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Workshops

Open research workshops and resources

FAIR-enabling standards, repositories and policies - how FAIRsharing helps you

Across all disciplines, there are thousands of repositories (databases and knowledge bases), as well as community-developed standards for (the identification, citation and reporting of) digital objects such as datasets, software, materials. Making the right choice is challenging, but understanding this evolving landscape is essential: standards and repositories are pillars of the FAIR Principles. 

This workshop introduces FAIRsharing, a widely adopted, curated, informative and educational resource on standards, inter-related to repositories and policies, across all disciplines. FAIRsharing guides consumers to discover and select these resources with confidence, producers to make their resource more discoverable, more widely adopted, and powers third party tools by providing trustworthy content to promote standards and databases.

Learning Objectives

As a result of attending this workshop, you will grow your knowledge of how FAIRsharing can drive your decisions and activities, specifically by:

Learning functionality and content

  • How to discover appropriate standards (reporting guidelines, terminologies, formats and models) to describe and report data according to your research domain or requirements.
  • How to choose a repository (databases and knowledge bases) according to a variety of criteria including type of digital object (datasets, software, materials) domain and data access/deposition needs
  • How to register your institutional repositories and/or policies
  • How to create a FAIRsharing Collection and/or an Organization page to showcase repositories, standards and policy relevant to your discipline(s) or institution
  • How the FAIRsharing Assistant wizard helps with finding and selecting resources,
  • Examples of third party tools utilising FAIRsharing content for FAIR evaluation/assessment, DMP creation, KG development and more
  • Where to find documentation to access FAIRsharing content via its API to power relevant tools or services

Supporting your activities and decision-making

  • How to enhance your guidance and training material for researchers by endorsing and signposting FAIRsharing content and educational material
  • How to critically evaluate standards and repositories, to help researchers with FAIR management of digital objects, by providing a global view of their coverage, life cycle status and relationships 
  • How to meet the policy requirements, around standards and repositories, by funders, journal publishers, institutions and other organisations 
  • How to join the FAIRsharing Community Champion Programme for contributing to curation activities, expanding educational provision and gaining recognition, professional development and influence
  • About community activity around FAIR evaluation/assessment, including caveats/warnings and future directions

Audience

This workshop is designed for trainers (anyone developing or maintaining repositories, standards, and policies), as well as librarians, data stewards and those assisting researchers. However, all members of the research data community are most welcome. The course level is considered to be introductory - intermediate.

Prerequisites

Suitable for participants from all disciplines. Familiarity with FAIR Principles is advised.

Completion Criteria

After the workshop, participants will be expected to complete a short piece of work which may then be used in news items and social media to showcase UKRN, FAIRsharing, the participants and their organisations:

  • reflecting on what they learned and how they can utilise FAIRsharing within their training, 
  • creating user stories based on the skills they learned in the workshop that will help them understand how FAIRsharing can be used as a tool by the people they train
  • describing the possible benefits of the FAIRsharing Community Champions programme for you and which workstreams (content creation, outreach and/or educational material) would be most relevant for you.

Time Commitment

  • 1.5 hours workshop + 30 minutes of post-workshop feedback/completion criteria

Event Details

  • Dates/times: 25/09/2024, 13.00-14.30
  • Location: Online
  • Training Partner: University of Oxford - Data Readiness Group

Register

To express your interest in completing this training please complete the course registration form.

Register