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13 materials found

Authors: David Wishart  or Nadia Tonello 


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
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
Informatics and Statistics for Metabolomics 2018 Module 6-Future of Metabolomics

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2018 Module 6-Future of Metabolomics http://tess.elixir-uk.org/materials/informatics-and-statistics-for-metabolomics-2018-module-6-future-of-metabolomics Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases. Researchers Post-Doctoral Fellows Graduate students Biologists, Genomicists, Computer Scientists
Informatics and Statistics for Metabolomics 2018 Module 3-Databases for Chemical, Spectral, and Biological Data

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2018 Module 3-Databases for Chemical, Spectral, and Biological Data http://tess.elixir-uk.org/materials/informatics-and-statistics-for-metabolomics-2018-module-3-databases-for-chemical-spectral-and-biological-data Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases. Researchers Post-Doctoral Fellows Graduate Students Biologists, Genomicists, Computer Scientists
Informatics and Statistics for Metabolomics 2018 Module 2-Metabolite Identification and Annotation

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2018 Module 2-Metabolite Identification and Annotation http://tess.elixir-uk.org/materials/informatics-and-statistics-for-metabolomics-2018-module-2-metabolite-identification-and-annotation Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases. Researchers Graduate students Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists
Informatics and Statistics for Metabolomics 2018 Module 1-Introduction to Metabolomics

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2018 Module 1-Introduction to Metabolomics http://tess.elixir-uk.org/materials/informatics-and-statistics-for-metabolomics-2018-module-1-introduction-to-metabolomics Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases. Researchers Graduate Students Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists
Informatics and Statistics for Metabolomics 2017 Module 6-Future of Metabolomics

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2017 Module 6-Future of Metabolomics http://tess.elixir-uk.org/materials/informatics-and-statistics-for-metabolomics-2017-module-6-future-of-metabolomics Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Informatics and Statistics for Metabolomics 2017 Module 5-MetaboAnalyst

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2017 Module 5-MetaboAnalyst http://tess.elixir-uk.org/materials/informatics-and-statistics-for-metabolomics-2017-module-5-metaboanalyst Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases. Researchers Graduate Students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Informatics and Statistics for Metabolomics 2017 Module 3-Databases for Chemical, Spectral, and Biological Data

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2017 Module 3-Databases for Chemical, Spectral, and Biological Data http://tess.elixir-uk.org/materials/informatics-and-statistics-for-metabolomics-2017-module-3-databases-for-chemical-spectral-and-biological-data Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases. Researchers Graduate Students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows
Informatics and Statistics for Metabolomics 2017 Module 2-Metabolite Identification and Annotation

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2017 Module 2-Metabolite Identification and Annotation http://tess.elixir-uk.org/materials/informatics-and-statistics-for-metabolomics-2017-module-2-metabolite-identification-and-annotation Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases. Researchers Graduate students Post-Doctoral Fellows Biologists, Genomicists, Computer Scientists
Informatics and Statistics for Metabolomics 2017 Module 1-Introduction to Metabolomics

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2017 Module 1-Introduction to Metabolomics http://tess.elixir-uk.org/materials/informatics-and-statistics-for-metabolomics-2017-module-1-introduction-to-metabolomics Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases. Researchers Graduate students Biologists, Genomicists, Computer Scientists Post-Doctoral Fellows