Content Providers
Content provider type: Project
and Keywords: Bioinformatics or Cancer or Data analysis or RDM or Training or infrastructure or metabolic profiling or metabolome
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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 materials1 event (5 past events)ELXIR-UK DaSH https://elixiruknode.org/projects/elixir-uk-dash/ https://86.50.28.174/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 -
OpenRiskNet
The main objective of OpenRiskNet is to develop an open e-Infrastructure providing resources and services to a variety of communities requiring risk assessment, including chemicals, cosmetic ingredients, therapeutic agents and nanomaterials.
OpenRiskNet is
* a virtual research environment for...0 events (10 past events)OpenRiskNet https://openrisknet.org/ https://86.50.228.192/content_providers/openrisknet The main objective of OpenRiskNet is to develop an open e-Infrastructure providing resources and services to a variety of communities requiring risk assessment, including chemicals, cosmetic ingredients, therapeutic agents and nanomaterials. OpenRiskNet is * a virtual research environment for predictive toxicology and chemical and nanomaterial risk assessment, * harmonising access to data and facilitating interoperability of software, * easily deployable to single computers, public and in-house cloud solutions, * addressing the needs of industry and academic researchers, risk assessors, regulators and informed public. OpenRiskNet (Grant Agreement 731075) is a 3-years project funded by the European Commission within the Horizon2020 Programme /system/content_providers/images/000/000/097/original/ORN-Web_Logo3.png?1533933310 -
Cloud-SPAN
Cloud-SPAN deploys high quality learning resources that will train researchers to effectively generate and analyse a range of 'omics data using Cloud computing resources. The following activities and learning materials related to the project:
- Prenomics
- Genomics
- Create your own AWS...1 training materialCloud-SPAN https://cloud-span.york.ac.uk/ https://tess.elixir-europe.org/content_providers/cloud-span Cloud-SPAN deploys high quality learning resources that will train researchers to effectively generate and analyse a range of 'omics data using Cloud computing resources. The following activities and learning materials related to the project: - Prenomics - Genomics - Create your own AWS instance - Metagenomics - Statistically useful experimental design - Automation & pipelines (WIP) - Core R (WIP) /system/content_providers/images/000/000/658/original/cloud-span-logo-square.png?1666085149 -
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