Chapters
0:00 - Introductory comments by Chairperson: Carlos Díaz (Synapse Research Management Partners)
3:38 - Harmonisation of health data as a critical enabler for rapid actionable evidence - Presenter: Nigel Hughes (Janssen R&D)
16:36 - Enabling analysis of pan-European datasets: the EPAD analytical database - Presenter: Rodriogo Barnes (Aridhia)
30:35 - Data Discovery to support Data Sharing to support Data Analysis - Presenter: Colin Veal (University of Leicester)
43:25 - Adopting best practice on data sharing – report on Neuronet Working Group activities - Presenter: Manuela Rinaldi (Modis Life Sciences, providing services for Janssen Pharmaceutica NV)
56:07 - Questions and answers
Efficient data sharing: A must for science to respond to societal needs
HUGHES Nigel1, BARNES Rodrigo2, VEAL Colin3, RINALDI Manuela4 and DIAZ Carlos5
1Janssen R&D, Beerse, Belgium, 2Aridhia, Edinburgh, Scotland, 3University of Leicester, Leicester, England, 4MODIS Life Sciences, providing services for Janssen Pharmaceutica NV, 5Synapse Research Management Partners, Madrid, Spain
The archives of hospitals, academic institutions and clinical trial centres contain a wealth of scientific and health data. However, while the benefits of sharing of data for clinical research and healthcare improvement purposes are undisputed, there remain technical, ethical, legal, financial and motivational challenges that impede data sharing.
In this session, we will explore some of these challenges and discuss the technical solutions that are being developed by IMI projects to overcome key obstacles to effective sharing of health data, including data harmonisation, federated networks, digital data discovery tools and research environments.
Neuronet has received funding from the Innovative Medicines Initiative 2 Joint Undertaking (JU) under grant agreement No 821513. The JU receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA and Parkinson’s UK.
Any information in the video solely reflects the speaker’s view and neither IMI nor the European Union, EFPIA, or any Associated Partners are responsible for any use that may be made of the information contained herein.
https://www.imi-neuronet.org/