Reserve a time slot in the presentation schedule on Canvas including a presentation topic. You can still decide to present on a different topic until the last minute, but please specify one irrespective so that we know what to expect.
Please make sure that you understand the criterion for passing DAT121 as announced in the intro lecture (therein, slide no. 8): You need "substantial engagement" on at least five out of eight, and at least "minimal engagement" on at least six out of eight. There, each worksheet counts as one item, and the presentation as three. Without giving a presentation, it is therefore impossible to have the required six items with minimum engagement, and therefore those who do not present cannot receive the five studiepoeng / ECTS credits from the DAT121 module.
Formulate three competency questions related to the topic or domain that you chose to present on.
Some examples for competency questions are given in C. Bezerra et al., "CQChecker: A tool to check ontologies in OWL-DL using competency questions written in controlled natural language," Learning and Nonlinear Models 12(2): 115-129, doi:10.21528/lnlm-vol12-no2-art4, 2014 (therein, Tab. 2).
Look for an existing ontology that would be suitable to formally express two of your competency questions in. (So that it could e.g. be used to write them in SPARQL.) Good places to look for ontologies include the Linked Open Vocabularies and the Ontology Lookup Service.
Is this ontology well-designed, and is it FAIR? Evaluate it using the Oops and Foops tests. If the validator engines detect any shortcomings, are they explained so that they are clear and easy to understand, and if yes, would you agree that they are relevant?
Subscribe to one of the interest groups on Canvas and do participate in at least one of the two discussion sessions of this group. In the worst case, you lose 45 minutes; in the best case, it will help you jointly create some ideas and motivate future activities. The intended outcome of the group sessions was summarized as follows:
The glossary items for good practice are competency question, dark data, foundational ontology, persistent identifier, and reproducibility. The item "reproducibility" is highlighted for discussion. There are many definitions of reproducibility from different organizations and domains. But what kind of reproducibility would you concretely expect from published work in your domain of interest (presentation topic)? Give an example of what this would mean, and based on this attempt to give a definition of reproducibility in this context.
If you would like to advance good practices on reproducibility, the Norwegian Reproducibility Network could be of interest. Include a brief remark in your submission on Canvas if you would like to be involved/alerted once we create a node of the Norwegian Reproducibility Network for the institutions on Campus Ås, which should happen in the near future.
(submit through Canvas by end of 29th August 2023)