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To make sure you're really seeing everything, you need to search in multiple places. Use Database Search to identify and connect to the best databases for your topic. In addition to digital content, you will find specialized search engines used in specific scholarly domains.
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A database search is the act of sending a database query to the database, which then attempts to find all matching data in the database. In MongoDB, the queries are constructed using the MongoDB Query API (sometimes known as MongoDB Query Language).
EBSCOhost is an intuitive online research platform used by thousands of institutions and millions of users worldwide. With quality databases and search features, EBSCOhost helps researchers of all kinds find the information they need fast. Start your research.
This article contains a representative list of notable databases and search engines useful in an academic setting for finding and accessing articles in academic journals, institutional repositories, archives, or other collections of scientific and other articles.
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Overview. The key to being a savvy online searcher is to use common search techniques that you can apply to almost any database, including article databases, online catalogs and even commercial search engines.
Overview. There are common search techniques that you can apply to almost any database, including article databases, online catalogues and popular search engines like Google. The techniques described in this guide will help you find relevant results when using LIT library catalogue, Discover!, databases or other online resources. If you search ...
This guide is divided into help tabs which focus on specific (basic) methods for finding resources in databases. Key: • Basic (Keyword) Search • Author Search • Title Search • Subject Search • Boolean Operators. Use the tab headings or embedded links above to navigate to a specific topic & then explore in detail.
Most databases allow you to narrow your search by selecting specific dates of publication, languages, or publication types. Databases that mix scholarly and non-scholarly content often let you limit to scholarly sources.