SLRSystematic Literature ReviewFrom Literature Discovery to Publication

Phase 2

Study Management

Move from a clean repository to defensible study selection, appraisal, extraction, and PRISMA reporting.

Screen · Assess · Extract · Track
01

Study Selection

Apply predefined eligibility criteria through title, abstract, and full-text screening.

Core decisions

  • Include, exclude, maybe, or not reviewed
  • Standardised exclusion reasons
  • Screening progress and disagreement tracking

Output: Eligible studies and documented exclusion reasons.

02

Quality Assessment

Evaluate methodological quality using a transparent checklist and agreed scoring rules.

Assessment areas

  • Research aim and design
  • Sampling, data collection, and analysis
  • Evidence, limitations, and ethics

Output: Quality score and inclusion threshold for every study.

03

Data Extraction

Capture consistent evidence from every included study using a structured extraction matrix.

Extraction fields

  • Context, country, population, and sample
  • Theory, model, constructs, method, and dataset
  • Findings, contributions, limitations, and research gaps

Output: Evidence extraction matrix ready for synthesis.

04

PRISMA Tracking

Maintain consistent counts across identification, screening, eligibility, and inclusion.

Tracked evidence

  • Records identified and duplicates removed
  • Records screened and excluded
  • Full texts assessed, excluded, and included

Output: Validated PRISMA 2020 counts and flow information.

05

Data Export

Prepare repository, screening, quality, extraction, and PRISMA data for analysis.

Export options

  • Full or filtered repository
  • Screening and quality decisions
  • Extraction matrix and PRISMA totals

Output: Analysis-ready CSV, Excel, JSON, or manuscript tables.

i
Project structure comes first.

Each future screening decision, score, and extraction record should be linked to a unique project ID to prevent data from different reviews being mixed.