Training materials
Keywords: DMP or Genome or computer-science or data management or licensing
and Authors: Jenny Ostrop or SIB Swiss Institute of Bioinformatics
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Make your research FAIRer with Quarto, GitHub and Zenodo
• beginnerFAIR data management reproducible research -
Introduction to Containers and Snakemake for Reproducible Research
• beginnercontainer data management high-performance computing reproducibility workflows marc robinson-rechavi group training -
Introduction to FAIR Research Data Management & Data Management Plan
• beginnertraining reproducibility data management data security open data mark ibberson group -
Introduction to openBIS
• beginnerbasic research data management data visualisation experimental biology interoperability reproducibility training -
Version Control with Git
• beginnerprogramming reproducibility data management -
Gene Expression made Useful Easily: Tools and Database of Bgee
• beginnerBgee genes and genomes evolution and phylogeny services and resources comparative genomics database curation data management data visualisation transcriptomics training marc robinson-rechavi group -
First Steps with Python in Life Sciences
• beginnerdata management data visualisation programming reproducibility training torsten schwede & thierry sengstag group mark ibberson group -
Docker and Singularity for Reproducible Research: Getting Started with Containers
• beginnerreproducibility container data management data security high-performance computing -
Slides
Slides DMP writing workshop for Researchers in Bergen online 21.04. - 22.04.2021
• beginnerData management Data retrieval Data handling Deposition Data management plan data management -
Slides
Data Management Planning workshop for new Life Science Projects
• beginnerData management Deposition Data handling Data retrieval data management plan NeLS TSD metadata sensitive data publication data protection storage identifiers DMP licensing Compliance data life cycle - collect data life cycle - reuse data life cycle - analyse data life cycle - process data life cycle - preserve data life cycle - share data life cycle - plan