In Person Training: Making Data FAIR and sustainable
Are you a researcher or a research technical professional? Do you want to make your research data sustainable so that it can benefit research into the future? Have you heard of the FAIR (Findable, Accessible, Interoperable and Reusable) Principles but aren’t sure how to implement them? Do you want to learn through practical examples and exercises?
By the end of this course you will be able to:
· understand research digital objects and persistent identifiers
· identify open tools for interoperability and sustainable reuse
· create data terms of use and access protocols
· describe datasets and give examples of data description practices from various research fields
· understand rich metadata and its role in long-term reuse
This in-person course is adapted from the FAIR Research Data Coursebook and is being piloted as part of the STEP-UP project which supports digital research technical professionals through training, mentoring and career support.
Participants are expected to attend all three sessions to gain the full benefit of the course. Each session will include a mix of lectures, discussions, and hands-on exercises to reinforce learning. Participants will work in small groups to apply the concepts learned in each session to practical examples.