There are some logical strategies to help you find all the information available to you in a database and search as efficiently as possible.
The number of search terms used is directly related to size of a database. For example, when searching Google, which indexes billions of Web pages, it's wise to use as many relevant search terms as possible, in order to narrow down results to a manageable size.
However, when searching in a specialized database, this strategy may not produce good results. Because they are smaller and more focused than Web search engines, the best strategy is to begin with only a few general search terms. Review your results and, if necessary, limit them in some logical way.
Examples:
Since many specialized databases allow searching of specific fields in data records, use this to your advantage. If a list of standard terminology for a particular field is provided, be sure to review it and select appropriately.
As the illustration here shows, the Art Abstracts library database provides many searchable fields, but you must expand the search page to see some of them. Because this database focuses entirely on art, we can eliminate that term from our search for Buddhist art.
When a database includes a subject field, searching by subject is often more effective than keyword searching. The keyword search is hit or miss, depending on the words you choose. Subject search results are more complete and comprehensive. But it's not always easy to find the correct subject terminology.
Try this strategy to find useful subject headings. Remember it by thinking of the letters BILS:
Try this field search in the ERIC database (free version).
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