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CORDIS - EU research results
CORDIS

Intelligent Ecosystem to improve the governance, the sharing and the re-use of health Data for Rare Cancers

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

Data Management Plan (opens in new window)

D1.2 Data management Plan (INT, M6). Updated as needed during the course of the project.

Rare Cancer Pilots selection (opens in new window)

D8.1 Rare Cancer Pilots selection (INT, M9). Description of the pilot cases and relevant KPIs.

Data Ecosystem final guide (opens in new window)

D2.2 Data Ecosystem final guide (UU, M33), final recommendations to maximize ecosystem self-sustainability.

Standards for a Rare Cancer Data Ecosystem (opens in new window)

D10.3 Standards for a Rare Cancer Data Ecosystem (HL7, M30), report on standard relevant for the enlarged ecosystem.

Specification of multimodality navigation (opens in new window)

D6.1 Specification of multimodality navigation (UPM, M21), specs needed to drive work in other Tasks.

Pilot deployment plan (opens in new window)

D9.1 Pilot deployment plan (UPM, M24), plan for technically configure and set up pilot (re-)use cases.

Quality Plan (opens in new window)

D1.1 Quality Plan (INT, M6). Quality procedures for the project and the pilots.

Pilot data governance (opens in new window)

D8.2 Pilot data governance (NIOC, M18). Description of the legal and organizational frameworks to be applied-for data governance.

Stakeholder Engagement Plan (opens in new window)

D10.2 Stakeholder Engagement Plan (DICOR M6), plan for building the community of interest.

Plan for communication, dissemination and exploitation activities (opens in new window)

D11.1 Plan for communication, dissemination and exploitation activities (INF, M6), overall plan for ensuring awareness and usage of project results.

FHIR Implementation Guide (opens in new window)

D3.1 FHIR Implementation Guide (HL7, M18), FHIR profile adopted by the project for the Data Ecosystem.

Metadata taxonomy (opens in new window)

D2.5 Metadata taxonomy (UDEU, M12), upper ontology for data ecosystem modeling.

Structured Data Model to support NLP NLU (opens in new window)

D5.1 Structured Data Model to support NLP NLU (UDEU, M30), specific rare cancer ontology.

Communication materials (including website) (opens in new window)

D11.2 Communication materials (INF, M9) logo, website and other materials continuously updated.

Publications

Common European Data Spaces in Health Care: A Privacy-Preserving Ecosystem for Cancer Research (opens in new window)

Author(s): Simon Dalmolen, Jos van Hillegersberg, Hans Moonen, Erik Cornelisse, Jildau Bouwman, Andre Boorsma
Published in: Lecture Notes in Business Information Processing, Bridging Digital Sourcing, Platforms, and Ecosystems, 2025, ISBN 978-3-032-04512-6
Publisher: Springer Nature Switzerland
DOI: 10.1007/978-3-032-04512-6_5

Clinical Natural Language Processing and Health Interoperability to Support Knowledge Management and Governance in Rare Cancers (opens in new window)

Author(s): Laura Lopez-Perez, Eugenio Gaeta, Itziar Alonso, Alejo Esteban, Victor Gerardo Dominguez, Maria Fernanda Cabrera, Maria Teresa Arredondo & Giuseppe Fico
Published in: MEDICON’23 and CMBEBIH’23 Conference paper, 2024, ISSN 1433-9277
Publisher: Publisher NameSpringer, Cham
DOI: 10.1007/978-3-031-49062-0_58

Extending the Patient Summary for Rare Disease and Rare Cancers in the EHDS (opens in new window)

Author(s): Annalisa Trama, Ana Rath, Catherine Chronaki, Paolo G. Casali
Published in: Studies in Health Technology and Informatics, Global Healthcare Transformation in the Era of Artificial Intelligence and Informatics, 2025
Publisher: IOS Press
DOI: 10.3233/SHTI250741

HL7 Fast Healthcare Interoperability Resources (HL7 FHIR) in digital healthcare ecosystems for chronic disease management: Scoping review (opens in new window)

Author(s): Roberta Gazzarata, Joao Almeida, Lars Lindsköld, Giorgio Cangioli, Eugenio Gaeta, Giuseppe Fico, Catherine E. Chronaki
Published in: International Journal of Medical Informatics, Issue 189, 2024, ISSN 1386-5056
Publisher: Elsevier BV
DOI: 10.1016/J.IJMEDINF.2024.105507

Exploring the Latest Highlights in Medical Natural Language Processing across Multiple Languages: A Survey (opens in new window)

Author(s): Anastassia Shaitarova, Jamil Zaghir, Alberto Lavelli, Michael Krauthammer, Fabio Rinaldi
Published in: Yearbook of medical informatics, 2023, ISSN 2364-0502
Publisher: Georg Thieme Verlag KG
DOI: 10.1055/s-0043-1768726

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