The talk presented by Carole Goble and Wolfgang Mueller at the SysMO evaluation conference 2013 in Berlin.
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Created: 22nd Feb 2013 at 14:54
Last used: 19th Jun 2018 at 00:02
Software Engineer and Architect working within the FAIRDOM team.
Leading the development of SEEK and RightField.
Projects: SysMO DB, FAIRDOM, ICYSB 2015 - International Practical Course in Systems Biology, de.NBI-SysBio, Regeneration and Repair in Acute-on-Chronic Liver Failure (LiSyM-ACLF - Pillar III), Early Metabolic Injury (LiSyM-EMI - Pillar I), Chronic Liver Disease Progression (LiSyM-DP - Pillar II), LiSyM Core Infrastructure and Management (LiSyM-PD), Liver Function Diagnostics (LiSyM-LiFuDi - Pillar IV), Molecular Steatosis - Imaging & Modeling (LiSyM-MSIM), Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF), Model Guided Pharmacotherapy In Chronic Liver Disease (LiSyM-MGP), The Hedgehog Signalling Pathway (LiSyM-JGMMS), Kinetics on the move - Workshop 2016, Example use cases, SBEpo - Systems Biology of Erythropoietin, FAIRDOM & LiSyM & de.NBI Data Structuring Training, MESI-STRAT, INCOMEorcid.org/0000-0002-4980-3512
I am group leader of the SDBV (Scientific Databases and Visualisation) group at the HITS gGmbH, the Heidelberg Institute for Theoretical Studies.
I am interested in finding data. Starting with my master's thesis I have always worked on how to store data in a way that you can find it, and how to make sense out of data that has been stored.
Within FAIRDOM I find interesting to help people to store their data in a way that they make sense even after years.
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
The main objectives of SysMO-DB are to: facilitate the web-based exchange of data between research groups within- and inter- consortia, and to provide an integrated platform for the dissemination of the results of the SysMO projects to the scientific community. We aim to devise a progressive and scalable solution to the data management needs of the SysMO initiative, that:
* facilitates and maximises the potential for data exchange between SysMO research groups;
* maximises the ‘shelf life’ and