How we build the data
Data Methodology
Degree Globe treats data as the product and the website as the interface to it. This page explains, in plain language, how our data is built and why you can trust how it’s labelled.
Our pipeline
Every record passes through the same automated steps before it appears on the site:
- Ingest — we pull records from reputable open data sources.
- Normalize — names, countries and identifiers are cleaned into a consistent format.
- Entity resolution — records that refer to the same institution (for example, “University of Manchester” and “The University of Manchester”) are matched using official identifiers, website domains and name + country, so we don’t create duplicates.
- De-duplication — confirmed matches are merged; anything ambiguous is set aside for review rather than merged blindly.
- Enrichment — where reliable sources allow, we add details such as ownership (public/private), type, city, founding year and research fields.
- Validation — automated checks catch duplicate IDs and missing critical fields before anything is published.
Data coverage tiers
Not every institution has the same amount of verified data. We label each with a data coverage level so you always know what you’re looking at:
- Comprehensive — rich verified data including programs, tuition, admissions, deadlines and scholarships where available.
- Standard — verified identity, location, type and recognition, with links where available.
- Basic — verified name, country and official website from open datasets.
Important: data coverage reflects how much verified information we currently hold — not the quality or ranking of a university. A “Basic” listing is not a lesser institution; we simply have less verified data for it so far.
Freshness and sources
Important fields carry their source and a “last checked” date, and university and scholarship pages include a Source & freshness section. Scholarship application windows are labelled expected when the official cycle for the year hasn’t been published yet — we never present an expected date as confirmed. See our Data quality page for the full list of sources and licenses.
What we will never do
- Invent universities, programs, tuition, deadlines, rankings or scholarship amounts.
- Present “data coverage” as if it were academic quality.
- Sell rankings or placements.
Where information isn’t available, we say so and point you to the official source. Today the platform covers 10,137 institutions across 200 countries, and it keeps growing as we verify more.
Corrections
Spotted an error? Use the report a correction form on any university page, or contact us. Accuracy is a shared effort and we’re grateful for it.