European life-science infrastructure for biological information
ELIXIR was established in 2014 as an intergovernmental organisation to ensure sustained life science resources across Europe. It presently includes 21 members and covers over 180 research organisations. ELIXIR unites Europe’s leading life science organisations in managing and safeguarding the increasing volume of data being generated by publicly funded research. ELIXIR coordinates, integrates and sustains bioinformatics resources across its member states and European Molecular Biology Laboratory and enables users in academia and industry to access services that are vital for their research.
The scientific and technical activities in ELIXIR are organised in scientific Communities as well as five Platformst that are Data, Compute, Interoperability, Tools and Training. Platforms bring together experts to define the strategy and provide services in a particular area. Communities bring together scientists who work in a specific domain (e.g. Plant Sciences). Scientists develop services targeted for their own domains and give feedback on the services the Platforms provide, to make sure that the services solve real world problems.
The Finnish ELIXIR Node is operated by CSC and it plays a fundamental part in broader life science research infrastructure in Europe. It provides cloud computing for European biomedical organizations, for easing international access to Finnish biobanks and supporting the creation of a catalogue of national genetic variation. CSC also leads the ELIXIR Compute platform, one of the five ELIXIR platforms, with the Czech Node and EMBL-EBI. CSC plays a significant role in the ELIXIR sensitive data strategy and implementation. For example, federated user identity and access management systems including handling of access to sensitive biological data have been enabled with information technology (REMS) created by CSC.
R&D projects related to ELIXIR programme
The Beyond 1 Million Genomes project helps to create a network of genetic and clinical data across Europe. The project provides coordination and support to the 1+MG Initiative and will create long-term means of sharing data and enabling access beyond 1 million genomes.Lue lisää »
BIGPICTURE, a pathology-led project, has the vision to become the catalyst of digital transformation in Pathology. Our mission is to create the first European GDPR compliant platform, in which both quality-controlled Whole Slide Imaging (WSI) data and advanced Artificial intelligence (AI) algorithms exist.Lue lisää »
BioExcel-3 will grow and sustain the Life Science HPC community in Europe, and its success will be measured by the ability to support codes and train scientists who produce almost 10,000 scientific papers and numerous industrial projects every year.Lue lisää »
CINECA aims to provide a standardized, secure and scalable discovery and analysis infrastructure for data collected from national cohorts and disease collections. The consortium includes access to more than 1.4 million samples maintained by the biobank network in Europe, Africa and CanadaLue lisää »
The EHDS2 Pilot project will build and test a first version of European Health Data Space (EHDS) by interconnecting data provider platforms in a network of nodes, defining common standards for security, metadata catalogs, data quality and interoperability, and legal requirements based on use cases.Lue lisää »
The European Joint Programme on Rare Diseases brings over 130 institutions from 35 countries to create a comprehensive, sustainable ecosystem allowing a virtuous circle between research, care and medical innovation.Lue lisää »
ELIXIR, the European life-science infrastructure for biological information, is a unique and unprecedented initiative that consolidates Europe's national centres, services, and core bioinformatics resources into a single, coordinated infrastructure.Lue lisää »
ELIXIR-CONVERGE is a project funded by the European Commission to help standardise life science data management across Europe. To achieve this standardisation, the project will develop a data management toolkit for life scientists.Lue lisää »
EOSC-Life brings together the 13 Biological and Medical ESFRI research infrastructures to create an open collaborative space for digital biology. EOSC-Life implements the Life Science part of the EOSC under coordination of ELIXIR, European infrastructure for Life Science Information.Lue lisää »
EOSC4Cancer will make cancer genomics, imaging, medical, clinical, environmental and socio-economic data accessible. It will use and enhance existing federated and interoperable systems for securely identifying, sharing, processing and reusing FAIR cancer data across borders, and offer them via community-driven analysis environments.Lue lisää »
The Genomic Data Infrastructure (GDI) project brings together national agencies, research organisations, and technology providers in 22 countries to provide a cross-border federated network of national genome collections for advancing data-driven biomedical research and personalised medicine solutions to benefit citizens of Europe.Lue lisää »
The aim of HealthyCloud is to drive the convergence of and align all the knowledge and expertise in health data, spread across European and international actors, to set the foundations for a future European Health Research and Innovation Cloud (HRIC), which will become a fundamental part of the EHDS.Lue lisää »
HEAP will provide a research resource for an integrated and efficient analysis of the human exposome. HEAP will launch a state-of-the-science informatics infrastructure composed of prime ICT resources, accessed through a software platform to provide data warehousing and applied AI.Lue lisää »
The objective of Heilsa Tryggvedottir e-Infrastructure collaboration is to productise and build on NeIC Tryggve project to increase interoperability of the Nordic e-Infrastructure to support data management, including requirements for data quality, standards, technical infrastructure, while also considering ethical, legal, and societal issues.Lue lisää »
The aim of INTERVENE is to build the largest pool of health data to date and integrate longitudinal and disease-relevant omics data into genetic risk scores with unprecedented potential for prediction, prognosis, and personalised treatments of complex and rare diseases.Lue lisää »