EUCAN-Connect brings together science from Europe and Canada to improve the quality of health care through a more efficient use of data.
The project aims to promote collaboration and multidisciplinary research in high-value cohort and molecular data on a large scale. As a result statistical power will improve and new discoveries are being facilitated. These discoveries will impact human life course and facilitate the translation of the data into personalized diagnostics, treatment and prevention policies.
The ambition of EUCAN-Connect is to maximize exploitation and capitalization of population cohorts for the European and Canadian community in an optimal scientific and cost-efficient way: existing cohorts should closely collaborate and be made accessible to the global scientific community. Here you can find out more about the project.
On 9th and 10th September, the EUCAN-Connect project held the second EUCAN biannual GA meeting in Newcastle, UK. This meeting was open to all EUCAN-Connect partners and was immediately followed by a 3 day DataSHIELD conference.
The EUCAN-Connect project brings together Europe’s and Canada’s leading researchers, engineers and operators in the development and use of large cohort data infrastructures consisting of 13 highly experienced organizations and individuals from 9 countries (Austria, Canada, Denmark, Finland, France, the Netherlands, Portugal, Spain, and United Kingdom). See the list of EUCAN-Connect partners here.
Opal 2.14 has been released and is now available! Thanks to the funding of the EUCAN Connect program, this release greatly improves the speed of the import and export of datasets, as well as their assignment to R. Now much larger datasets can be handled because of reduced memory needs. For more details on additional features implemented follow the link.
- DataSHIELD team is looking for Research Assistant (Statistics)
- The 3rd EUCAN-Connect GA meeting, 9-10 March 2020, Porto
- 2nd EUCAN-Connect General Assembly meeting
- EU-CAN Flagship Projects: Exchange on ethical, legal, societal issues
- Empowering Distributed Analysis Across Federated Cohort Data Repositories Adhering to FAIR Principles
