Explore Evidence Hub
An Evidence Intelligence Platform

Evidence Hub

Every Dataset Tells Part of the Story.

Across the world, organisations such as the World Health Organization (WHO), UNICEF, the World Bank, national governments, and research programmes generate vast amounts of valuable public health data. Individually, these datasets provide important insights. Together, they become a powerful foundation for evidence-based research, programme planning, policy analysis, and decision-making.

Evidence Hub brings these diverse sources together to help researchers and decision-makers explore evidence from multiple perspectives, identify patterns, validate findings, and generate richer insights.

Explore Evidence Hub Explore Demonstration
Researcher comparing indicators across multiple global datasets Evidence Comparison
Analyst reviewing integrated country health data Integrated Insight
Team reviewing multiple public health data sources together
Why Data Triangulation?

Better Evidence Comes from Better Context.

No single dataset tells the complete story. Different organisations collect data for different purposes, using different methodologies, reporting periods, sampling strategies, and indicator definitions. Each contributes valuable evidence, yet meaningful insights often emerge only when these sources are viewed together.

Evidence Hub helps organisations move beyond isolated datasets by enabling structured comparison, contextual understanding, and integrated evidence exploration.

Rather than replacing existing information systems, it helps connect them.
Our Philosophy

Connecting Evidence—Not Just Data.

Evidence Hub is built on three simple beliefs.

📊

Every Dataset Has Value

Each organisation contributes an important perspective. The objective is not to determine which dataset is "correct," but to understand what each contributes to the broader evidence landscape.

🔍

Context Creates Confidence

Numbers become more meaningful when interpreted alongside complementary evidence from multiple trusted sources. Context strengthens interpretation.

🎯

Better Decisions Require Connected Evidence

The strongest decisions rarely rely on a single indicator or a single database. They emerge from the thoughtful integration of multiple sources of evidence.

The Evidence Journey

Every Additional Source Adds Another Perspective

Global Data Sources

Evidence Integration

Evidence Comparison

Evidence Intelligence

Decision Support

Better Policies & Programmes

Every perspective improves understanding.

What Can You Do?

Transform Public Data into Practical Intelligence

Data Triangulation helps researchers, analysts, and programme teams unlock new value from existing evidence.

🌐

Generate Country Health Profiles

Create comprehensive country summaries by bringing together indicators from multiple trusted international sources. Understand health status, programme performance, demographic trends, and development indicators within a single evidence environment.

📈

Compare Indicator Estimates

Explore how similar indicators differ across organisations, reporting systems, and methodologies. Understand variation rather than simply observing it.

✅

Validate Primary Data

Compare survey findings, programme data, or monitoring results against established national and international benchmarks. Identify unexpected deviations and explore possible explanations.

📅

Explore Historical Trends

Analyse changes across years, countries, and regions to better understand long-term programme performance and health outcomes.

📚

Support Research & Publications

Provide contextual evidence for manuscripts, grant proposals, systematic reviews, implementation research, and policy analyses.

📝

Strengthen Programme Planning

Support evidence-informed planning by combining operational data with global reference datasets.

Potential Data Sources

Designed to Work with Trusted National and International Evidence

Data Triangulation is designed to work with trusted national and international evidence sources, including:

World Health Organization (WHO)
UNICEF
World Bank
Demographic and Health Surveys (DHS)
Multiple Indicator Cluster Surveys (MICS)
National Health Management Information Systems (HMIS)
National Census
Population-based surveys
Public health surveillance systems
Other publicly available evidence repositories

The platform is designed to grow as new evidence sources become available.

Example Use Cases

Supporting Better Decisions Across the Evidence Lifecycle

🎓

Researchers

Access contextual evidence for publications, implementation research, and comparative analyses.

🏛️

Governments

Generate integrated country profiles to support programme planning and policy development.

🤝

Development Partners

Compare programme indicators across countries, reporting systems, and implementation periods.

📋

Monitoring & Evaluation Teams

Validate routine programme data against external evidence sources.

🏥

Public Health Programmes

Strengthen planning through richer contextual understanding.

🏫️

Students & Academic Institutions

Explore global health indicators through an integrated evidence environment that supports learning and analysis.

Analysts asking deeper questions of connected evidence
Beyond Data Integration

From Information to Evidence Intelligence

Data Triangulation is not simply about bringing datasets together. It is about helping users ask better questions.

Instead of Asking"What does this dataset contain?"

Users can ask:

  • ✓How does this compare with other evidence?
  • ✓Why do these estimates differ?
  • ✓What trends emerge across multiple sources?
  • ✓Does our primary data align with national patterns?
  • ✓What additional evidence should inform this decision?
Evidence Hub transforms isolated information into connected evidence.
Looking Ahead

The Long-Term Vision Extends Beyond Data Integration

Future capabilities may include:

Automated country health reports
AI-assisted evidence summaries
Cross-country benchmarking
Interactive evidence dashboards
Metadata exploration
Indicator harmonisation
Intelligent evidence recommendations
Integration with other Rohitah Solutions

The objective remains unchanged: helping organisations make better use of existing evidence.

An Innovation Lab for Evidence Intelligence

Part of an Innovation Lab for Evidence Intelligence

Evidence Hub is part of Rohitah Solutions—an Innovation Lab for Evidence Intelligence, developing evidence systems that strengthen data collection, data quality, evidence integration, and decision support. Together, these solutions support the complete evidence lifecycle:

Surveys

Help collect reliable data.

RDQA

Strengthens confidence in quantitative data.

QualiVoice

Strengthens qualitative evidence.

Evidence Hub

Connects evidence across systems.

Intelligence

Transforms connected evidence into actionable intelligence.

Frequently Asked Questions

Common Questions About Evidence Hub

No. It is an evidence intelligence platform designed to connect, compare, and contextualise information from multiple trusted sources.

No. It complements existing systems by helping users explore relationships between different sources of evidence.

No. While initially focused on public health and development, the underlying approach can support any domain where multiple evidence sources contribute to better decision-making.

Yes. The long-term vision includes the ability to combine organisational datasets with publicly available evidence to generate richer analytical insights.

Better Decisions Begin with Better Context.

The world's most valuable datasets already exist. The challenge is bringing them together in ways that improve understanding. Data Triangulation helps transform distributed information into connected evidence—supporting researchers, programme teams, governments, and development partners in making more informed decisions.

Explore Evidence Hub
An Innovation Lab for Evidence Intelligence

An Innovation Lab for Evidence Intelligence

Rohitah Solutions is an Innovation Lab for Evidence Intelligence, developing evidence systems that strengthen data collection, data quality, evidence integration, and decision support across research, public health, and development. Powered by responsible AI and grounded in practical implementation experience, every solution contributes to a shared mission of better evidence and better decisions.

Explore Evidence Hub