FAIR Training 2nd Edition: How EMBRC is Helping Researchers Make the Most of Their Data
The second edition of the EMBRC FAIR training invites marine biologists, biodiversity scientists and laboratory technicians to enhance their skills in managing research data. This three-day training course, funded by EMBRC Headquarters and organised by its Belgium partners (VLIZ and the University of Ghent, focuses on helping participants make the most of their data by applying FAIR principles.
Since the first edition in 2024, EMBRC and its partners have committed to bringing together participants from all the over the world for a unique training combining lectures and interactive discussions. FAIR data is a particularly important topic for EMBRC because of its potential to push forward knowledge of biodiversity by helping the research findings spread widely.
Making research data accessible and reusable by others is really important as it adds to our knowledge and understanding of what goes on in the sea. Understanding FAIR data principles makes it easier for researchers to find and use each other’s data, giving their work a longer lifetime and helping it to reach more people. As well as benefiting individual marine scientists and data managers, this also helps important marine biodiversity research spread more widely.
Participants will learn how to make their data Findable, Accessible, Interoperable, and Re-usable (FAIR), as well as what the benefits are for their work and our marine ecosystems. The course will also include hands-on sessions to teach participants how to make their own datasets FAIR.
This practical, hands-on course is designed for:
- marine biologists
- PhD students
- future data managers
- lab technicians
- anyone with experience in collecting and managing data
Basic understanding of working with spreadsheets and some experience producing experimental data.
- Days 1-3 (online and in-person):
These days will offer a mix of lectures, exercises, interactive sessions, and discussions for both on-site and remote participants, covering:- Practical tactics for making different types of data FAIR and Findable online
- Various methods to make data Accessible
- Ensuring data and metadata are Interoperable (understandable by everyone)
- Understanding how provenance supports Reusability
- Day 3 afternoon (in-person only):
On this final afternoon, which is not available remotely, the VLIZ Data Centre will host a “Data FAIRness Clinic” practical session to teach participant show to make their own datasets FAIR and publishable.
20-30 participants
