-I project’s DMP (D3.5), in accordance with the regulations of the Pilot
action on Open Access to Research Data of the Horizon 2020 program (H2020). It contains
detailed information, based on our current analysis, about data that will be produced and
collected within the project, whether and how it will be made accessible for re-use and further
exploitation, and how it will be curated and preserved.
Information about the main categories of the ProCAncer-I data is provided in the Data
introduction section. In Section 2, we provide a detailed description of the data gathered and
processed for each work package (WP), as well as of the data collection, documentation,
metadata generation and data assessment mechanisms developed by the project. Furthermore,
the tools for data storage and methodologies for ensuring data security are also presented in this
section.
Subsequently, Section 3 describes how the data management plan is aligned with the FAIR
principles and introduces the concept of the AI model passport, an approach to document the
whole model development life cycle. General Data Protection Regulation (GDPR) and its
application to the ProCAncer-I project is described in section 4, while ProCAncer-I Open Data in
Section 5 deals with the participation of the ProCAncer-I in the Open Research Data Pilot (ORDP)
and the link to EUropean Federation for CAncer IMages (EUCAIM) which is the cornerstone of
the European Commission-initiated European Cancer Imaging Initiative, a flagship of Europe’s
Beating Cancer Plan (EBCP).
Finally, the project risks and proposed mitigation measures and related ethical aspects raised by
ProCAncer-I research are provided in Section 6 and 7, respectively.

Highlights

Podcast Spotlight: The Future of Trustworthy AI in Healthcare

Podcast Spotlight: The Future of Trustworthy AI in Healthcare

The role of artificial intelligence (AI) in healthcare is expanding rapidly, but trust remains a crucial barrier to its widespread adoption. The following AI-generated audio file, titled, serves as an example of how AI-driven technologies can contribute to medical research and education.

Dissemination Event of the ProCAncer-I Project in Vienna, Austria

Dissemination Event of the ProCAncer-I Project in Vienna, Austria

ProCAncer-I organised the 4th Dissemination Event of the project at the ECR 2025 held in Vienna, Austria, February 25-26, 2025. During the congress, ProCAncer-I organised a Dedicated Session on the project on the 26th of February 2025, at 15.00-16.00, with the title...

The brand effect: how different MRI machines trip up AI

The brand effect: how different MRI machines trip up AI

Prostate cancer can vary greatly in how aggressive it is, and knowing this in advance helps doctors decide the best course of treatment. Magnetic resonance imaging (MRI) is often used to detect prostate cancer, but figuring out just how aggressive the cancer is...

Dissemination Event of the ProCAncer-I Project in Vienna

Dissemination Event of the ProCAncer-I Project in Vienna

We are delighted to invite you to our session, “ProCAncer-I: An AI Platform Integrating Multiparametric MRI and AI Models”, at the European Congress of Radiology (ECR) 2025.  Date: 26 February 2025  Time: 15:00 – 16:00  Location: ECR 2025, Vienna, Austria (conference...

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