In a database, each record consists of fields. A record of a publication reference contains information about tracing the publication and information about the topic of the publication.

Typically a record on a reference database contains the fields Title, Author, Subject, Abstract and Source. Especially the Subject terms (here MeSH terms) provide additional value while searching for a topic compared with using common search engines. The record in the picture is from the PubMed-database.

When you are looking for a topic, the most informative fields on a record are Title and Subject but also Abstract or even Full-text along with Source name.

Limiting you search term only to have occurred in a Title or a Subject –field will help to focus your search to the most relevant results.

A search term occurring in an Abstract might be relevant, but it can also be incidental. A lot depends on the context or on the term itself. Usually, it is wise to use several search concepts in order to define the specific aspect.

Example: You are interested in How dyslexia affects learning. You make a query:
dyslexia AND learning
As a result, both these records contain both terms, but the one on the left side is not related with your topic.

A search term occurring in Abstract can be very useful, but it is equally as common that a proper term as such is not in the right context.

Example of a query utilising fields: dyslexia [Keywords] AND learning[Title]

In this example the first search term "dyslexia" is searched in keywords field, the second term "learning" in article title.

Watch a video (1:52 ) of Field searching by Wahlstrom Library. The link in the picture takes to Youtube:

(8/2022 LP)