Authors: David Wishart or Mijke Jetten
BioData.pt | ELIXIR Portugal, in collaboration with several other organizations has designed a program to train the first generation of Data Stewards for the life sciences, to support the implementation of data management, open science and FAIR data principles in Portuguese R&I organizations....
Scientific topics: Data management, Open science, FAIR data
Keywords: Data management plan, data-science, data-analysis, Data Integration, training, open science, data FAIRness, FAIR data, FAIR, FAIR principles, life sciences, data life cycle
Resource type: Training materials
This presentation is part of the 3rd edition of the Helis Academy FAIR data stewardship (for life sciences) course
Day 2, March 18, 2021
https://www.aanmelder.nl/fair-data-stewardship-2021
https://helisacademy.com/en/data-analysis-stewardship
Topic: introduction, wrap up
Scientific topics: Data management, FAIR data
Operations: Data handling
Keywords: FAIR, Data management planning
Resource type: Slidedeck
This presentation is part of the 3rd edition of the Helis Academy FAIR data stewardship (for life sciences) course
Day 5, March 29, 2021
https://www.aanmelder.nl/fair-data-stewardship-2021
https://helisacademy.com/en/data-analysis-stewardship
Topic: introduction, wrap up
Scientific topics: Data management, FAIR data
Operations: Data handling
Keywords: FAIR data, Data management planning
Resource type: Slidedeck
This presentation is part of the 3rd edition of the Helis Academy FAIR data stewardship (for life sciences) course
Day 4, March 24, 2021
https://www.aanmelder.nl/fair-data-stewardship-2021
https://helisacademy.com/en/data-analysis-stewardship
Topic: introduction, wrap up
Scientific topics: Data management, FAIR data
Operations: Data handling
Keywords: FAIR data, Data management planning
Resource type: Slidedeck
This presentation is part of the 3rd edition of the Helis Academy FAIR data stewardship (for life sciences) course
Day 6, March 31, 2021
https://www.aanmelder.nl/fair-data-stewardship-2021
https://helisacademy.com/en/data-analysis-stewardship
Topic: introduction, wrap up
Scientific topics: Data management, FAIR data
Operations: Data handling
Keywords: Data management planning, FAIR data
Resource type: Slidedeck
This presentation is part of the 3rd edition of the Helis Academy FAIR data stewardship (for life sciences) course
Day 3, March 22, 2021
https://www.aanmelder.nl/fair-data-stewardship-2021
https://helisacademy.com/en/data-analysis-stewardship
Topic: introduction, wrap up
Scientific topics: Data management, FAIR data
Operations: Data handling
Keywords: Data management planning, FAIR data
Resource type: Slidedeck
This presentation is part of the 3rd edition of the Helis Academy FAIR data stewardship (for life sciences) course
Day 1, March 17, 2021
https://www.aanmelder.nl/fair-data-stewardship-2021
https://helisacademy.com/en/data-analysis-stewardship
Topic: introduction, FAIR data stewardship...
Scientific topics: FAIR data, Data management
Operations: Data handling, Analysis
Keywords: Data management planning, FAIR data
Resource type: Slidedeck
This material is part of an follow up FAIR data stewardship workshop for the Marie Curie ITN ProEVLifeCycle (The prostate cancer Extracellular Vesicle LifeCycle)
FAIR and data stewardship - November 3th, 2021
Organiser: Dutch Techcentre For Life Sciences, DTL
Setup: Virtual meeting...
Scientific topics: FAIR data, Data management
Operations: Analysis, Data handling
Keywords: Data analysis, Data management planning, Data processing, Data sharing, Data collection, Data preserving, Data reuse
Resource type: Slidedeck
This material is part of an introductory FAIR data stewardship workshop for the Marie Curie ITN ProEVLifeCycle (The prostate cancer Extracellular Vesicle LifeCycle)
FAIR and data stewardship - October 14th, 2020
Organiser: Dutch Techcentre For Life Sciences, DTL
Setup: Virtual meeting...
Scientific topics: FAIR data, Data management
Operations: Analysis, Data handling
Keywords: Data analysis, Data management planning, Data processing, Data sharing, Data collection, Data preserving, Data reuse
Resource type: Slidedeck
This material is part of an introductory data stewardship workshop for the Marie Curie ITN COSMIC project (Combatting Disorders of Adaptive Immunity with Systems MedICine)
FAIR and data stewardship - September 18th, 2020
Organiser: PO5 (Dutch Techcentre For Life Sciences, DTL)
Setup: Virtual...
Scientific topics: Data management, FAIR data
Operations: Data handling, Analysis
Keywords: Data analysis, Data collection, Data management planning, Data preserving, Data processing, Data reuse, Data sharing
Resource type: Slidedeck
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.
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.
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.
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.
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.
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.
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.
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.
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.