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The Role of Google Scholar in Evidence Reviews and Its Applicability to Grey Literature Searching
Google Scholar (GS), a commonly used web-based academic search engine, catalogues between 2 and 100 million records of both academic and grey literature (articles not formally published by commercial academic publishers). Google Scholar collates results from across the internet and is free to use. A...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4574933/ https://www.ncbi.nlm.nih.gov/pubmed/26379270 http://dx.doi.org/10.1371/journal.pone.0138237 |
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author | Haddaway, Neal Robert Collins, Alexandra Mary Coughlin, Deborah Kirk, Stuart |
author_facet | Haddaway, Neal Robert Collins, Alexandra Mary Coughlin, Deborah Kirk, Stuart |
author_sort | Haddaway, Neal Robert |
collection | PubMed |
description | Google Scholar (GS), a commonly used web-based academic search engine, catalogues between 2 and 100 million records of both academic and grey literature (articles not formally published by commercial academic publishers). Google Scholar collates results from across the internet and is free to use. As a result it has received considerable attention as a method for searching for literature, particularly in searches for grey literature, as required by systematic reviews. The reliance on GS as a standalone resource has been greatly debated, however, and its efficacy in grey literature searching has not yet been investigated. Using systematic review case studies from environmental science, we investigated the utility of GS in systematic reviews and in searches for grey literature. Our findings show that GS results contain moderate amounts of grey literature, with the majority found on average at page 80. We also found that, when searched for specifically, the majority of literature identified using Web of Science was also found using GS. However, our findings showed moderate/poor overlap in results when similar search strings were used in Web of Science and GS (10–67%), and that GS missed some important literature in five of six case studies. Furthermore, a general GS search failed to find any grey literature from a case study that involved manual searching of organisations’ websites. If used in systematic reviews for grey literature, we recommend that searches of article titles focus on the first 200 to 300 results. We conclude that whilst Google Scholar can find much grey literature and specific, known studies, it should not be used alone for systematic review searches. Rather, it forms a powerful addition to other traditional search methods. In addition, we advocate the use of tools to transparently document and catalogue GS search results to maintain high levels of transparency and the ability to be updated, critical to systematic reviews. |
format | Online Article Text |
id | pubmed-4574933 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-45749332015-09-25 The Role of Google Scholar in Evidence Reviews and Its Applicability to Grey Literature Searching Haddaway, Neal Robert Collins, Alexandra Mary Coughlin, Deborah Kirk, Stuart PLoS One Research Article Google Scholar (GS), a commonly used web-based academic search engine, catalogues between 2 and 100 million records of both academic and grey literature (articles not formally published by commercial academic publishers). Google Scholar collates results from across the internet and is free to use. As a result it has received considerable attention as a method for searching for literature, particularly in searches for grey literature, as required by systematic reviews. The reliance on GS as a standalone resource has been greatly debated, however, and its efficacy in grey literature searching has not yet been investigated. Using systematic review case studies from environmental science, we investigated the utility of GS in systematic reviews and in searches for grey literature. Our findings show that GS results contain moderate amounts of grey literature, with the majority found on average at page 80. We also found that, when searched for specifically, the majority of literature identified using Web of Science was also found using GS. However, our findings showed moderate/poor overlap in results when similar search strings were used in Web of Science and GS (10–67%), and that GS missed some important literature in five of six case studies. Furthermore, a general GS search failed to find any grey literature from a case study that involved manual searching of organisations’ websites. If used in systematic reviews for grey literature, we recommend that searches of article titles focus on the first 200 to 300 results. We conclude that whilst Google Scholar can find much grey literature and specific, known studies, it should not be used alone for systematic review searches. Rather, it forms a powerful addition to other traditional search methods. In addition, we advocate the use of tools to transparently document and catalogue GS search results to maintain high levels of transparency and the ability to be updated, critical to systematic reviews. Public Library of Science 2015-09-17 /pmc/articles/PMC4574933/ /pubmed/26379270 http://dx.doi.org/10.1371/journal.pone.0138237 Text en © 2015 Haddaway et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Haddaway, Neal Robert Collins, Alexandra Mary Coughlin, Deborah Kirk, Stuart The Role of Google Scholar in Evidence Reviews and Its Applicability to Grey Literature Searching |
title | The Role of Google Scholar in Evidence Reviews and Its Applicability to Grey Literature Searching |
title_full | The Role of Google Scholar in Evidence Reviews and Its Applicability to Grey Literature Searching |
title_fullStr | The Role of Google Scholar in Evidence Reviews and Its Applicability to Grey Literature Searching |
title_full_unstemmed | The Role of Google Scholar in Evidence Reviews and Its Applicability to Grey Literature Searching |
title_short | The Role of Google Scholar in Evidence Reviews and Its Applicability to Grey Literature Searching |
title_sort | role of google scholar in evidence reviews and its applicability to grey literature searching |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4574933/ https://www.ncbi.nlm.nih.gov/pubmed/26379270 http://dx.doi.org/10.1371/journal.pone.0138237 |
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