COSTAQDA
Scientific Evidence Synthesis Engine
A professional-grade platform for Qualitative Evidence Synthesis (QES), employing rigorous meta-ethnographic methodology. Upload, appraise, code, and synthesise qualitative research into validated, reproducible findings.
Prof. King Costa
Inventor & FounderLifetime AccessInventor and Founder of COSTAQDA
costak@researchglobal.net · Role: Inventor · Plan: Lifetime Inventor · Access: Unlimited
Prof. King Costa developed COSTAQDA as a rigorous, reproducible framework for qualitative evidence synthesis in academic and policy research. The platform operationalises meta-ethnographic methodology and provides a full systematic workflow — from article upload and quality appraisal to thematic coding, synthesis matrix generation, and academic narrative reporting — enabling researchers to produce defensible, auditable qualitative syntheses at scale.
Professional Synthesis Capabilities
Article Management
Upload, screen, and manage qualitative research articles with full audit trails and provenance tracking.
Quality Appraisal
CASP and JBI-aligned appraisal instruments with automated scoring and inclusion/exclusion decisions.
Multi-level Coding
Deductive category assignment, inductive code generation, and axial coding with thematic convergence.
Synthesis Matrix
Cross-study evidence matrices with 51% threshold validation and statistical support calculations.
Visual Analytics
Scientific word clouds, theme bar charts, and visual representations of evidence convergence.
Narrative Reports
Automated academic narrative synthesis with proper citation formatting and APA/Harvard referencing.