TrainingMaterialWithWorkflow

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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