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ELIXIR

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This presentation was given as part of the EOSC Stakeholders Forum Scientific Community Workshop which gives the opportunity to prospective consumers and providers - from both the public and commercial sectors - to discuss needs and opportunities that should drive the definition of the EOSC service portfolio roadmap. This workshop aims to answer the following:

- What prospective needs and priorities do scientific communities have as consumers of the EOSC?
- How should EOSC facilitate the sharing of data, scientific outputs and services across national and organisational borders?

The workshop starts with a presentation of today’s state of play in federating resources and services to enable multi-disciplinary science and transnational access; it featured invited talks from representatives of digital infrastructures, research projects and communities and the long-tail of science. The workshop also involved representatives from both public and commercial organisations in their role as a service provider and service consumer. The workshop participants also took the opportunity to define a list of recommendations giving direction to the development and provisioning of the EOSC portfolio.

Published in: Science
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ELIXIR

  1. 1. ELIXIR’s mission is to operate a sustainable European infrastructure for biological information, supporting life-science research and its translation to society, the bio- industries, environment and medicine ELIXIR’s strategy is to connect national bioinformatics centres and EMBL-EBI into a distributed infrastructure build from coordinated national and international data resources, tools and services
  2. 2. What are the ELIXIR services? ELIXIR Platforms bring coordinate services provided by our nodes Beacons/Local EGA – Federated Genomics Discovery & Query services ELIXIR / Life Science AAI ELIXIRCommunities bring together Node experts and users around standards and ELIXIR services Plant Community: Standards and services for federated plant phenotyping data
  3. 3. ELIXIR in 2023: ‘Well-connected and collaborating Nodes allow users to access and extract knowledge from large and distributed life science data sets’

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