Making a research project manageable does not mean making the science simplistic. Reduce complexity that is unnecessary for answering the research question while preserving the design, evidence, comparisons, measurements, and analytical work needed to support credible conclusions.
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A literature search finds potentially relevant evidence; a literature review makes sense of that evidence. Understanding the distinction helps you avoid confusing a collection of papers with an actual review of the literature.
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A search strategy is more than a list of keywords. It is a deliberate plan connecting your research question to searchable concepts, appropriate terminology, information sources, query structure, and decisions about how the search will be tested and documented.
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Systematic, reproducible, and comprehensive describe different qualities of literature searching. A search can be reproducible without being comprehensive, systematic without achieving perfect coverage, or extensive without being sufficiently documented to reproduce.
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There is no universal number of databases, papers, or search results that makes a literature search good enough. Adequacy depends on the study, the role the literature plays in it, and whether the search can support the claims you intend to make.
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You do not need systematic-review-level documentation for every literature search, but keeping a proportionate record can make your research easier to revisit, update, explain, and defend.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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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