How to conduct literature retrieval in academic databases?

Literature retrieval in academic databases is a systematic method for locating relevant scholarly publications, leveraging structured search interfaces and indexing to efficiently discover peer-reviewed resources. Effective retrieval necessitates formulating precise research questions and translating them into search strategies using keywords, synonyms, and controlled vocabularies like MeSH or Thesaurus terms. Boolean operators (AND, OR, NOT) refine results by combining terms, while database filters (e.g., date range, document type, subject area) enhance relevance. Careful selection of databases aligned with the topic scope and iterative refinement of search queries based on initial results are essential to balance comprehensiveness with precision. Implementation involves these sequential steps: 1) Identify and access relevant disciplinary databases (e.g., PubMed for life sciences, Web of Science for multidisciplinary topics), 2) Develop and enter initial search strings using keywords and Boolean logic, 3) Apply filters and review results, 4) Refine search terms and strategy based on relevant records (e.g., examining subject headings), 5) Screen promising records and export citations. This structured approach significantly enhances research efficiency and evidence synthesis.