EU


Welcome to the EU-STANDS4PM online survey "Data sources and in silico methods in personalized medicine".


Dear expert,

Thank you very much for participating in the EU-STANDS4PM survey "Data sources and in silico methods in personalized medicine".

A major goal of the EU-STANDS4PM project is to assess and evaluate strategies for data integration and data-driven in silico methodologies that enable personalised medicine. In an EU-wide mapping process we aim at producing an overview of existing data sources and domain-specific data standards already in use by various scientific research communities that allow integrating phenotype and large scale data for in silico methodologies.

The current survey is part of this mapping process targeting collaborative research projects to assess methodologies for integration of large-scale health data (big data) for predictive in silico modeling approaches in personalized medicine.

The outcome of the survey will be the basis for a systematic overview of state-of-the-art methodologies for harmonization and integration of big data that will be used to define and outline recommendations for comparative analysis of disease trajectories across European countries. It will also be the foundation to initiate the development of formal ISO Technical Reports that will allow the use of predictive in silico models –in a safe, legal and ethical framework– in clinical research and practice in the future.

Thank you very much again for your time and support - your input is highly appreciated.

Sincere regards,
The EU-STANDS4PM consortium


EU-STANDS4PM is funded by the EU-Commission under Grant Agreement # 825843


Survey Instructions

The survey has been designed in two parts to cover two aspects of personalised medicine; data (part one) and, modelling (part two). Please answer both parts of the survey as completely and accurately as you can. 

You are able to answer the survey as many times as you wish, however if you are planning to complete the survey for more than one dataset, we would like to ask you to start with the least known dataset. This is to ensure that a wider range of datasets are covered by the survey. 

Your responses are always saved. When you have completed all questions, click the “Submit” button at the bottom of the last page. Once you do that, you will not be able to go back and review your responses. 

If you have any questions about this survey please contact: 

Marc Kirschner, Coordinator
+49 2461 61-6863
m.kirschner@fz-juelich.de



Name
Email address
Are you aware of any potential data source(s) suitable for personalised medicine research?