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
https://b2drop.bsc.es/index.php/s/dGwxrkkArQEzXNF
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
Nadia Tonello
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
https://b2drop.bsc.es/index.php/s/QNMKXn7M3TQzwCt
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
Nadia Tonello
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
https://b2drop.bsc.es/index.php/s/KpcJ2fJYqgf5HsH
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
Nadia Tonello
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
https://b2drop.bsc.es/index.php/s/yA57gs5gNcfMdoK
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
Nadia Tonello
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
https://bioinformaticsdotca.github.io/metabolomics_2018
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.
David Wishart
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
https://bioinformaticsdotca.github.io/metabolomics_2018
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.
David Wishart
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
https://bioinformaticsdotca.github.io/metabolomics_2018
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.
David Wishart
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
https://bioinformaticsdotca.github.io/metabolomics_2018
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.
David Wishart
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
https://bioinformaticsdotca.github.io/metabolomics_2017
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.
David Wishart
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
https://bioinformaticsdotca.github.io/metabolomics_2017
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.
David Wishart
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
https://bioinformaticsdotca.github.io/metabolomics_2017
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.
David Wishart
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
https://bioinformaticsdotca.github.io/metabolomics_2017
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.
David Wishart
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
https://bioinformaticsdotca.github.io/metabolomics_2017
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.
David Wishart
Researchers
Graduate students
Biologists, Genomicists, Computer Scientists
Post-Doctoral Fellows