Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
0Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5151980048
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Uchechi Mary-Linda Unamma (openalex, provider refresh)
- Uchechi Mary-Linda Unamma (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Organizational Efficiency: 1 paper
- Skill Acquisition: 1 paper
- Adoption Rate: 1 paper
- Hiring: 1 paper
- Innovation Output: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| Data infrastructure and cloud tools have lowered technical barriers, but governments convert data into public value only when skills, institutions and governance are built alongside technology; the authors propose a five-level national analytics maturity model and a targeted research agenda to close the gap.openalex | Uchechi Mary-Linda Unamma provider id |
2026-09-17 | 0 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.