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Academy · Concepts & Definitions · Building a reproducible search
Building a Reproducible Literature Search: From Research Question to Documented Search Strategy
A video walkthrough of this guide is in preparation. This written version sets out explicitly the decisions an information specialist makes in moving from a research question to a documented, reproducible search strategy.
A reproducible search strategy translates a structured research question (commonly framed using PICO: Population, Intervention, Comparison, Outcome) into a documented set of database-specific search terms, Boolean logic and filters, run across pre-specified databases, with every decision recorded so that another searcher could rerun it and obtain the same result set.
Learning objectives
- How the concepts of a research question are translated into a documented search strategy.
- Why search terms need both controlled vocabulary and free-text synonyms.
- What reproducibility requires beyond the execution of a search.
Common misconceptions
- “A good search strategy is one that returns a manageable number of results.” A reproducible search strategy is judged by whether it captures the relevant literature comprehensively and accurately in relation to the research question, and is documented so that it can be rerun; the convenience of the result count should not drive term selection.
- “Keywords alone are sufficient in a database like MEDLINE.” Databases such as MEDLINE use controlled vocabulary (e.g. Medical Subject Headings [MeSH]) alongside free-text keywords, and a reproducible strategy combines both, since reliance on free text alone misses records indexed only under subject headings, and vice versa.
Translating PICO elements into search concepts
The starting point is breaking the research question into its core concepts — typically Population, Intervention, Comparison, Outcome (PICO) for intervention questions, with design variants for other question types. Each concept becomes its own block of search terms, combined within a concept using OR (synonyms, related terms, controlled-vocabulary headings) and combined between concepts using AND.
Combining controlled vocabulary and free-text terms
For each concept, a reproducible strategy draws on both the relevant controlled-vocabulary terms specific to the database (such as MeSH in MEDLINE, or Emtree in Embase) and a comprehensive list of free-text synonyms, spelling variants, and related terms, combined with OR within the concept. Relying on only one of these two sources is a common, correctable gap: controlled vocabulary alone misses newly indexed or not-yet-indexed literature, while free text alone misses records that are indexed consistently but phrased differently by different authors.
Documentation requirements for reproducibility
Full reproducibility, consistent with PRISMA 2020's search-reporting expectations, requires recording: every database searched and the platform/interface used; the exact search string run in each database (strategies often require database-specific syntax adjustments rather than a single string applied unchanged to every database); the date on which the search was run; any limits or filters applied (date range, language, publication type); and the total number of results per database before deduplication.
Video walkthrough
A narrated video walkthrough of this process — building a strategy live, concept by concept, with the reasoning behind each decision — is in production and will be added above once complete.
Key points
Key points
A reproducible search strategy documents every concept's controlled-vocabulary and free-text terms, the exact per-database search string, the run date, and all applied filters — detailed enough that another searcher could rerun it and reach the same result set.
Practical application
Practical application
- Build the strategy concept by concept, combining terms with OR within concepts and AND between them. Each concept’s term list should be kept separate and documented before the concepts are combined.
- Include both controlled vocabulary and free text for every concept. Authors should consult the controlled-vocabulary thesaurus of each database (MeSH, Emtree or equivalent) rather than rely on keywords alone.
- Record the exact search string, date, and filters for every database searched. This record forms part of the review’s methods documentation, in addition to the final result count.
Frequently asked questions
No — syntax (truncation, proximity operators, field tags) differs by database and platform, so the strategy typically needs translation for each one while preserving the same concepts and logic.
Many systematic review guidelines recommend an updated search close to submission to capture literature published since the original search date.
An information specialist or medical librarian experienced in systematic review searching is standard practice, often working alongside the review team.
References
- Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement. BMJ. 2021;372:n71. read 10 October 2026. View on BMJ
Every source above is a peer-reviewed article, a publisher’s record of one, or a standard issued by the body that owns it. Each carries the date it was last read. Where a standard moves, this article is revised rather than left up with a note.
How to cite this article
Pick your referencing style and copy it. Your university or target journal may vary the punctuation — check its guide if it has one.
Pubrica Academy. (2026, October 10). Building a Reproducible Literature Search: From Research Question to Documented Search Strategy. Pubrica. https://pubrica.com/academy/video-guides/building-a-reproducible-search/
Pubrica Academy. “Building a Reproducible Literature Search: From Research Question to Documented Search Strategy.” Pubrica, 10 Oct. 2026, pubrica.com/academy/video-guides/building-a-reproducible-search/.
Pubrica Academy (2026) Building a Reproducible Literature Search: From Research Question to Documented Search Strategy. Pubrica. Available at: https://pubrica.com/academy/video-guides/building-a-reproducible-search/ (Accessed: 15 October 2026).
Pubrica Academy. “Building a Reproducible Literature Search: From Research Question to Documented Search Strategy.” Pubrica. October 10, 2026. https://pubrica.com/academy/video-guides/building-a-reproducible-search/
Pubrica Academy, ‘Building a Reproducible Literature Search: From Research Question to Documented Search Strategy’ (Pubrica, 10 October 2026) <https://pubrica.com/academy/video-guides/building-a-reproducible-search/> accessed 15 October 2026.
Pubrica Academy. Building a Reproducible Literature Search: From Research Question to Documented Search Strategy. [Internet]. Pubrica; 2026 Oct 10 [cited 2026 Oct 15]. Available from: https://pubrica.com/academy/video-guides/building-a-reproducible-search/
Pubrica Academy, “Building a Reproducible Literature Search: From Research Question to Documented Search Strategy,” Pubrica, Oct. 10, 2026. [Online]. Available: https://pubrica.com/academy/video-guides/building-a-reproducible-search/
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title = {Building a Reproducible Literature Search: From Research Question to Documented Search Strategy},
howpublished = {Pubrica},
year = {2026},
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note = {Accessed: <span data-cite-acc="iso">2026-10-15</span>}
}This article is written to be learned from. Cite it if you are referring to what it says; if you are using the evidence behind it, cite the sources listed above instead.
Search strategy documentation template
Record per database searched.
Database and platform: ___ Concepts and terms (controlled vocabulary + free text) per concept: ___ Full search string as run: ___ Date search run: ___ Filters/limits applied: ___ Total results before deduplication: ___
Pubrica AcademyWritten and maintained by Pubrica’s subject matter experts. Articles are revised when the underlying standards change, and each article states the date on which it was last reviewed.
How Pubrica can help
Pubrica’s information specialists build and document reproducible, database-specific search strategies, from a structured research question to a fully reportable methods section.