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Claiming that no studies exist is one of the strongest conclusions you can draw from a literature search. Before making it, search broadly enough that plausible terminology, databases, citation routes, and unpublished sources are unlikely to reveal qualifying studies.
Read Guide →A reproducible search becomes necessary when literature retrieval is part of the research method or when important conclusions depend on what the search did and did not find. Reproducibility requires more than listing databases and keywords.
Read Guide →A librarian-designed search is particularly valuable when missing relevant evidence could affect a systematic review, strong absence claim, high-stakes research decision, or complex interdisciplinary search. Not every literature search requires specialist design.
Read Guide →A practical step-by-step guide to searching the research literature effectively. Learn how to turn a research question into a reproducible search strategy, choose databases, find search terms, refine results, and document what you did.
Read Guide →Thousands of results do not automatically mean your literature search is too broad. Learn how to diagnose excessive irrelevant retrieval and narrow a search without unnecessarily losing relevant studies.
Read Guide →A small result set does not necessarily mean your literature search is too narrow. Learn how to detect when restrictions, missing terminology, or excessive concept blocks are causing relevant studies to disappear.
Read Guide →For systematic reviews, eligibility criteria should normally be defined before the formal search and study-selection process. Preliminary searching can still help you understand the literature and refine defensible criteria before they are finalized.
Read Guide →There is no universal number of years you should search backward. Learn when to search from database inception, when a historical cutoff is defensible, and why older literature can still matter.
Read Guide →Restricting a literature search to English can make a review easier to conduct, but it may also exclude relevant evidence. Learn when language limits are problematic and how to handle genuine translation constraints.
Read Guide →Peer review can be useful when evaluating research, but restricting a literature search to peer-reviewed publications can exclude relevant evidence. Learn when broader searching matters and how to decide what should ultimately be included.
Read Guide →There is no universal number of databases that makes a literature search comprehensive. The right combination depends on your research question, disciplines, study types, and the unique coverage each source contributes.
Read Guide →Searching another database can uncover studies that other sources missed, but database count is not a measure of search quality. What matters is whether each additional source contributes relevant coverage.
Read Guide →A literature search is difficult to reproduce if you record only the keywords or database names. Learn what to save while searching so the strategy can later be reported, checked, updated, and rerun.
Read Guide →Decide what would make a study relevant before the search results begin influencing your judgment. The criteria can sometimes be refined later, but relevance should follow the research question rather than the attractiveness of individual papers.
Read Guide →A known relevant paper can act as a diagnostic test for your planned search. If the strategy cannot retrieve a study that should fit its scope, investigate why before assuming the search is ready.
Read Guide →A missing key paper is a warning worth investigating, not automatic proof that your search has failed. Diagnose whether the problem comes from database coverage, terminology, indexing, search logic, or an unnecessary restriction before changing the strategy.
Read Guide →Scopus, Web of Science, and Google Scholar overlap, but they are not interchangeable. Compare their coverage, search tools, citation data, access, and best uses to decide which belongs in your research workflow.
Read Guide →PubMed and MEDLINE are closely connected, but they are not the same thing. Learn what each contains, how MEDLINE fits inside PubMed, and why the distinction matters when searching biomedical literature.
Read Guide →Subject-specific and multidisciplinary databases serve different purposes in literature searching. Learn how their coverage, indexing, and search features differ and when your research may benefit from using one or both.
Read Guide →Google Scholar and Google search different information environments. Learn when Google Scholar is better for scholarly literature, when regular Google is more useful, and how researchers can use both strategically.
Read Guide →Google Scholar is an excellent scholarly discovery tool, but whether it is enough depends on the purpose and rigor of your literature review. Learn when to use it alone, when to supplement it, and why search coverage matters more than the number of databases searched.
Read Guide →Scopus and Web of Science overlap substantially, but neither simply contains everything in the other. Their source selection, historical coverage, document types, and indexing decisions differ, which can affect both literature searches and citation analyses.
Read Guide →Running the same keywords in two research databases rarely produces identical results. Differences in coverage, indexing, search fields, syntax, query processing, and ranking can all change what you retrieve.
Read Guide →Your university library's main search box can be an excellent starting point for finding books, articles, and other resources, but it does not necessarily search everything your library provides. Learn when discovery systems are useful and when individual databases are the better choice.
Read Guide →Specialized databases can reveal literature, terminology, indexing, and document types that broad multidisciplinary databases may not capture as effectively. Learn when your research question warrants searching them.
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