This course has now reached capacity.
Please submit an Expression of Interest if you would like to be informed of future FAIR 101 courses.
The ARDC is offering an 8-week online FAIR Data 101 course commencing in early May to help those seeking to develop their skills in enabling FAIR data in practice. By the end of the course, participants will:
- Be familiar with the concept of FAIR data and its application in research
- Be able to articulate the benefits, barriers, challenges and opportunities in making data FAIR
- Have hands-on experience with techniques, services and tools (particularly those offered by the ARDC) for making data FAIR
- Be aware of and able to identify best-practice examples and benefits of FAIR data management
The course will follow a blended webinar and discussion format and is offered at the beginner to intermediate level. It is aimed at individuals working with or expecting to work with research data, including researchers, publishers, librarians, research data stewards, research infrastructure providers and research support staff.
The ARDC recognises that adopting the FAIR data principles can drive research innovation, impact, and quality. We have been working tirelessly to lead the charge on making data FAIR through the establishment of tools and projects to help advance the way Australian researchers manage and share data.
How will it work?
The 8 week course will cover the FAIR principles and run as fortnightly modules outlined below:
- 11 May - 22 May Module 1 - Findable
- 25 May - 5 Jun Module 2 - Accessible
- 8 Jun - 19 Jun Module 3 - Interoperable
- 22 Jun - 3 Jul Module 4 - Reuseable
Each module will be supported by:
- Two webinars
- Two community discussions
- Written course materials and exercises
- Group collaborative platform
At the end of the course, participants who have passed all the quizzes will receive a Certificate of Participation and a snazzy hex sticker.
What will I learn?
By the end of the course, participants will be able to:
- Demonstrate the concept of FAIR data and its application in research
- Articulate drivers, barriers, and challenges for enabling FAIR data
- Refer to hands-on experience with techniques, services and tools (particularly those offered by ARDC) for making data FAIR
- Identify best-practice examples of FAIR data management
Who is this for?
The course is aimed at individuals working with or expecting to work with data as researchers, publishers, librarians, or in research support, especially those seeking to develop their skills in managing FAIR data in practice and to understand the tools that can support them in doing this.
The first module (Findable) will commence from the 11 May 2020.
How do I find out more information?
How do I submit an Expression of Interest?
We are gauging community interest for a repeat course, please click the button below: