FAIR principles applied to bioinformatics

The French Institute of Bioinformatics (IFB) has organised in partnership with the Institute of Integrative Biology (I2BC) a training course for bioinformaticians and biostatisticians wishing to implement the "FAIR" principles (Findable, Accessible, Interoperable, Reusable) in their analysis and development projects.The FAIR concepts, initially defined in the context of opening up research data, have here been adapted to fit in with a typical bioinformatics/biostatistics development and/or analysis project. Thus, the training does not address the "FAIR" aspects of the data but introduces several tools to improve the reproducibility of the analyses.

Keywords: FAIR, Reproducible Science, Open science, Data analysis, Data processing

Resource type: Training materials

Target audience: bioinformaticians, software developers, bioinformaticians, computational scientists, Researchers

Difficulty level: Intermediate

Licence: GNU General Public License 3.0

Authors: Thomas Denecker, Claire Toffano-Nioche, Céline Hernandez, Julien Seiler, Gildas Le Corguillé

Contributors: Hélène Chiapello

DOI: https://zenodo.org/record/4280599#.X7fnjS1zjok

FAIR principles applied to bioinformatics https://tess.elixir-europe.org/materials/fair-principles-applied-to-bioinformatics Content of the training material: - Introduction to reproducibility - encapsulate a work environment (docker) - design and execute workflows (snakemake) - IFB infrastructure (Slurm cluster) - managing software versions (git) - managing software environments (conda) - ensure the traceability of analysis using Notebooks. The training material is in french Hélène Chiapello FAIR, Reproducible Science, Open science, Data analysis, Data processing bioinformaticians software developers, bioinformaticians computational scientists Researchers