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3 materials found

Contributors: David Bouyssié  or Paulette Lieby 


FAIR data - Module 3 (Metadata)

Les Métadonnées : les standards du domaine des données omiques en biologie et séances pratiques d’annotations de jeux de données

Scientific topics: Data management, Biology, Bioinformatics

Operations: Data handling

Keywords: metadata, data annotation, life science standards, data sharing

Resource type: Slides

FAIR data - Module 3 (Metadata) http://tess.elixir-uk.org/materials/fair-data-module-3-metadata Les Métadonnées : les standards du domaine des données omiques en biologie et séances pratiques d’annotations de jeux de données Jean-François Dufayard Gautier Sarah Paulette Lieby Data management Biology Bioinformatics metadata, data annotation, life science standards, data sharing Biologists bioinformaticians Biomedical researchers
FAIR data - Module 1 (research data)

Research data and their centrality in the research process. This material is mostly in French.

Keywords: metadata, Data Life Cycle, Reproducibility, Data management plan

Resource type: Slides

FAIR data - Module 1 (research data) http://tess.elixir-uk.org/materials/fair-data-module-1 Research data and their centrality in the research process. This material is mostly in French. Gautier Sarah Hélène Chiapello Jean-François Dufayard Julien Seiler Lionel Maurel Paulette Lieby Thomas Denecker metadata, Data Life Cycle, Reproducibility, Data management plan Biologists bioinformaticians Biomedical researchers
IBIP19 - Integrative Biological Interpretation using Proteomics (2019)

Training Material aimed at researchers who are not expert in proteomics and want to integrate quantitative proteomics results into wider biomedical experiments.

Keywords: Proteomics

Resource type: Documentation, Exercise, Handout, Scripts

IBIP19 - Integrative Biological Interpretation using Proteomics (2019) http://tess.elixir-uk.org/materials/ibip19-integrative-biological-interpretation-using-proteomics-2019 Training Material aimed at researchers who are not expert in proteomics and want to integrate quantitative proteomics results into wider biomedical experiments. David Bouyssié Veit Schwämmle Marc Vaudel Proteomics Academia/ Research Institution Industry Non-Profit Organisation Healthcare