Open dataset
The complete public AFROCite dataset in JSON format brings together published journal information and assessment results in a structured, machine-readable form.
Download the datasetOpen research resources
AFROCite data are available for inspection, reuse and verification
AFROCite makes the public data used in the pilot application available in both human- and machine-readable forms, supporting transparency, independent examination and further analysis.
Current data release: AFROCite v0.2.2
The complete public AFROCite dataset in JSON format brings together published journal information and assessment results in a structured, machine-readable form.
Download the datasetThe JSON Schema documents the structure of the public dataset, including available fields and value types, making the data easier to understand, validate and use programmatically.
Download the data schemaExplore journals through the dashboard and export the current results after applying search and filters, or export all journals as UTF-8 CSV.
Explore the dashboardJournal name, affiliated university or institution, country, African Union region, ISSN/eISSN, publication language and official journal URL.
Measurability results and the criteria used to establish whether reliable assessment is possible.
The twelve readiness indicators, four dimension scores and the calculated readiness score for each journal.
Public observations relating to visibility, retrievability and verification across the open scholarly infrastructures used by AFROCite.
Information needed to distinguish observed values, structural non-applicability and unverifiable states, together with the denominators used for percentage-based measures.
Open data are part of the design of AFROCite. They allow researchers and institutions to:
The current dataset represents a methodological pilot application of AFROCite. It is not a comprehensive inventory of African university journals and should not be used to estimate the prevalence of particular characteristics across Africa.
The data should not be used to construct best-to-worst rankings of journals or universities. Percentage-based analyses should take account of the recorded denominator and applicability state for each measure.
Read the methodology