Once you have thought about your keywords and alternative keywords, it is time to think about how to combine them to form your search strategy. Boolean operators instruct the database how your terms should interact with one another.
Boolean Operators
Be careful and use NOT strategically. It can unintentionally exclude relevant articles if the unwanted term appears alongside useful content.
Don't forget the more ORs you use the broader your search becomes, the more ANDs you use the narrower your search becomes.
Double quotation marks can be used to allow for phrase searching. This means that if you have two or more words that belong together as a phrase the database will search for that exact phrase rather than words separately. For example "Social Media"
Truncation can be used when there are multiple possible word endings. Truncation as a technique is used to expand your search and capture multiple word endings with a single root term.
Example Nurs* will find Nurse, Nurses and Nursing.
Tips:
|
Database/Platform |
Command to use |
When to Use |
|---|---|---|
|
Medline/APA PsycInfo/ CINAHL on EBSCO |
* # ? |
•One or more characters
•zero or one extra characters
•One character only
|
|
Cochrane |
* |
One or more characters |
|
Web of Science |
* $ ? |
•One or more characters
•zero or one extra characters
•One character only
|
|
Scopus |
?
|
One character only But can be used multiple times (ie. ??) |
Proximity searching allows you to find two or more keywords that appear within a certain number of words from each other in a document. This technique is especially useful when you're looking for concepts that are closely related but not necessarily expressed as exact phrases.
Example
A search like exercise NEAR/5 "mental health" will retrieve results where exercise and mental health appear within five words of each other—capturing variations like exercise improves mental health or mental health benefits of regular exercise
Different databases/platforms use distinct syntax for proximity searching and this can vary from database to database.
|
Database/Platform |
Command to use (where n is a number you specify) |
|---|---|
|
Medline/APA PsycInfo/CINAHL on EBSCO |
Nn |
|
Cochrane |
NEAR/n |
|
Web of Science |
NEAR/n |
|
Scopus |
W/n |
What are databases fields?
Records in catalogues and databases are structured into fields, such as title, author, abstract, and subject terms, that contain key bibliographic information describing each item in detail.
When searching the databases, you are not just scanning entire records, you are searching specific fields within each record. These fields are structured pieces of metadata that describe the record, and field searching allows you to target them precisely.
Field searching is one of the techniques that helps you take control of the search. It improves accuracy by targeting specific database fields like title, abstract, keywords, or subject headings. This focused approach filters out irrelevant results, enhances reproducibility, and ensures key studies are efficiently identified.
Identify key concepts: Break your research question into core concepts and determine relevant keywords.
Choose appropriate fields: Use the databases to search within specific fields like title, abstract, author, or subject headings.
Select field codes: Learn and apply field-specific syntax (e.g., for title, for abstract) based on the database you are using.
Combine with Boolean operators: Use AND, OR, NOT to refine your search logic within and across fields.
Test and refine: Run sample searches, review results, and adjust field combinations to improve relevance and precision.
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