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FAIR Lesson Plan Handbook

Fieke Schoots, Martijn Kersloot

Data Stewards Interest Group | 6 March 2024

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Background

Publication of the FAIRsFAIR teaching and training handbook, addressing competencies, teaching and training designs, and 16 lesson plans on FAIR data

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Training on how to FAIRify data

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Hackathon series

As part of ELIXIR-CONVERGE, we organized hackathon series to further detail a set of lesson plans on FAIR.

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Aim

  • Joint effort to create lesson plans to facilitate trainers on implementing the FAIR principles in practice: how do you go/do FAIR?
  • Include links to already existing materials (e.g., knowledge clips, guidelines etc.) that organisations may implement in their training programs
  • Show the ‘gap’ between material that is already available and material that needs to be developed.

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Lesson plan template

  • Topic, definition and scope
  • FAIR element(s) (F, A, I and/or R)
  • Primary audience(s)
  • Learning outcomes
  • Summary of Tasks / Actions
  • Materials / Equipment
  • References
  • Take home tasks/preparation
  • Lesson plan authors (incl. ORCID)

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Units

  1. FAIR generics
  2. Findable data
  3. Accessible data
  4. Interoperable data
  5. Reusable data
  6. FAIR software
  7. Data repositories

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Unit 1 FAIR generics

  • Why FAIR?
  • FAIR vs open data (science)
  • Data Life Cycle approach to FAIR
  • FAIR and/in data management policies
  • Defining FAIR Objectives for a research project
  • Defining FAIR Objectives for Organisations
  • Policies and consent
  • FAIR and data management plans
  • CARE

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Unit 2 Findable data

  • Data/repository discovery
  • Persistent identifiers
  • Metadata standards

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Unit 3 Accessible data

  • Access protocols
  • APIs and FAIR Data Points
  • Access modes, sensitive data, registered access, controlled access

Unit 4 Interoperable data

  • Linked data and semantic web technologies
  • M4M workshop
  • Data vocabularies and ontologies
  • Standard file formats to make data interoperable
  • Validation of machine actionable metadata (schemas)
  • Data mapping

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Unit 5 Reusable data

  • Data quality/data curation practices
  • FAIR community standards
  • Data/ontology provenance
  • Data and software licensing
  • Reproducible scientific tools and digital objects
  • Automated FAIRness assessment
  • FAIR data visiting
  • Reproducibility

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Unit 6 FAIR software

  • FAIR Software
  • Version control, repository accessibility, registries
  • Software licensing
  • Software citations
  • Software quality checklists and FAIR principles

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Example: Topic 1 - Why FAIR?

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FAIR Data Day

29 November 2022

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ELIXIR All Hands Meeting

5-8 June 2023

‘Open educational resources and lesson plans for FAIR training’

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BioHackathon

October 30 - November 3, 2023

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  • Polished the Lesson Plans website & GitHub repo
  • Reviewed content of one lesson plan, to use as example

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BioHackathon

  • Drafted learning path (based on existing course)

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Lesson Plans website

https://elixir-europe-training.github.io/ELIXIR-TrP-FAIR-Converge/

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LEARN-FAIR proposal

Thematic Digital Competence Centers call (NWO)�

Life Science & Health Educational Alignment for Research and Networking �in FAIR Data Management

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Discuss

  • What topics/content do you (need to) teach in your organisation?
  • What topics aren't you teaching, but do you think should be taught?
  • Do you know of, or have created, relevant educational materials?
  • How would you like to search/browse educational materials and lesson plans related to FAIR Data Management?