Data4lifesciences to Health-RI symposium

Calendar Event March 9th 2020, 13:00

Join us on March 9th 2020 at the Data4lifesciences to Health-RI symposium which will be held at Villa Jongerius in Utrecht.

Over the past 5 years the Data4lifesciences programme has evolved into a highly-appreciated knowledge sharing platform for the Dutch UMCs for their research data infrastructure. The Dutch UMCs and many partner institutes now venture into a new phase with Health-RI, the national data infrastructure for health research. An excellent occasion to look back on the successes of Data4lifesciences and to look forward to the great promise of data-driven health research in the Health-RI era.

Who to attend?

The symposium is open to everyone interested, but it will be particularly interesting for anyone involved in FAIR data stewardship, data sharing and IT applications in biomedical research, ranging from people with an IT background to researchers, research support staff, and policy makers. We particularly welcome anybody who has contributed to the Data4lifesciences program in any form. We will close the meeting with drinks and bites to celebrate the results of 5 years Data4lifesciences.

The program is free of charge, but you will need to register below to join.

Practical information

Date: Monday, March 9, 2020
Time: 13.00 – 17.00
LocationVilla Jongerius, Kanaalweg 64; Utrecht

Program

Welcome Jan-Willem Boiten (Lygature)
Program manager Data4lifesciences & Health-RI
Implement & professionalize data stewardship in a UMC Salome Scholtens
UMCG
The Digital Research Environment in practice Jan van den Brand
Radboudumc
Using registry data to conduct a GWAS on healthcare costs at the ODISSEI Secure Supercomputer Lucas van der Meer, ODISSEI, & Eveline de Zeeuw, Netherlands Twin Register
Personal Health Train – past, present, future André Dekker
Clinical Data Science, Maastricht UMC+
The EU Child Cohort Network: A Europe-wide network of cohort studies started in early life Hanan El Marroun
Erasmus MC
Keynote: Biomedical Imaging & Genetic (BIG) data analysis with AI for precision medicine Wiro Niessen
Erasmus MC
Drinks & bites  


Registration

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