Introduction to FAIRDOM Version 1
External LinkFAIRDOM User Meeting, Lyon, France, 27 Oct 2018 Introduction to FAIRDOM Project and platforms
Export PNG
Download
Creators and Submitter
Views: 251
Created: 19th Oct 2021 at 16:55
Last updated: 19th Oct 2021 at 16:55
Last used: 29th Jun 2022 at 02:37
Tags AttributionsNone
Version History
Version 1 Created 19th Oct 2021 at 16:55 by Carole Goble
No revision comments
Related items
Professor of Computer Science University of Manchester Co-Director of the FAIRDOM Initiative and co-leader of the SEEK4Science Platform Development Deputy Head of Node ELIXIR-UK Co-lead ELIXIR Interoperability Backbone Platform Lead ISBE WP Data and Model Management Data lead SynBioChem Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals
Projects: SysMO DB, Whole body modelling of glucose metabolism in malaria patients, Manchester Institute for Biotechnology, FAIRDOM, ICYSB 2015 - International Practical Course in Systems Biology, GenoSysFat, DigiSal, FAIRDOM user meeting, FAIRDOM Templates
Institutions: University of Manchester - Department of Computer Science, Manchester Centre for Integrative Systems Biology, University of Manchester
https://orcid.org/0000-0003-4958-0184
Interested in systems + synthetic biology, biotechnology, mountaineering, swimming, running, and the occasional cup of tea. Once diagnosed as an ENFP.
FAIRDOM is establishing a support and service network for European Systems Biology. FAIRDOM is a joint action of ERA-Net ERASysAPP and European Research Infrastructure ISBE to establish a data and model management service facility for Systems Biology. Our prime mission is to support researchers, students, trainers, funders and publishers by enabling Systems Biology projects to make their Data, Operating procedures and Models, Findable, Accessible, Interoperable and Reusable (FAIR).
Projects: FAIRDOM, FAIRDOM user meeting, FAIRDOM Community Workers
Web page: http://fair-dom.org
FAIRDOM will establish a support and service network for European Systems Biology. We will serve projects in standardising, managing and disseminating data and models in a FAIR manner: Findable, Accessible, Interoperable and Reusable.
