Data Sets for Research, Learning, and Innovation
The CoU Data Sets hub is a living open-data infrastructure that supports reproducible research, applied innovation, and skills-based learning across City Open University programs. Each record is published with metadata, licensing, and citation guidance so it can be reused by students, faculty, partners, and communities.
Our strategic aim is to become a dominant research center for online-learning universities by connecting datasets to publications, grants, and learning labs—while ensuring strong ethics, privacy, and quality assurance.
What you can do here
- Discover datasets by discipline, year, type, or author using smart search and filters.
- Download dataset packages, code, and documentation for replication and learning.
- Export citations (APA / BibTeX / RIS) and track reuse signals (downloads & citations).
- Submit a new dataset through CoU’s review workflow and compliance checks.
Quick Actions
Downloads & Templates
Designed to be OpenPlus-ready: datasets can be synchronized with records, dashboards, and reporting—while maintaining a white content background elsewhere on the page.
What Lives in CoU Data Sets
CoU supports both traditional and non-traditional research data so our programs stay aligned with today’s digital market needs (analytics, AI, open education, public policy, health replication, entrepreneurship, and technology-enabled research methods).
| Category | Typical content | Program alignment |
|---|---|---|
| Learning & LMS Analytics | Engagement logs, assessment patterns, retention signals | Education, Data Science, Management |
| AI & Digital Innovation | Benchmarks, fairness metrics, evaluation sets, prompt libraries | Engineering & Computer Sciences |
| Health & Replication | De-identified indicators, codebooks, replication-friendly datasets | Health Sciences, Public Health |
| Policy & Governance | Policy indicators, compliance matrices, civic data extracts | Law & Governance, Public Administration |
| Entrepreneurship & Market Insights | Market signals, innovation ecosystems, forecasting sets | Business, Digital Innovation |
Dataset Browser (Smart Search + Filters)
Search by question, not only by keyword. This demonstration uses sample records; your real portal can populate results from OpenPlus / repository services.
Catalogue exports (partner & accreditor ready)
How CoU Uses Data Sets in Teaching & Learning
Data sets are integrated into CoU programs to make learning practical and market-aligned. Students learn to acquire, document, clean, analyze, and communicate evidence—skills essential for modern digital industries.
| Program | Dataset focus | Outcome |
|---|---|---|
| Education & Instructional Design | Learning analytics, accessibility evidence | Retention strategies, adaptive interventions |
| Computer Science & AI | Evaluation sets, fairness metrics | Responsible AI, deployment readiness |
| Business & Entrepreneurship | Market insights, forecasting sets | Data-driven strategy and innovation |
Governance, Ethics, and Quality Assurance
A strong dataset portal is not only a catalogue—it is a trust system. CoU applies ethical review, privacy safeguards, metadata standards, and quality assurance so our datasets can be used confidently by researchers, accreditors, and partners.
- Prepare: dataset files, readme, codebook, license, and optional notebooks.
- Review: DMP + ethics checklist; de-identification notes where needed.
- Submit: via Submit for steward and compliance checks.
- Publish: assign DOI + version; connect to Records and Analytics.
- Track & improve: reuse signals (downloads/citations) and publish new versions with change logs.