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Evidence Mapping

Visual research gap identification and prioritization

Evidence Mapping

Create visual representations of research landscapes to identify gaps, prioritize research, and inform strategic decisions.

What is Evidence Mapping?

Evidence mapping:

  • Systematically identifies existing research
  • Creates visual evidence representations
  • Highlights gaps and opportunities
  • Informs research prioritization
  • Supports funding decisions

When to Use

Ideal For

  • Research funders: Identifying investment priorities
  • Research institutions: Strategic planning
  • Policy makers: Understanding evidence base
  • Industry: R&D prioritization
  • Academics: Identifying research opportunities

Mapping Approaches

Bubble Maps

Visual displays where:

  • Position shows categories
  • Size indicates evidence volume
  • Color reflects quality/certainty
  • Gaps appear as empty spaces

Heat Maps

Matrix visualizations:

  • Rows: Populations or interventions
  • Columns: Outcomes or comparisons
  • Color intensity: Evidence amount
  • White cells: Research gaps

Geographic Maps

When location matters:

  • Study locations displayed
  • Regional gaps identified
  • Global distribution shown

Temporal Maps

Evidence over time:

  • Publication trends
  • Topic evolution
  • Methodology changes

EvidAI Mapping Features

Interactive Visualizations

  • Click to explore
  • Filter dynamically
  • Zoom and pan
  • Export views

Automated Gap Analysis

AI identifies:

  • Under-researched areas
  • Population gaps
  • Outcome gaps
  • Methodology needs

Priority Scoring

Gaps ranked by:

  • Clinical importance
  • Research feasibility
  • Existing interest
  • Potential impact

Evidence Mapping Workflow

Phase 1: Framework Development

  • Define dimensions (PICO elements)
  • Create categorization scheme
  • Establish boundaries
  • Plan visualization approach

Phase 2: Evidence Identification

  • Comprehensive search
  • Broad inclusion
  • All study types considered

Phase 3: Categorization

  • Code studies to framework
  • AI-assisted classification
  • Multiple category assignment
  • Theme identification

Phase 4: Visualization

  • Generate visual displays
  • Configure interactivity
  • Identify patterns
  • Highlight gaps

Phase 5: Analysis & Reporting

  • Gap analysis summary
  • Priority recommendations
  • Future research suggestions
  • Stakeholder presentation

Deliverables

Evidence mapping produces:

  • ✅ Framework documentation
  • ✅ Search strategy
  • ✅ Interactive evidence map
  • ✅ Gap analysis report
  • ✅ Priority recommendations
  • ✅ Exportable visualizations
  • ✅ Stakeholder presentation

Integration with Other Reviews

As Preliminary Step

Evidence mapping can precede:

  • Systematic reviews (scope assessment)
  • Scoping reviews (theme identification)
  • Research proposals (gap justification)

As Standalone Product

Valuable for:

  • Research prioritization
  • Funding allocation
  • Strategic planning

Best Practices

Framework Design

  • Engage stakeholders early
  • Use established categorizations
  • Allow for iteration
  • Plan for updates

Visualization

  • Choose appropriate format
  • Keep displays clear
  • Enable exploration
  • Export for sharing
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