Exercise: How FAIR is this publication package?

Findable

• By both humans and machines
• Include metadata that allow the discovery of interesting datasets

Accessible

• Stored for long term with technical access and well-defined legal conditions
• Open if possible

Interoperable

• Ready to be combined with other datasets
• Reusable

Reusable

• Ready to be used for future research

Assignment: Look up the following articles and complete the assignment on the next slide:

1. Achterberg, M., Dobbelaar, S., Boer, O.D. et al. Perceived stress as mediator for longitudinal effects of the COVID-19 lockdown on wellbeing of parents and children. Sci Rep 11, 2971 (2021). https://doi.org/10.1038/s41598-021-81720-8
2. Gaëtan Mertens, Lotte Gerritsen, Stefanie Duijndam, Elske Salemink, Iris M. Engelhard, Fear of the coronavirus (COVID-19): Predictors in an online study conducted in March 2020, Journal of Anxiety Disorders, Volume 74, 2020, 102258, ISSN 0887-6185. https://doi.org/10.1016/j.janxdis.2020.102258

I. For each article, on a scale of 1 to 10, how would you rate the FAIRness of the data?

• Findable: How easy is it to find the data?
• Accessible: How easy is it to access the data?
• Interoperable: Does the documentation help you understand the data?
• Reusable: Does the license allow you to reuse the data?

II. Discuss your scores with your group.