ProQuest and Google are expanding their collaboration by indexing almost half a million full text dissertations from the ProQuest Dissertations & Theses Global™ database (PQDT) following the indexing of millions of scholarly articles in Google Scholar in 2015.
Google Scholar users can now seamlessly discover and access this set of full text dissertations in their libraries' subscription collections. The user experience is improved and libraries benefit from increased usage for their content investment.
Linking and access to the dissertations from Google Scholar is automatic and requires no intervention by the library. An authenticated ProQuest® dissertations user searching Google Scholar will be recognised by the ProQuest platform and connect to the full text in their library's collection. Users who are not recognised are sent to a landing page where they can purchase the dissertation or access the first 24 pages at no charge. Dissertations that have been published using the ProQuest Open Access publishing model are available to all users for free.
Excellent sources of original research on specific topics, dissertations are a crucial form of scholarly communication. They are vehicles for testing and presenting new ideas and trends and often contain data and results of lab experiments, fieldwork, surveys, and statistics that journal articles don't include. Dissertations also provide valuable context for learning about faculty, institutions, and fellow scholars. For the researcher, the deep coverage and extensive bibliographies included in dissertations uncover sources and ideas that might otherwise be missed. On the ProQuest platform, PQDT provides fast and seamless access to 2 million full-text works and 4.5 million abstracts – all cross-referenced to scholarly content across the library's online content environment.
Brought to you by Scope e-Knowledge Center, a trusted global partner for digital content transformation solutions - Abstracting & Indexing (A&I), Knowledge Modeling (Taxonomies, Thesauri and Ontologies), and Metadata Enrichment & Entity Extraction.
