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DRAFT - WORK IN PROGRESS

Example of Competency Questions used for designing core metadata schema

As part of creation of core metadata schema (based on DCAT-AP), Health-ri drafted have crafted a set of competency questions which showcase how the minimum core metadata schema can be useful for fulfilling the needs for finding and searching a different types of research resource. We first present a table of our competency question list with the setting they correspond to and answers, and, we then present SPARQL query implementations for these questions.

The requirements covers the minimum needs to fulfill the requirements for finding (discoverability) research resources in particular datasets on health-ri portal.

The core metadata schema provides generic, top level elements and is independent of the health and scientific domain.

Example Competency Question

Candidate Answers

Q1. What types of datasets are available in the catalog?

Q2. What metadata fields are used to describe each dataset?

Q3. What types of data formats are supported in the catalog?

Q4. How can users search for datasets based on their domain or subject matter?

Q5. Can users search for datasets by the creator or author person or insitution?

Q6. How can users filter datasets by publication date or update date?

Q7. Are there any restrictions or licensing information associated with the datasets, and can users filter by licensing type?

Q8. Can users search for datasets based on geographic location or spatial extent?

Q9. How can users discover datasets related to specific research topics or keywords?

Q10.Are there any APIs or programmatic access methods available for retrieving dataset information?

Q11. What are the available methods for accessing and downloading datasets?

Q12. How are datasets categorized or grouped into thematic collections or categories?

Q13. Can users find datasets based on their data source or origin?

Q14. Are there any specific quality or validation criteria associated with the datasets, and can users filter by dataset quality?

Q15. Can I find datasets related to specific research initiative or Project? what can be the search keywords?

Q16. What data transformation or preprocessing options are available through the service (e.g., data aggregation, filtering, sorting)?

Q17. What other research resources can be searched in the catalogue?

Given these generic questions, we collected the core nomenclature in order to use for classification and modelling purposes. The terminology sheet is accessible here.

https://docs.google.com/spreadsheets/d/1KKfAxn4ftoOAM2v3WsqT2XcPhdmTjnf1BZkvFf9FqF8/edit#gid=0

SPARQL QUERIES

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