Helis Academy course FAIR data stewardship 2021, Day 1, Institute requirements
This presentation is part of the 3rd edition of the Helis Academy FAIR data stewardship (for life sciences) course Day 1, March 17, 2021
Helis Academy course FAIR data stewardship 2021, Day 1, Institute requirements
https://doi.org/10.5281/zenodo.4696049
http://tess.elixir-uk.org/materials/helis-academy-course-fair-data-stewardship-2021-day-1-institute-requirements
This presentation is part of the 3rd edition of the Helis Academy FAIR data stewardship (for life sciences) course
Day 1, March 17, 2021
Paula Jansen
Data management
FAIR data
Data preserving, Data reuse, Data management planning, Data sharing, FAIR data
PhD candidate
Helis Academy course FAIR data stewardship 2021, Day 1, Publisher requirements
This presentation is part of the 3rd edition of the Helis Academy FAIR data stewardship (for life sciences) course Day 1, March 17, 2021
Helis Academy course FAIR data stewardship 2021, Day 1, Publisher requirements
https://doi.org/10.5281/zenodo.4629784
http://tess.elixir-uk.org/materials/helis-academy-course-fair-data-stewardship-2021-day-1-publisher-requirements
This presentation is part of the 3rd edition of the Helis Academy FAIR data stewardship (for life sciences) course
Day 1, March 17, 2021
Egon Willighagen
Data management
FAIR data
Data management planning, FAIR data, Data preserving, Data sharing
PhD candidate
Workshop FAIR & Data stewardship for the 2021 ITN ProEVLifeCycle
This material is part of a FAIR data stewardship follow up workshop for the Marie Curie ITN ProEVLifeCycle (The prostate cancer Extracellular Vesicle LifeCycle)
Workshop FAIR & Data stewardship for the 2021 ITN ProEVLifeCycle
https://doi.org/10.5281/zenodo.5704716
http://tess.elixir-uk.org/materials/workshop-fair-data-stewardship-for-the-2021-itn-proevlifecycle
This material is part of a FAIR data stewardship follow up workshop for the Marie Curie ITN ProEVLifeCycle (The prostate cancer Extracellular Vesicle LifeCycle)
Mijke Jetten
FAIR data
Data management
Data analysis, Data management planning, Data processing, Data sharing, Data collection, Data preserving, Data reuse
PhD candidate