About Evidentia Review

Evidentia Review helps research teams run systematic literature reviews with clarity, consistency, and auditability, from protocol definition to final evidence report.

What you can accomplish with Evidentia Review

Use one shared workspace to plan the protocol, screen studies, classify evidence, and publish transparent outputs without losing traceability of decisions.

Workflow, from protocol to evidence report

  1. Plan the protocol
    Define objectives, PICOC, research questions, search strings, inclusion/exclusion criteria, quality checklists, and extraction forms.
  2. Conduct screening and extraction
    Import studies (BibTeX, RIS, .ref), deduplicate records, run TIAB/FTS screening, and track consensus with full reviewer history.
  3. Classify and analyze evidence
    Apply faceted taxonomy, tags, and evidence axes, then explore matrices and analytical views to understand patterns in your corpus.
  4. Report and share with confidence
    Generate reproducible outputs (including PRISMA 2020), monitor extraction audits, and share results securely with stakeholders.

Explore core capabilities

Open each section to see the practical capabilities available in the platform.

Planning and study setup
  • end-to-end protocol documentation aligned with SLR essentials
  • support for objectives, PICOC, research questions, search strategies, source selection, and eligibility criteria
  • configurable quality-assessment checklists and data-extraction forms
Screening, classification, and evidence structuring
  • imports (BibTeX, RIS, and .ref), deduplication, TIAB/FTS screening, and structured extraction workflows
  • collaborative screening with blind mode, conflict detection, consensus flow, and AI-assisted prioritization
  • faceted taxonomy management (facets, clusters, primary types, tags) with versioning and JSON/CSV import/export
  • separate evidence-axis definitions, with classification workflows for facets/tags/evidence levels and full audit trail
Analytics, reporting, and synthesis
  • advanced evidence analytics, including Facet x Axis matrices, contingency tables, vote counting, descriptive stats, and drilldown by article
  • Bibliometrics module (OpenAlex, Crossref, Unpaywall) with temporal trends, top venues, collaboration/coupling networks, OA facet, and CSV/JSON exports
  • synthesis templates with versioning, extraction audit dashboards (issues/comments/fix links), and reproducible report generation
  • PRISMA 2020 reporting (flow diagram and checklist), multilingual UI, and exportable, auditable outputs
Collaboration, sharing, and governance
  • members and roles management (owner/admin/reviewer with resolver assignment) for fine-grained collaboration governance
  • review sharing and duplication with selective copy of protocol, taxonomy, screening, extraction, labels, and notes
  • secure external reports with tokenized links, optional password, key revocation/expiration, and visibility controls
  • dedicated API Keys settings for integration credentials used by bibliometrics refresh and related services

What is a systematic literature review?

A systematic literature review is a secondary study that identifies, analyzes, and interprets evidence from primary studies addressing a focused research question. Following widely used guidance, an SLR comprises three main activities—planning, conducting, and reporting—each operationalized in Evidentia Review to reduce manual effort without compromising methodological rigor (e.g., Kitchenham & Charters).

Project authors and affiliation

All authors are affiliated with CEDIS/UnB.

References

  • Kitchenham, B., & Charters, S. (2007). Guidelines for performing systematic literature reviews in software engineering (EBSE-2007-01). Keele University and University of Durham.
  • Page, M. J., et al. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ, 372:n71.

Version: 2.5