捆绑SM社区

捆绑SM社区's Professor Bartha Maria Knoppers to co-lead the work package on ethics and interoperability.

The first international platform for sharing cardiovascular data has been launched by , an EU-Canada funded project being implemented by , led by the University of Barcelona (UB)¹ and including the European Society of Cardiology (ESC).² Cardiovascular researchers are encouraged to use the platform to browse, deposit and analyse data.

The project brings together information on more than one million individuals from in the EU, Canada and beyond. It aims to accelerate research in personalised medicine for cardiovascular disease and to promote the responsible exchange of data while reducing cultural, behavioural and technological barriers to Open Science.

鈥渆uCanSHare provides the privacy and governance mechanisms for the secondary use of data,鈥� said 捆绑SM社区's Professor Bartha Maria Knoppers who together with Professor Pascal Borry (Katholieke Universiteit Leuven, Belgium) leads the work package on ethics and interoperability.

Project coordinator Dr. Karim Lekadir of the University of Barcelona, Spain said: 鈥渆uCanSHare is an unprecedented effort to create a long-awaited international data platform for more responsible sharing and more efficient exploitation of large-scale cardiovascular research studies across institutions. euCanSHare will facilitate access to information on available cardiovascular datasets, while increasing trust through well-established and highly secure data management mechanisms.鈥�

The , which is hosted on the Barcelona Supercomputing Centre鈥檚 (BSC鈥檚) cloud, holds metadata on social and demographic factors, 鈥渙mics鈥� (DNA/RNA/proteins), cardiac imaging, lifestyle behaviours, and clinical data including outcomes.

Cardiovascular disease is the leading cause of death worldwide: ischaemic heart disease and stroke were responsible for the most deaths globally in 2019.³ The majority of heart attacks and strokes can be prevented with healthy lifestyles including physical activity and a nutritious diet, controlling body weight, and not smoking. Management is most effective when conditions are diagnosed early, and treatments are tailored to individual patients.

Personalised management relies on the discovery of individual biomarkers that identify who is at risk of cardiovascular disease and who will respond to a particular therapy. Research in this field requires integrating large amounts of cardiovascular data, including molecular, imaging and clinical data as well as lifestyle and demographic information from heterogeneous population and patient cohorts. This presents fundamental challenges for data storage, management and analysis, IT capacity, and accessibility⁴ 鈥� which are addressed by euCanSHare, the most comprehensive cardiovascular data catalogue ever assembled.

Consortium member Professor Steffen Petersen of Queen Mary University of London, UK, and president-elect of the ESC鈥檚 European Association of Cardiovascular Imaging (EACVI) said: 鈥淢y research focuses on how to prevent, diagnose and treat heart failure in at-risk diabetic patients. Using multiple diverse cohorts from euCanSHare increases the statistical power of my research and enables me to more thoroughly investigate the role of lifestyle, ethnicity and genetics.鈥�

The euCanSHare platform covers the entire research path, from data access to distribution of results. Features include: 1) a cohort browser and catalogue enabling professionals to search for cohorts to use in their research; 2) a controlled access manager user interface for providing credentials and requesting permission to use selected information (which will go live next year); 3) a data manager tool for new data depositions; 4) a data analyser workspace for approved users; and 5) written instructions and a helpdesk to guide new users of the platform.

In particular, the catalogue provides a detailed description of available datasets, including key variables, access policies and harmonisation status across cohorts. In the current version, the catalogue provides information on 310,000 individuals from 30 studies.

Consortium member Dr. Josep Lluis Gelpi of the BSC said: 鈥淭he platform is cross-linked to well-established data infrastructures, such as the European Genome-phenome Archive (EGA) and the European Research Infrastructure for Imaging Technologies in Biological and Biomedical Sciences (Euro-BioImaging), to enhance and standardise data deposition, data security, harmonisation and sharing procedures.鈥�