Content Providers
Content provider type: Project
and Keywords: Cancer or Data policies or RDM or Training or Workflows or infrastructure
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ELXIR-UK DaSH
In 2021, ELIXIR-UK was granted a UKRI award for the ELIXIR-UK DaSH Fellowship. The University of Bradford leads the project with a delivery team at Cardiff University, the Earlham Institute, the University of Manchester, and the University of Oxford.
The project aims to embed Research Data...
70 training materials0 events (6 past events)ELXIR-UK DaSH https://elixiruknode.org/projects/elixir-uk-dash/ https://tess.elixir-europe.org/content_providers/elxir-uk-dash In 2021, ELIXIR-UK was granted a UKRI award for the ELIXIR-UK DaSH Fellowship. The University of Bradford leads the project with a delivery team at Cardiff University, the Earlham Institute, the University of Manchester, and the University of Oxford. The project aims to embed Research Data Management (RDM) know-how into UK universities and institutes by producing and delivering training in FAIR data stewardship using ELIXIR-UK knowledge and resources, such as the RDMkit and the FAIR Cookbook. It focuses on building capacity and professionalising data stewardship while leveraging the local expertise within diverse UK institutions – creating a data management culture change from within the institutions. /system/content_providers/images/000/000/652/original/elixir-uk-dash-logo.svg?1660752689 -
EOSC4Cancer
EOSC4Cancer will make diverse types of cancer data accessible: genomics, imaging, medical, clinical, environmental and socio-economic. It will use and enhance federated and interoperable systems for securely identifying, sharing, processing and reusing FAIR data across borders and offer them via...
1 training material0 events (1 past event)EOSC4Cancer https://eosc4cancer.eu/ https://tess.elixir-europe.org/content_providers/eosc4cancer EOSC4Cancer will make diverse types of cancer data accessible: genomics, imaging, medical, clinical, environmental and socio-economic. It will use and enhance federated and interoperable systems for securely identifying, sharing, processing and reusing FAIR data across borders and offer them via community-driven analysis environments. EOSC4Cancer’s well curated data sets will be essential input for reproducible and robust analytics and computational methods – including machine learning and artificial intelligence. EOSC4Cancer’s five use cases will cover the patient journey from cancer prevention over diagnosis to treatment, laying the foundation of data trajectories and workflows for future European Cancer Mission projects. /system/content_providers/images/000/000/747/original/Logo-eosc-cancer-RGB-horizontal-STANDARD.png?1711439233