Preliminary searching is an initial step undertaken when preparing to conduct a literature review.
Preliminary searching can help you to:
Additionally, preliminary searching can aid in locating literature that is key for ensuring your systematic search is comprehensive and reproducible, known as seeding articles.
Use the downloadable search planner below to help build and document your preliminary search.
Seeding articles are highly relevant or influential research publications within your topic area. These articles help you to identify the diverse vocabulary and subject headings researchers use to describe your topic. They also provide a foundation for ensuring your search strategy captures key studies and may be used to test the effectiveness of a search strategy.
There are various methods to find seeding articles on your topic. Click on the plus icons (+) below to learn about methods for finding seeding articles.
Exploring search engines, such as Google or Google Scholar, is useful way to finding seeding articles.
Search using the main concepts/themes of your topic to capture relevant publications.
Improve your results scope with limiters and search techniques, such as Boolean operators (AND/OR), phrase searching (“”) and parentheses.
Note: It's important to search using alternative keywords and different combinations of keywords to capture more relevant results.
Citation searching is a search method of using the references from seeding article to find additional seeding articles.
Using citation databases, such as Scopus and Web of Science, you can find:
Check out the video (4:58) below to learn how to perform citation searching in Scopus.
Consulting with knowledgeable individuals can help identify potential seeding articles. Colleagues or subject-matter experts may recommend material relevant to your topic, such as key studies, influential authors, or recent publications.
Communicate with knowledgeable individuals about your research topic, this can help to uncover seeding articles that might not be easily found through other methods.
Generative AI (genAI) tools are AI platforms that draw on large data sets and use machine learning to generate unique text and media outputs. such as Research Rabbit, Elicit, Perplexity and Consensus.
GenAI tools can be used in your preliminary search to explore your chosen topic and identify authoritative resources, using natural language searching. However, be mindful of responsible use and the limitations of genAI in research.
GenAI tools may be useful for exploring your topic, brainstorming search terms, or analysing seeding articles. We recommend avoiding using genAI tools for conducting the main search.
It is also important to acknowledge the use of genAI tools in a literature review. Be sure you're:
Inclusion and exclusion criteria are essential tools for defining which studies are relevant to your review, and can also guide the selection of seeding articles.
When identifying seeding articles, consider how well each article aligns with your inclusion criteria. This alignment helps maintain consistency and relevance in the review process.
For example, if your inclusion criteria specify experimental studies published within the last five years, focus on finding seeding articles that match these parameters. Similarly, exclude articles that fall outside your scope, such as observational studies or those published beyond your date range.
When you’ve identified seeding articles it can be useful to organise your findings. This allows you to have a clear view of the key details from your seeding articles, spot patterns between articles, or identify concepts and keywords. Use your preferred way to organise seeding articles or download our Summary Literature table template.
Concepts are the key ideas or themes that make up your research question. They represent what will be explored in the literature to address your research topic.
To identify search concepts, begin by breaking down your research question into its main components. By focusing on the essential elements of your question, you can develop a targeted and comprehensive search strategy that captures all relevant literature.
Each concept typically corresponds to an element of your research question, such as population, intervention, or outcome. Question framework tools, such as PICO, can help structure the elements of your question. Keep in mind that concepts do not always match perfectly with question frameworks. Some research questions may involve overlapping or additional themes that require consideration.
Check out Module 2: Frame your research for further information on research question frameworks.
To create a comprehensive search strategy for your literature review, it’s necessary to find all terminology used in literature to describe your concepts, these are known as search terms. Different studies may use different terminology to describe the same concept. If this variability isn't addressed in your search strategy, it could lead to relevant literature being missed in your review.
To ensure a comprehensive search strategy, analyse seeding articles to:
Additional search terms can be located using database tools such as thesauri, indexes and subject headings to identify controlled vocabulary terms, for example MeSH terms in Medline or CINAHL Headings in CINAHL.
For each concept, make sure you check for:
Search techniques are functions in databases and search engines to help perform search strategies effectively. Search techniques can help you capture search terms more precisely, broaden or narrow your search, and refine your search results.
Keep in mind that search techniques vary between databases. It’s important to become familiar with the specific features of the databases you’re using.
Explore search techniques below in more detail as they're applied to the research topic, use of social media among teenagers.
Databases are a key resource for finding literature relevant to your review. Databases often cover multiple topics and no single database contains all relevant literature on a topic. In your review you need to run your search in at least two or three databases.
It's important to select databases that cover the majority of relevant literature for your topic. Carefully selecting appropriate databases ensures comprehensive coverage of your research topic and minimises potential bias.
There are platforms that allow you to simultaneously search across multiple databases. However, it's recommended to search one database at a time to ensure transparency and to utilise the unique features of a database.
The following provides information on how to identify databases to search in for your review:
To identify the database to build a main search, it can be helpful to find the database where the majority of your seeding articles are indexed. You can locate the databases that hold your seeding articles through the journals they were published in.
Using Ulrich's Periodicals Directory you can search for journal titles to identify the databases that hold issues of your seeding article journals.
Download the Example Search Planner for further information on how each step in the preliminary search was applied to a research question.