Deep Literature Search

Overview

A deep literature search goes beyond a quick Google Scholar query. It is a methodical, multi-source search process designed to identify all relevant publications on a topic with minimal omissions. This level of thoroughness is required for systematic reviews, meta-analyses, grant applications, and dissertation literature reviews where comprehensiveness is not optional—it is a methodological requirement.

This skill provides a structured framework for planning, executing, and documenting exhaustive literature searches across multiple academic databases. It covers query formulation using controlled vocabularies, database selection strategy, deduplication, screening workflows, and PRISMA-compliant documentation of the search process.

The framework is database-agnostic and can be applied across disciplines, from biomedical sciences (PubMed, Cochrane) to social sciences (PsycINFO, ERIC), engineering (IEEE Xplore, Compendex), and multidisciplinary databases (Web of Science, Scopus, OpenAlex).

Search Strategy Design

Step 1: Define the Research Question

Use the PICO/PEO/SPIDER framework appropriate to your field:

• PICO (clinical/biomedical): Population, Intervention, Comparison, Outcome
• PEO (qualitative): Population, Exposure, Outcome
• SPIDER (mixed methods): Sample, Phenomenon of Interest, Design, Evaluation, Research type