Library Database is an organized collection of electronic information that allows you as user to search for a particular topic, article, or book in a variety of ways (e.g., keyword, subject, author, title).
Some databases cover the full-text of articles from journals, magazines, newspapers and books which means you can read, save and print. Other articles will have only abstracts (summary).
Types of e-databases that are available at Khalifa University of Science and Technology Library will be introduced and explained, and how you can use them to find journal articles; conference proceedings; book chapters; e-books; e-journals, etc.
This is important because searching library databases is a bit different from searching Google.
The techniques described in this section will enable you to quickly retrieve relevant information from the thousands of records in a database.
When you search a database and do not get the results you expect, Ask Us for advice. Library staff are happy to help you find what you need.
Should I search through Google or Library databases?
There are a few questions you should ask yourself before starting a search. What kind of information on Google can be obtained and how different are the results found from library databases; what are the author's qualifications; how current is the information and accurate. The answer to these questions is, the results found on Library Databases are peer-reviewed and reliable.
Types of Databases:
Bibliographic (citation) databases, reference to publications (e.g. Scopus, Web of Science, etc). A bibliographic database is designed as a tool to find scholarly literature.
Databases to Full-text publications (e.g. Science Direct, Wiley, IEEE, Springer, etc) Journal articles, conference papers, e-books, book chapters, etc can be available via more than one full-text database. Full-text databases provide the option of searching in the full text of the articles. KU Libraries hold licenses for many full-text electronic collections offered by academic publishers.
An important step is to choose the best and the right database(s) for your research topic.