Jordan's Digital Economy Ministry, with Japan's JICA and Amman-based Eqra Tech, used AI to repair national-ID links on 2M+ 1985–2004 exam records and reconcile 2.5M land records across two ministries — a data-quality fix under Jordan's 2023–2027 AI strategy.
2+ million
Tawjihi exam records with restored ID linkages (1985-2004 records, restored by mid-2025)
2.5+ million
Land records harmonised (completed mid-2025)
Details
Promoter
Ministry of Digital Economy and Entrepreneurship (Jordan), with JICA and Eqra Tech
Period
2024–2025
Keywords
digital government, data governance, civil records, land administration
Context
Jordan's Ministry of Digital Economy and Entrepreneurship signed an agreement with the Japan International Cooperation Agency (JICA) in December 2024 to apply AI to two long-standing government data-quality problems, with implementation carried out by Amman-based firm Eqra Tech under the project 'Using Artificial Intelligence for Government Data Cleansing in Selected Use Cases.'
Objectives
The project aimed to repair and harmonise two large, long-standing government datasets that conventional methods had failed to fix, as a foundation for more reliable analytics and decision-making rather than a citizen-facing service in its own right.
Activities
The first use case restored national-ID linkages on more than 2 million Tawjihi (General Secondary Education Certificate) exam records spanning 1985-2004, after conventional data-recovery methods had failed to reconnect historical results to citizens' national ID numbers. The second harmonised more than 2.5 million land records shared between the Ministry of Local Administration and the Department of Lands and Survey, unifying inconsistent coding systems between the two agencies' databases.
Results
Both projects were reported completed by mid-2025, restoring over 2 million exam records and harmonising over 2.5 million land records.
Conclusions
No source found discloses a numeric accuracy or match-rate figure, an independent audit, or a downstream measure of how the cleaned data has since improved a specific government service. The project is one of the more concretely completed items in Jordan's 2023-2027 AI Strategy and Implementation Plan, a 68-project roadmap on which most other announced activity remains at the strategy or training stage.
Implementation
Indicative cost
Medium (€50k–€500k) — JICA technical-cooperation agreement with Eqra Tech as implementer; project cost not disclosed in sources.
Time to results
Short (< 1 year) — Agreement signed December 2024; both use cases reported completed by mid-2025.
Staffing & skills
Ministry of Digital Economy and Entrepreneurship (Jordan), Japan International Cooperation Agency (JICA), technical cooperation, Eqra Tech (Amman-based implementer)
Conditions for success
Formal inter-agency agreement covering data shared between the Ministry of Local Administration and the Department of Lands and Survey
International technical-cooperation partnership (JICA) providing AI expertise
Embedding within Jordan's 2023-2027 AI Strategy and Implementation Plan for institutional backing
Common failure modes
No numeric accuracy or match-rate figure disclosed
No independent audit of the data-cleansing results
No downstream measure of how the cleaned data has since improved a specific government service
Where it fits
Governance type
national government with international donor partnership
Scale
national administrative datasets (millions of records across two ministries)
Income level
upper-middle income
Do you run this practice?
Claim it —
verified implementers get a public contact pathway and can propose corrections.
Data sources
Where this practice's information was retrieved from, and when.