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Keywords: Data managment plan  or Continuous integration 

and

Resource type: e-learning 

Elaboración de un Plan de Gestión de Datos (DMP): teoria y práctica

PDF with slides of the course in Spanish - Data management definitions - DMP Objectives - DMP Content and structure - Competencies needed - Practical session: DMP content analysis and evaluation

Scientific topics: FAIR data, Data management

Keywords: ELIXIR-CONVERGE, DMP, DMP tools, DMP templates, DMP evaluation, Data managment plan, research data management, FAIR principles, tools, template, competency, evaluation, online, e-learning, Spanish

Resource type: PDF, e-learning, slideck/ presentation

Elaboración de un Plan de Gestión de Datos (DMP): teoria y práctica http://tess.elixir-uk.org/materials/elaboracion-de-un-plan-de-gestion-de-datos-dmp-teoria-y-practica PDF with slides of the course in Spanish - Data management definitions - DMP Objectives - DMP Content and structure - Competencies needed - Practical session: DMP content analysis and evaluation FAIR data Data management ELIXIR-CONVERGE, DMP, DMP tools, DMP templates, DMP evaluation, Data managment plan, research data management, FAIR principles, tools, template, competency, evaluation, online, e-learning, Spanish operational manager IT support data manager project manager policy officer
The Turing Way

The Turing Way is a lightly opinionated guide to reproducible data science. Our goal is to provide all the information that researchers need at the start of their projects to ensure that they are easy to reproduce at the end. This also means making sure PhD students, postdocs, PIs, and...

Keywords: Data Science, Reproducibility, Version control, Reproducible Environment, Continuous integration

Resource type: e-learning

The Turing Way http://tess.elixir-uk.org/materials/the-turing-way The Turing Way is a lightly opinionated guide to reproducible data science. Our goal is to provide all the information that researchers need at the start of their projects to ensure that they are easy to reproduce at the end. This also means making sure PhD students, postdocs, PIs, and funding teams know which parts of the “responsibility of reproducibility” they can affect, and what they should do to nudge data science to being more efficient, effective, and understandable. Data Science, Reproducibility, Version control, Reproducible Environment, Continuous integration