Boolean operators are used to pull search terms together in a way the database can understand. Each operate communicates a different command. Below you can see how the Boolean operators AND, OR, and NOT are used.
Sometimes, when you have a complicated research question, using multiple Boolean Operators in one search string can be helpful. In these instances, connecting different parts of the search string together using parentheses will help (it will resemble a simple math equation). Let's connect the first two examples above:
Example: (diabetes AND nutrition) AND (medication OR prescription)
In this example, the system will first look for articles containing "diabetes AND nutrition." It will then look through the results for articles that contain "medication OR prescription." So, we will only get results that have to do with medication as it relates to the nutrition of diabetic patients.
If we did not use parentheses, our search string would look like this:
Incorrect Example: diabetes AND nutrition AND medication OR prescription
Do you see the difference? In the incorrect example, the system will look for articles that contain "diabetes AND nutrition AND medication," as well as ALL the entries in the database that contain "prescription," whether or not they have anything to do with the first part of the search.
There may be instances when searching which require results with a very specific term or phrase. When looking for an exact phrase or word, placing quotation marks on either side will prompt the database to search for the words in exactly the order they appear.
For example: "food desert"
By placing quotation marks on either side the database knows to look for those terms together, not separately in the article.
Most databases will have filtering options built in to the search page that can help narrow down your search results. Options for filters can range from:
Date, Language, Age, Article Type, Location, etc.
Each database will present different options, but they can really help refine your search and make it more specific. (Think filtering by size or color when online shopping). Here is an example of filters in Web of Science, a popular database available on the Lewis Library web page: