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A European standardization framework for data integration and data-driven in silico models for personalized medicine

A European standardization framework for data integration and data-driven in silico models for personalized medicine

Objective

The capacity to generate data in Life Sciences and health research with modern omics and imaging technologies has increased many orders of magnitude in the last decade. In combination with patient/personal derived data such as electronic health records, patient registries and -databases, as well as life style information this Big Data holds an immense potential for clinical applications, especially for in silico personalized medicine approaches. However, and despite the ever progressing technological advances in producing data, the exploitation of Big Data information to generate new knowledge for medical benefits, while guaranteeing data privacy and security, is lacking behind its full potential. A reason for this obstacle is the inherent heterogeneity of Big Data and the lack of broadly accepted standards that allow interoperable integration of heterogeneous health data to perform analysis and interpretation for predictive in silico modelling approaches in health research such as personalized medicine. Further obstacles are legal issues surrounding the use of personal data. To overcome these obstacles, we will establish a pan-European Expert forum with two main objectives: (i) to assess and evaluate national standardization strategies for interoperable health data integration (such as omics-, disease-focused-, clinical-/treatment- or healthcare- and socioeconomic-/lifestyle-data) as well as data-driven in silico modelling approaches and (ii) to harmonize and develop universal (cross-border) standards as well as recommendations for in silico methodologies applied in personalized medicine approaches. This pan-European Expert Forum —the EU-STANDS4PM consortium— has the overarching aim to bundle transnational standardization guidelines for in silico methodologies in transnational and clinical research to unfold the potential of personalized medicine.
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Coordinator

FORSCHUNGSZENTRUM JULICH GMBH

Address

Wilhelm Johnen Strasse
52428 Julich

Germany

Activity type

Research Organisations

EU Contribution

€ 512 465

Participants (15)

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Bayer

Germany

EU Contribution

€ 67 500

CHRISTIAN-ALBRECHTS-UNIVERSITAET ZU KIEL

Germany

EU Contribution

€ 54 493,75

ERASMUS UNIVERSITAIR MEDISCH CENTRUM ROTTERDAM

Netherlands

EU Contribution

€ 37 500

EUROPEAN MOLECULAR BIOLOGY LABORATORY

Germany

EU Contribution

€ 189 430

HITS GGMBH

Germany

EU Contribution

€ 190 000

FEDERAL AGENCY FOR MEDICINES AND HEALTH PRODUCTS

Belgium

EU Contribution

€ 30 000

DIN DEUTSCHES INSTITUT FUER NORMUNG E.V.

Germany

EU Contribution

€ 67 500

KAROLINSKA INSTITUTET

Sweden

EU Contribution

€ 61 875

QIAGEN GMBH

Germany

EU Contribution

€ 22 500

UNIVERSITY COLLEGE LONDON

United Kingdom

EU Contribution

€ 175 000

KOBENHAVNS UNIVERSITET

Denmark

EU Contribution

€ 399 610

THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD

United Kingdom

EU Contribution

€ 88 287,50

UNIVERSITA DEGLI STUDI DI PARMA

Italy

EU Contribution

€ 60 000

UNIVERSITAET ROSTOCK

Germany

EU Contribution

€ 22 500

VILNIAUS UNIVERSITETAS

Lithuania

EU Contribution

€ 63 750

Project information

Grant agreement ID: 825843

Status

Ongoing project

  • Start date

    1 January 2019

  • End date

    31 December 2021

Funded under:

H2020-EU.3.1.6.

  • Overall budget:

    € 2 042 411,25

  • EU contribution

    € 2 042 411,25

Coordinated by:

FORSCHUNGSZENTRUM JULICH GMBH

Germany