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Data on Politically Exposed Persons in Nigeria and their relatives from the Joining the Dots project.
This is a dataset of Politically Exposed Persons (PEPs) in Nigeria and their relatives, as part of the Joining the Dots project.
This is a civil-society project using official sources as far as possible, complemented by other public sources. It aims to improve natural resource governance in Nigeria by enabling the discovery of relationships between people in political office and companies in the extractives industry.
The Joining the Dots Nigeria project also publishes a dataset of companies in the extractives industry and their beneficial owners. It further lists possible name matches between these beneficial owners and PEPs and their relatives.
However, these matches have not yet been confirmed due to the lack of strong identifiers in the available data. This dataset therefore currently only includes the PEPs and their relatives, but not the companies or ownership information.
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| Publisher: | Joining the Dots with PEPs (Nigeria) (Nigeria) non-official source This is a project by Directorio Legislativo with support from the Opening Extractives program (OpenOwnership and EITI) and the Nigeria Extractive Industries Transparency Initiative (NEITI). | ||||||
| Collections: | in Politically Exposed Persons (PEPs) · OpenSanctions Default | ||||||
| Information: | peps.directoriolegislativo.org | ||||||
| Source data: | peps.directoriolegislativo.org · XLSX | ||||||
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| Last checked: | · updated daily |
Downloads contain the full set of entities contained in this dataset. You can fetch a simplified tabular form, or detailed, structured data in JSON format. Updated files will be provided once a day at the same location.
| File name | Export type | Size | |
|---|---|---|---|
entities.ftm.json | FollowTheMoney entities | 3.02 MB | |
names.txt | Target names text file | 99.17 KB | |
pep_relatives.xlsx | PEP Relatives source data | 10.49 KB | |
peps.xlsx | PEPs source data | 182.13 KB | |
senzing.json | Senzing entity format | 2.57 MB | |
statistics.json | Dataset statistics | 801 B | |
targets.nested.json | Targets as nested JSON | 4.28 MB | |
targets.simple.csv | Targets as simplified CSV | 748.23 KB |
Help: Using the data · format reference · get support · commercial licensing
You can query the data in this dataset via the application programming interface (API) endpoints below. Please read the introduction for documentation and terms of service.
| Use the Reconciliation API in OpenRefine: | |
For full-text search, use the /search endpoint: | |
For entity matching, use the /match endpoint: |
The following targeted entities have been added to this data source most recently:
| Added | Name | Type | Countries |
|---|---|---|---|
| Giles Lever | Person | Nigeria | |
| Adolphus Nduneweh Wabara | Person | Nigeria | |
| Chinwe Obaji | Person | Nigeria | |
| Ibrahim Nasiru Mantu | Person | Nigeria | |
| Ruqayyah Ahmed Rufa'I | Person | Nigeria | |
| Sarah Alade | Person | Nigeria | |
| Segun Moses Oladimeji | Person | Nigeria | |
| Ibrahim Kuta | Person | Nigeria | |
| Daniel Saror | Person | Nigeria | |
| Jibril Aminu | Person | Nigeria | |
| Maimunat Adaji | Person | Nigeria | |
| Mohammed Aruwa | Person | Nigeria | |
| Olasehinde F. Mustapha | Person | Nigeria | |
| Oyekunle D. Mukaila | Person | Nigeria | |
| Tunde Ogbeha | Person | Nigeria |
OpenSanctions is free for non-commercial users. Businesses must acquire a data license to use the dataset.