4 materials found

Keywords: on-line  or Data Science 

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: Data management, FAIR data

Keywords: ELIXIR-CONVERGE, DMP, data management plan, research data management, FAIR principles, DMP tools, DMP templates, tools, template, competency, DMP evaluation, evaluation, on-line, 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-1cb1388d-cb82-458f-8f72-62bb55e66180 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 Data management FAIR data ELIXIR-CONVERGE, DMP, data management plan, research data management, FAIR principles, DMP tools, DMP templates, tools, template, competency, DMP evaluation, evaluation, on-line, e-learning, Spanish project manager Researchers
Research Data Management Introduction for researchers

Short summary of the previous session 1.Scope of the DM 2.DMP Content and structure Practical activities 3.Planning the DM of a simple project 4.DMP evaluation

Scientific topics: Data management, FAIR data

Keywords: ELIXIR-CONVERGE, DMP, data management plan, research data management, FAIR principles, DMP tools, DMP templates, tools, template, competency, DMP evaluation, evaluation, on-line, e-learning

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

Research Data Management Introduction for researchers http://tess.elixir-uk.org/materials/research-data-management-introduction-for-researchers Short summary of the previous session 1.Scope of the DM 2.DMP Content and structure Practical activities 3.Planning the DM of a simple project 4.DMP evaluation Data management FAIR data ELIXIR-CONVERGE, DMP, data management plan, research data management, FAIR principles, DMP tools, DMP templates, tools, template, competency, DMP evaluation, evaluation, on-line, e-learning Researchers PhD students
Data Management Plans and Policies

PDF with slides of the course: - Data management definitions - RDM and DM policy - DMPs: content and competencies - DMPs for European and National funded projects

Scientific topics: Data management, FAIR data

Keywords: ELIXIR-CONVERGE, DMP, data management plan, research data management, FAIR principles, DMP tools, DMP templates, tools, template, competency, on-line, e-learning

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

Data Management Plans and Policies http://tess.elixir-uk.org/materials/data-management-plans-and-policies PDF with slides of the course: - Data management definitions - RDM and DM policy - DMPs: content and competencies - DMPs for European and National funded projects Data management FAIR data ELIXIR-CONVERGE, DMP, data management plan, research data management, FAIR principles, DMP tools, DMP templates, tools, template, competency, on-line, e-learning project manager Researchers 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