FAIR Data Training Resources

Last updated:

18 November 2024

Type:

Guide

Format:

Webpage
Read time: 4 minutes

The ARDC offers free training courses and training resources in FAIR data. They are designed for researchers, research data managers, data librarians and IT support staff.

There’s also a wide range of free FAIR data training resources for researchers available online, run by various training providers around the world.

  • Higher-degree researchers (HDRs) / PhD candidates
  • Early-/mid- career researchers (EMCRs)
  • Senior researchers
  • Infrastructure providers (including research facilities)
  • Data custodians/managers
  • Digital skills trainers
  • Government
  • Industry

By the end of reading this resource, you should be familiar with and able to access a wide range of FAIR data training resources by the ARDC and providers around the world.

FAIR Data 101

FAIR Data 101 is an openly available training course by the ARDC for:

  • individuals working with data, such as researchers, publishers, librarians or those working in research support
  • anyone seeking to develop their skills in enabling FAIR data in practice.

The course features self-paced videos, Q&A sessions, activities and quizzes for each of the 4 components of FAIR – findability, accessibility, interoperability and reusability.

The activities and quizzes will require 6 hours. Watch the presentations and Q&A discussions will require an extra 12 hours.

By the end of the course, you’ll:

  • understand the motivation behind the FAIR principles
  • remember that “FAIR” stands for “findable”, “accessible”, “interoperable” and “reusable”
  • develop skills in managing FAIR data in practice
  • understand the tools that can support FAIR data management
  • identify best practice examples of FAIR data management.

Start the FAIR Data 101 training course.

You’re also encouraged to reuse or repurpose these materials via our GitHub repository. All content from FAIR Data 101 is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. To reuse please use the following citation:

Stokes, L., Liffers, M., Burton, N., Martinez, P. A., Simons, N., Russell, K., McCafferty, S., Ferrers, R., McEachern, S., Barlow, M., Brady, C., Brownlee, R., Honeyman, T., & Quiroga, M. del M. (2021, July 13). ARDC FAIR Data 101 self-guided. Zenodo. https://doi.org/10.5281/zenodo.5094034

Top 10 FAIR Data and Software Things

We developed the Top 10 FAIR Data and Software Things as part of an online global sprint. Participants from around the world developed ‘things’, which are standalone, self-paced training materials that can be used by research communities to understand FAIR in different research disciplines and contexts and also as starting points for conversations with partners around FAIR.

Our Top 10 FAIR Data and Software Things cover:

  • oceanography
  • research software
  • research libraries
  • research data management (RDM) support
  • international relations
  • humanities – historical research
  • geoscience
  • biomedical data producers, stewards and funders
  • biodiversity
  • Australian Government data or collections
  • archaeology.

View and download our Top 10 FAIR Data and Software Things.

FAIR Data Self-Assessment Tool

Our FAIR Data Self-Assessment Tool can help you check the FAIRness of a dataset and illustrate how to enhance its FAIRness.

The tool is freely available for use by researchers and in training or consultation.

FAIR Data Webinars

The ARDC runs a range of webinars on FAIR data, recordings of which are available on the ARDC YouTube channel.

Digital Research Skills Australasia (DReSA)

The ARDC’s Skills and Workforce Development team brings partners, lead agencies, peak bodies and other stakeholders together to create and implement a National Digital Research Skills Agenda.

Through our agenda, we have established Digital Research Skills Australasia (DReSA) and are:

  • developing national skills materials
  • building digital research skills communities
  • providing a national skills advantage.

Communities of Practice

We facilitate many FAIR-related communities and groups.

Explore and join our communities and groups.

Further FAIR Data Training Resources

Explore FAIRsharing, a curated, informative and educational resource on data and metadata standards, interrelated to databases and data policies, hosted at the University of Oxford.

See also:

Stay tuned for our upcoming events on FAIR data by subscribing to the ARDC Connect newsletter.