TrainingMaterialWithWorkflow

Workflow Phase	Workflow Step	Suggested Training Material
Workflow-General	Workflow-General	FAIRification workflow https://www.go-fair.org/fair-principles/fairification-process/ How to make your data FAIR https://howtofair.dk/how-to-fair/ On FAIRification https://eeradata-platform.eu/wiki/index.php?title=Gap_analysis How to make your data FAIR https://www.openaire.eu/how-to-make-your-data-fair Make your research data FAIR - CESSDA https://www.youtube.com/watch?v=kIwHJ6DkFdc Let's make our data FAIR - FAIR Data Austria
I - User-centric design	1. Pinpoint target group	FAIR awareness quiz https://fairaware.dans.knaw.nl/ FAIR made easy for funders - GoFair https://www.go-fair.org/today/fair-funder/
I - User-centric design	2. Define descriptive data
I - User-centric design	3. Identify query scenarios
I - User-centric design	4. Design data model	*File formats - Interoperability - FAIR Office Austria office.at/fileformates/?lang=en FAIR sharing data https://fairsharing.org/ Machine-actionable metadata models https://www.nature.com/articles/s41597-022-01707-6 Publication of data https://fair-office.at/publikation-von-daten/?lang=enList of metadata standards https://www.dcc.ac.uk/guidance/standards/metadata/list Data standards https://resources.data.gov/standards/concepts/ Metadata_standards_in_the_energy_domain_that_allow_machine-actionability https://eeradata-platform.eu/wiki/index.php?title=Main_Page#Metadata_standards_in_the_energy_domain_that_allow_machine-actionability Energy domain standards https://fairsharing.org/search?fairsharingRegistry=Standard&q=energy
II - Pre-FAIRification	5. Set FAIRification objective	Value of FAIR data - ELIXIR Europe https://www.youtube.com/watch?v=2iWf4XtnzkI&t=2s Why FAIR data https://eudat.eu/news/why-is-fair-data-important-in-2022 FAIR principles explained https://www.go-fair.org/fair-principles/ FAIR principles - Ghent University https://fair-office.at/fair-prinzipien/?lang=en FAIR principles - FAIR Office Austria https://fair-office.at/fair-prinzipien/?lang=en
II - Pre-FAIRification	6. Analyse data
II - Pre-FAIRification	7. Analyse metadata	How to analyse metadata https://eeradata-platform.eu/wiki/index.php?title=Contents_for_analysing_metadata#The_quality_of_metadata References on metadata https://eeradata-platform.eu/wiki/index.php?title=References_on_metadata
III - FAIRification	8. Define semantic model	Ontology learning https://en.wikipedia.org/wiki/Ontology_learning DMP Common Standard Ontology for machine-actionable DMPs https://github.com/RDA-DMP-Common/RDA-DMP-Common-Standard
III - FAIRification	9. Link data and metadata	Linked Data and the Semantic Web https://pitt.libguides.com/metadatadiscovery/linked-data Best Practices for Publishing Linked Data https://www.w3.org/TR/ld-bp/ Data and Metadata Quality - Publications Office of the European Union https://www.youtube.com/watch?v=PcyJX8xbyik
III - FAIRification	10. Host FAIR data	FAIR sharing data https://fairsharing.org/ The role of data stewards- FAIRSFAIR https://www.youtube.com/watch?v=EaXTS88jt6U Clearing FAIR hurdles: PIDs,Metadata,Semantic Interoperability for Data Stewards & Service providers - FAIRSFAIR https://www.youtube.com/watch?v=0ibLTYHjJIg What does a data steward do? - FAIRSFAIR https://zenodo.org/record/4572719#.Y4mvJ3ZBwUF Data licences - Howtofair https://howtofair.dk/how-to-fair/data-licences/ Licenses for FAIR research data - FAIR Daa Austria https://www.youtube.com/watch?v=eCdsgUhFBy0
IV - Post-FAIRification	11. Access data, test objective	Persistent identifiers, data citation , and open data - Codata RDA Science School 2019 https://vimeo.com/620062523 Data management plans https://fair-office.at/dmp/?lang=en
IV - Post-FAIRification	12. Test with FAIR assessment tools	FAIR evaluation tool https://fairsharing.github.io/FAIR-Evaluator-FrontEnd/#!/collections/new/evaluate FAIR assessment tools https://eeradata-platform.eu/wiki/index.php?title=Contents_for_analysing_data FAIR data self-assessment tool https://ardc.edu.au/resource/fair-data-self-assessment-tool/

Open Data

How to open data https://okfn.org/opendata/how-to-open-data/ Open Science - FAIR Office Austria https://fair-office.at/offene-wissenschaft/?lang=en FAIR and Open data - FAIR Office Austria https://fair-office.at/fair-data-vs-open-data/?lang=en Research data, FAIR and Open - Fair Office Austria https://fair-office.at/fdm/?lang=en Open and responsible research - FAIRSFAIR https://zenodo.org/record/5840202#.Y4mumnZBwUE RDM, FAIR, and Open Science - FAIRSFAIR and EOSC Synergy https://zenodo.org/record/5839991#.Y4mu4nZBwUE How to address Open Science in European projects? - FAIR Data Austria https://www.youtube.com/watch?v=Vuw-sSl2a74

FAIR data glossary

How to FAIR vocabulary https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1009041