Jupyter notebook that uses GraphQL to implement EC-funded FREYA Project User Story 1: As a data center, I want to see the citations of publications that use my repository for the underlying data, so that I can demonstrate the impact of our repository.

Jupyter notebook that uses GraphQL to implement EC-funded FREYA Project User Story 10: As a funder, we want to be able to find all the outputs related to our awarded grants, including block grants such as doctoral training grants, for management info and looking at impact.

Jupyter notebook that uses GraphQL to implement EC-funded FREYA Project User Story 2: As a software author, I want to be able to see the citations of my software aggregated across all versions. so that I see a complete picture of reuse.

Jupyter notebook that uses GraphQL to implement EC-funded FREYA Project User Story 3: As an administrator for the University of Oxford I am interested in the reuse of research outputs from our university, so that I can help identify the most interesting research outputs.

Jupyter notebook that uses GraphQL to implement EC-funded FREYA Project User Story 4: As a funder I want to see how many of the research outputs funded by me have an open license enabling reuse, so that I am sure I properly support Open Science.

Jupyter notebook that uses GraphQL to implement EC-funded FREYA Project User Story 5: As a student using the British Library's EThOS database, I want to be able to find all dissertations on a given topic.

Jupyter notebook that uses GraphQL to implement EC-funded FREYA Project User Story 6: As a researcher, I am looking for more information about another researcher with a common name, but don’t know his/her ORCID ID.

Jupyter notebook that uses GraphQL to implement EC-funded FREYA Project User Story 7: As a data center, I want to see the citations of publications that use my repository for the underlying data, so that I can demonstrate the impact of our repository.

Jupyter notebook that uses GraphQL to implement EC-funded FREYA Project User Story 8: As a longitudinal study, I want to be able to deduplicate the metrics/impact for our data, so that I can see the impact of our study’s data as a whole.

Jupyter notebook that uses GraphQL to implement EC-funded FREYA Project User Story 9: As a bibliometrician, I want to know all the co-authors of a particular researcher, so that I can do a network analysis of the researcher's collaborations.