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EU-STANDS4PM SIGNED

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

Total Cost €

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EC-Contrib. €

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Partnership

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Project "EU-STANDS4PM" data sheet

The following table provides information about the project.

Coordinator
FORSCHUNGSZENTRUM JULICH GMBH 

Organization address
address: WILHELM JOHNEN STRASSE
city: JULICH
postcode: 52428
website: www.fz-juelich.de

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Germany [DE]
 Total cost 2˙042˙411 €
 EC max contribution 2˙042˙411 € (100%)
 Programme 1. H2020-EU.3.1.6. (Health care provision and integrated care)
 Code Call H2020-SC1-2018-Single-Stage-RTD
 Funding Scheme CSA
 Starting year 2019
 Duration (year-month-day) from 2019-01-01   to  2021-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    FORSCHUNGSZENTRUM JULICH GMBH DE (JULICH) coordinator 512˙465.00
2    KOBENHAVNS UNIVERSITET DK (KOBENHAVN) participant 399˙610.00
3    HITS GGMBH DE (HEIDELBERG) participant 190˙000.00
4    EUROPEAN MOLECULAR BIOLOGY LABORATORY DE (HEIDELBERG) participant 189˙430.00
5    UNIVERSITY COLLEGE LONDON UK (LONDON) participant 175˙000.00
6    THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD UK (OXFORD) participant 88˙287.00
7    BAYER AKTIENGESELLSCHAFT DE (Leverkusen) participant 67˙500.00
8    DIN DEUTSCHES INSTITUT FUER NORMUNG E.V. DE (BERLIN) participant 67˙500.00
9    VILNIAUS UNIVERSITETAS LT (VILNIUS) participant 63˙750.00
10    KAROLINSKA INSTITUTET SE (STOCKHOLM) participant 61˙875.00
11    UNIVERSITA DEGLI STUDI DI PARMA IT (PARMA) participant 60˙000.00
12    CHRISTIAN-ALBRECHTS-UNIVERSITAET ZU KIEL DE (KIEL) participant 54˙493.00
13    ERASMUS UNIVERSITAIR MEDISCH CENTRUM ROTTERDAM NL (ROTTERDAM) participant 37˙500.00
14    FEDERAL AGENCY FOR MEDICINES AND HEALTH PRODUCTS BE (BRUSSELS) participant 30˙000.00
15    QIAGEN GMBH DE (HILDEN) participant 22˙500.00
16    UNIVERSITAET ROSTOCK DE (ROSTOCK) participant 22˙500.00

Map

 Project 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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The information about "EU-STANDS4PM" are provided by the European Opendata Portal: CORDIS opendata.

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