Let's say that I have chosen the Millennium Project's Global Health Challenge 6 as my research challenge of interest, and my career path is headed toward the healthcare sector. As Global Challenge 6 focuses on matters of cyber security, internet access, cloud computing, big data, and telecommunication, I would like to research the implications of telehealth services.
If, however, I simply search for the term telehealth in a database, I will get more sources than I could possibly read in a semester.
So, it's important to think about what sorts of words I could add to this search to narrow my results down.
For starters, is there a specific population I want to reach? Are there any specific words or concepts that stick out on the Global Health Challenge page that resonate with my interests or focus? If so, I can add those to my search.
I've decided to focus my research on the impact of telehealth on low-income, rural communities. That being said, it's important to remember that database searches function differently than Google searches. So, if I were to enter my full research focus, as indicated in bold, I would get the following results:
Thus, your best course of action, when searching in databases, is to isolate the essential elements of your research focus. In my case, I would isolate:
Typically, the most successful keywords are going to be nouns or adjectives.
If we plug our keywords into the search box of a database, the database will look for those exact words in the description or full text of a resource. But, the database isn't necessarily going to know that synonyms or related terms to the ones we search might also be relevant. For example, take a look at the image below.
Image licensed under CC0 Public Domain by Jean Beaufort
You and the author of a text might refer to different concepts by different words, so it's always a good idea to add some of those words to your search. Here are some example synonyms and related terms for the keywords outlined above:
Boolean Operators (AND, OR, NOT) are not words in the traditional sense. They are, instead, how database search engines create relationships between your keywords.
Here's how this would look in a database: