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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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What we cover

Coverage is partial and says so. A country appears with its research output only once its works have been swept; until then the portal shows whatever the graph happens to hold for it and labels it as exactly that.

Expanding Non-Patient COVID-19 Data: Towards the FAIRification of Migrants’ Data in Tunisia, Libya and Niger

2022Data IntelligenceJournalOpen access

10.1162/dint_a_00181 Full text5 citations

Authors

8 authors across 4 institutions in 3 countries.

Mariem GhardallouFirst authorCorresponding
- University of Sousse (TN)
Morgane Wirtz
Sakinat Oluwabukonla Folorunso
- Olabisi Onabanjo University (NG)
as printed: Sakinat Folorunso
Zohra Touati
- University of Sousse (TN)
Ezekiel Adebayo Ogundepo
as printed: Ezekiel Ogundepo
Klara Smits
Ali Mtiraoui
- University of Sousse (TN)
Mirjam Van ReisenSenior author
as printed: Mirjam van Reisen

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Research Data Management Practiceslevel 3 · 1.00
Scientific Computing and Data Managementlevel 3 · 0.98
AI in cancer detectionlevel 3 · 0.95

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2022 · Data Intelligence · 5 citations
https://openalex.org/W4293801898

Expanding Non-Patient COVID-19 Data: Towards the FAIRification of Migrants’ Data in Tunisia, Libya and Niger · Sankore