{"title":"A Comparison of Selected Bibliographic Database Search Retrieval for Agricultural Information","authors":"S. Ritchie, Kelly Banyas, Carol Sevin","doi":"10.29173/istl48","DOIUrl":null,"url":null,"abstract":"Search result retrieval was compared across eight research literature databases (AGRICOLA, AGRIS, BIOSIS, CAB Direct, FSTA, Google Scholar, Scopus, and Web of Science) for three topics from different agricultural disciplines to compare retrieval results based on searcher experience. Precision, recall, and uniqueness were analyzed by rating search results (~2400 citations) for relevancy. A generalized linear model statistical analysis determined that AGRICOLA ranked highest for precision and was statistically more likely to produce a relevant result than four other databases. CAB and Web of Science ranked highest for recall and both overlapped with AGRICOLA for statistical likelihood of producing a relevant result. Google Scholar retrieved the most unique content, but almost half of that content was not judged relevant. AGRICOLA, BIOSIS and CAB retrieved the most unique and relevant content. This study will help researchers and librarians working in the agricultural disciplines to select the bibliographic databases that will provide the most relevant search results and are most likely to meet their research need. It may also serve as a template for future bibliographic research in other disciplines.","PeriodicalId":39287,"journal":{"name":"Issues in Science and Technology Librarianship","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.29173/istl48","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Issues in Science and Technology Librarianship","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.29173/istl48","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 1
Abstract
Search result retrieval was compared across eight research literature databases (AGRICOLA, AGRIS, BIOSIS, CAB Direct, FSTA, Google Scholar, Scopus, and Web of Science) for three topics from different agricultural disciplines to compare retrieval results based on searcher experience. Precision, recall, and uniqueness were analyzed by rating search results (~2400 citations) for relevancy. A generalized linear model statistical analysis determined that AGRICOLA ranked highest for precision and was statistically more likely to produce a relevant result than four other databases. CAB and Web of Science ranked highest for recall and both overlapped with AGRICOLA for statistical likelihood of producing a relevant result. Google Scholar retrieved the most unique content, but almost half of that content was not judged relevant. AGRICOLA, BIOSIS and CAB retrieved the most unique and relevant content. This study will help researchers and librarians working in the agricultural disciplines to select the bibliographic databases that will provide the most relevant search results and are most likely to meet their research need. It may also serve as a template for future bibliographic research in other disciplines.
对来自不同农业学科的三个主题的八个研究文献数据库(AGRICOLA、AGRIS、BIOSIS、CAB Direct、FSTA、Google Scholar、Scopus和Web of Science)的搜索结果检索进行了比较,以根据搜索者的经验比较检索结果。通过对搜索结果(~2400次引用)的相关性进行评级来分析准确性、召回率和唯一性。广义线性模型统计分析确定,AGRICOLA的精度最高,在统计上比其他四个数据库更有可能产生相关结果。CAB和Web of Science在召回方面排名最高,在产生相关结果的统计可能性方面均与AGRICOLA重叠。谷歌学者检索到了最独特的内容,但几乎一半的内容被认为不相关。AGRICOLA、BIOSIS和CAB检索到了最独特、最相关的内容。这项研究将帮助农业学科的研究人员和图书馆员选择能够提供最相关搜索结果、最有可能满足他们研究需求的书目数据库。它也可以作为其他学科未来书目研究的模板。