Material for the practical course on reproducibility of scientific analysis (plan de formación CSIC 2022)

🔰 L1.1 - Introduction to the course and platform 💊 Javier Moldón

🔰 L1.2 - Importance of Open Science and reproducibility 💊 Susana Expósito

🔰 L1.3 - Intro Github 💊 Javier Moldón

🔰 L1.4 - Version control, working environments. Tools and good practices in the scientific field 💊 Susana Expósito

🔰 T1.5 - Repository management platforms and collaborative science. GitHub 💊 Manuel Parra-Royón

🔰 L2.1 - Principios FAIR para recursos digitales 💊 Julian Garrido

🔰 T2.2 - Introduction to tools for repository management with git 💊 Manuel Parra-Royón

🔰 T2.3 - Going full version control with git 💊 Javier Moldón

🔰 T3.1 - Open source package managers (conda) 💊 Javier Moldón

🔰 T3.2 - Software containers (Singularity) 💊 Manuel Parra-Royón

🔰 L4.1 - Intro to workflow management systems 💊 María Ángeles Mendoza

🔰 T4.2 - Workflow management tools: snakemake (and airflow) 💊 Manuel Parra-Royón

🔰 T5.1 - Jupyter Notebook: The XXI century lab book 💊 Laura Darriba

🔰 T5.2 - Share your results with the World with Binder 💊 Javier Moldón

🔰 T6.1 - Open Science impact and policies 💊 Julián Garrido

🔰 T6.2 - Open your research results to the community 💊 Laura Darriba