Collaboration on gathering or measuring data for SDG progress and indicators at the international level.
International SDG Data Collaboration (17.2.3)
Introduction:
Al-Ahliyya Amman University (AAU) adopts a data-driven and globally oriented approach to measuring Sustainable Development Goal (SDG) progress through active collaboration with international partners. Guided by SDG 17.18, which emphasizes data capacity, quality, and comparability, AAU works closely with universities, NGOs, research networks, and international bodies to co-design indicators, harmonize datasets, and strengthen methodological rigor.
Through the Sustainability & International Ranking Center and the Global Engagement Center, the university contributes structured datasets, metadata, and methodology notes to global sustainability networks, regional consortia, and multi-country SDG research initiatives. These collaborations advance transparent evidence production across thematic priorities such as quality education (SDG 4), digital health and public health (SDG 3), innovation and sustainable industry (SDG 9), clean energy and climate action (SDG 7 & 13), and reduced inequalities (SDG 10).
AAU’s international SDG data partnerships adhere to FAIR data principles (Findable, Accessible, Interoperable, Reusable) and follow SDMX-style documentation to ensure all outputs are verifiable, comparable, and reusable by international stakeholders, positioning the university as a regional contributor to global SDG evidence systems.
Centers and Departments:
01
7. Computer Center
Manages AAU’s ICT infrastructure and data-security systems.
Provides technical support for data integrity, cloud sharing, and cybersecurity of international SDG datasets.
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Activities:
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3. Memorandum of Understanding with Al-Hussein Society for Training and Inclusion – Inclusive Data and SDG 10 Disaggregation
AAU partnered with the Global Academy for Digital Health and AI to develop data-collection methodologies and indicators for digital health and medical innovation.
The collaboration includes exchanging anonymized research datasets, harmonizing metadata, and aligning measurement protocols with international standards, supporting SDG 3 (Good Health and Well-Being), SDG 9 (Industry and Innovation), and SDG 17 (Partnerships for the Goals).
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Impact Evaluation & Development Plan
A. Performance Evaluation
AAU demonstrates strong and credible performance in international SDG data collaboration by contributing standardized datasets, participating in global evidence-sharing platforms, and engaging in cross-border research projects. Between 2023 and 2025, the university delivered quality-assured data submissions to international sustainability frameworks, partnered with global institutions on SDG indicator research, and expanded its role in data-driven decision-support mechanisms.
Key performance components include:
- Structured SDG Data Submissions
AAU provides annual sustainability datasets—with accompanying evidence, methodologies, and KPIs—to international bodies and ranking systems. Each dataset undergoes strict internal quality assurance, ensuring transparency, traceability, and compliance with international standards.
- Multi-Country Research Data
Through institutional agreements, AAU collaborates with global universities and NGOs on joint datasets involving surveys, monitoring studies, bibliometric indicators, innovation metrics, digital health evidence, and educational technology (EdTech) analytics.
- Governance & Traceability
The Sustainability & International Ranking Center maintains standardized data dictionaries, verification trails, SDG evidence registries, and documentation protocols to support reproducible analytics and auditable indicator pathways.
- Capacity Building
AAU staff and partner institutions regularly exchange methodologies for baseline setting, metadata definition, data disaggregation, and QA/QC procedures aligned with UN SDG guidelines.
B. Development Actions
A roadmap designed to elevate AAU to a regional leader in SDG data governance:
Action 1: Establish the AAU International SDG Data Lab (2025–2028)
A dedicated laboratory coordinating multi-country SDG data projects, producing at least three open datasets annually with standardized metadata.
Action 2: SDMX-Lite Harmonization Framework
Implement unified Data Management Plans (DMPs) and SDMX-compliant metadata structures aligned with UN SDG indicator standards.
Action 3: Launch the AAU Open SDG Evidence Portal
A multilingual open-data portal publishing datasets, methodological notes, codebooks, and QA/QC documentation for use by international researchers and policymakers.
Action 4: Joint SDG Measurement Pilots
Conduct cross-country measurement pilots in digital education, public health innovation, and renewable energy to produce annual international dashboards and comparative indicator reports.
Action 5: Annual “SDG Indicators Clinic”
A regional training program preparing more than 100 participants per year in indicator validation, disaggregation, and reproducible data analytics.
C. Benchmarking & Best Practice
Benchmarking Reference:
AAU benchmarks its practices against globally recognized leaders in SDG data governance, including:
- University College London (UK)
- National University of Singapore (NUS)
- University of Melbourne (Australia)
These institutions serve as role models for transparent reporting, verified evidence, and internationally comparable SDG methodologies.
Adopted Practices
AAU adopts:
- FAIR data standards
- SDMX-style metadata documentation
- Peer-reviewed indicator methods
- Standardized DMPs and evidence registries
- Verification trails and reproducible workflows
Localization
AAU adapts global best practices to the Jordanian context by emphasizing:
- Gender, disability, refugee status, and geographic disaggregation
- National policy priorities (climate adaptation, digital inclusion, health innovation)
- Alignment with Jordan’s national SDG Data Strategy (2023–2030)
Continuous Improvement
AAU participates in international SDG-data webinars, benchmarking surveys, and indicator-methodology exchanges, informing ongoing updates to the AAU SDG Data Quality Manual.
Future Benchmark Goal (2028):
Establish AAU Center for SDG Data Governance & Analytics as a regional hub for SDG data harmonization, open-data dissemination, and capacity building across Arab universities and government partners.