How can I find literature related to my research in the database?

Identifying relevant literature in academic databases requires implementing systematic search strategies. This process is feasible using Boolean operators, controlled vocabularies, and precise field filtering. Effective searches hinge on several core principles. First, define precise research keywords and identify synonymous terms or subject headings (like MeSH in PubMed). Second, utilize Boolean operators (AND, OR, NOT) to logically combine terms, expanding or narrowing results appropriately. Third, leverage database filters such as publication date, document type, and subject area to enhance relevance. Finally, consult database thesauri and tutorials for optimal use of platform-specific features. Ensure searches are replicable and documented. The process involves sequential steps. Start by brainstorming core concepts and keywords for your topic. Translate these into the database’s query language, using Boolean logic and relevant controlled vocabulary. Execute the search, then meticulously review results to identify gaps. Refine iteratively by adding terms, altering operators, or adjusting filters. Track cited references in key papers and utilize citation indexes for forward searching. This method efficiently retrieves pertinent sources, grounding research in existing knowledge and identifying critical gaps.