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An academic database is a searchable collection of information from published works. Databases either index or include articles, magazine or newspaper articles, books, conference papers, and images. However, many are composed of peer-reviewed articles. Peer-reviewed articles are written by experts and researchers in a particular field. Before an article can be published, it is typically reviewed by other experts (i.e., the author’s peers) for accuracy. Peer-reviewed articles often are perceived to hold the highest degree of credibility, because these articles undergo rigorous review by other experts. Whether they contain nonrefereed or refereed materials, databases provide authoritative and dependable information on a wide range of topics. In addition, databases save an enormous amount of time, since they save researchers from searching through individual publications to find relevant information. This entry examines how databases work, how they are classified, and strategies for searching them.

How Databases Work

Academic databases are the result of agreements between companies (called database aggregators) and academic publishers. Database aggregators pay for the right to include certain academic journals in their database. In turn, the database aggregators charge a subscription fee to use the database. Often, university libraries will pay to subscribe to various databases for student use. As such, access to different databases will vary depending on one’s university affiliation. Alternatively, if one does not have a university affiliation, some databases (including BioMed Central, ERIC, PubMed) and academic search engines (including Google Scholar) can be accessed on the open web.

Classification of Databases

Primarily, academic databases are classified based on two criteria: (a) the breadth of disciplines they cover (multidisciplinary or domain-specific databases) and (b) whether they provide full-text documents or citations (bibliographic or full-text database).

Multidisciplinary or Domain-Specific Databases

Depending on the range of subjects a database covers, it can be considered multidisciplinary or domain specific. Multidisciplinary databases combine journals from a wide range of subjects. In addition to peer-reviewed journals, a multidisciplinary database may include professional or trade journals within its collection. However, one is often able to limit a search to peer-reviewed journals. Commonly used multidisciplinary databases are Academic Search Complete, Academic OneFile, LexisNexis Academic, JSTOR, and Web of Science.

Domain-specific databases encompass journals from a single subject or related subjects. Within communication, the major domain-specific databases are ComAbstracts, ComIndex, and Communication and Mass Media Complete. However, depending on the research topic, one may also expand his or her database searching to other domains (e.g., psychology).

There is a third type of database, which can be either multidisciplinary or domain specific; these are publishers’ databases. Publishers’ databases contain only journals published by a specific publishing company. A widely used publisher database is Science Direct, which only includes journals from the publisher Elsevier.

Bibliographic and Full-Text Databases

Many databases are a collection of citation or bibliographic information about articles, otherwise known as a bibliographic database (or index/citation database). This type of database is composed of metadata, or data about data. It does not include the data, or in this instance, specific articles. Instead, this type of database indexes information about the article, such as title, author, and journal. Bibliographic databases help researchers find relevant articles and provide the information needed to locate the text from other sources. Commonly used domain-specific bibliographic databases are PubMed and PsycINFO. For multidisciplinary databases, Web of Science is a bibliographic database. Conversely, other databases provide the full text of an article. Popular full-text databases are JSTOR and LexisNexis Academic. Academic Search Complete is both a full-text and bibliographic database, depending on the article.

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