African Open Data Readiness Index for AI (AODRIA)

Benchmarking Open Data for AI Innovation in Africa

Methodology Version 1.0 | 27 February 2026 | Public Release

Overview

The African Open Data Readiness Index for AI (AODRIA) is a continental benchmarking framework designed to evaluate datasets based on their readiness for AI, openness, governance, sustainability, and socio-economic impact. This methodology underpins the Africa Data Stewardship Award 2026, transforming subjective assessment into a transparent, reproducible, and actionable scoring framework.

Developed by: AI Made in Africa / GIZ African Union

Evaluation Pillars

Each dataset is evaluated across five core pillars using a 1–5 scale. Pillars are weighted based on their importance for AI readiness and data stewardship.

AI Readiness

Machine-readable, structured, and usable for AI models. Includes format quality, labeling consistency, and preprocessing requirements.

Weight: 30%

Openness

Accessible and openly licensed for reuse. Evaluates license clarity, access barriers, and distribution channels.

Weight: 20%

Governance & FAIR

Ethical, documented, and aligned with FAIR principles (Findable, Accessible, Interoperable, Reusable).

Weight: 20%

Socio-Economic Impact

Real-world applications and measurable benefits. Evidence of policy use, research citations, or development outcomes.

Weight: 15%

Sustainability

Maintained, updated, and institutionally supported. Evaluates update frequency, hosting stability, and long-term viability.

Weight: 15%

Scoring Methodology

Each dataset is scored across five pillars using a 1–5 scale (1=Poor, 3=Good, 5=Excellent). The final AODRIA score is calculated using a weighted formula and normalized to 100.

AODRIA Score = [(AI × 30%) + (O × 20%) + (G × 20%) + (SE × 15%) + (S × 15%)] × 20

AI Readiness
Weight: 30%
Scale: 1-5

Openness
Weight: 20%
Scale: 1-5

Governance & FAIR Compliance
Weight: 20%
Scale: 1-5

Socio-Economic Impact
Weight: 15%
Scale: 1-5

Sustainability
Weight: 15%
Scale: 1-5

Score Range: 20 (minimum) to 100 (maximum)

Classification Tiers

Datasets are classified into tiers based on their final AODRIA score. Tier classification determines award eligibility and recognition level.

Platinum

90-100 Africa Data Stewardship Award Winner

Gold

80-89 Excellence in Data Stewardship

Silver

70-79 Emerging Data Leader

Bronze

60-69 Recognised Dataset

Needs Improvement

<60 Feedback & Capacity Building

Eligibility Criteria

Criterion	Requirement	Verification
Africa Relevance	Data from or applicable to African contexts	Declaration + Review
Accessibility	Open Data or Managed Access	Access Test
Machine-Readability	CSV, JSON, XML, GeoJSON, Parquet	Format Check
Active Status	Updated within last 3 years	Metadata Review
Language	EN, FR, PT, AR, or SW metadata	Landing Page Review

Exclusion Criteria

Contains undisclosed personal data (PII) without ethical clearance
Violates national data protection laws or AU Data Policy Framework
Behind prohibitive paywalls (> $50 USD for access)
No identifiable publisher or custodian
Duplicates of already-submitted datasets

Methodology Document

Download the full AODRIA Methodology Version 1.0 for detailed scoring rubrics, evaluation guidelines, and jury instructions.

Download PDF Download Word

Licensed under CC-BY 4.0 | DOI: https://zenodo.org/records/19187501

Submit a Dataset

Contribute datasets for evaluation in the Africa Data Stewardship Award 2026. Join the continental movement for AI-ready open data.

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Submission Deadline: 30 June 2026