UBC Workshop 4: FAIR data and SPARQLing Genomics

How far can you go to make your data FAIR?

Presentation:

This session will shortly introduce the FAIR data principles and the efforts to realise them. Showcasing the differences between FAIRness on data-set level vs. FAIRness on data-file level, the challenges and thresholds will be discussed. Lastly, one of the options to create FAIR data - namely producing linked data - will be illustrated with the example of RDF and SPARQL.

Hands-On:

The first exercise offers to play around the ARDC FAIR data assessment tool to understand how data from different domains differ in their FAIRness.

The second and longer interactive session will provide the SPARQLing Genomics instance of the Center for Molecular Medicine to play around with SPARQL and get an idea how RDF works.

This session is wrapped up with a discussion and Q&A section.

In Detail:

Session:
FAIR data and SPARQLing Genomics

Presentation:
-Fair principles explained
- FAIR data two ways
- FAIR data applied
- Fair enough?

Interactive Exercises:
- FAIR data assessment tool exploration
- SPARQLing Genomics hands-on

Session Plan, Thursday 19th December 2019:

15:00-16:00

Intro
Ice-Breaker + Grouping
Presentation
Break
FAIR data Exercise
Exercise Discussion

16:00-17:00

Hands-on time for
SPARQLing Genomics

17:00

Snack and Drinks

Workshop 4 of 4

This research data management (RDM) workshop is the fouth part of a series of four. You can find the other workshops here:
1. Data Management Planning: https://ubc-rdm-workshop1-2019.eventbrite.nl
2. Documentation Writing and ELN: https://ubc-rdm-workshop2-2019.eventbrite.nl
3. Data Archiving and Data Publishing: https://ubc-rdm-workshop3-2019.eventbrite.nl

Header image credit: https://unsplash.com/@vansch