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dc.contributor.authorRitchie, Stephanie
dc.contributor.authorBanyas, Kelly
dc.contributor.authorSevin, Carol
dc.date.accessioned2019-03-13T19:43:14Z
dc.date.available2019-03-13T19:43:14Z
dc.date.issued2019-03
dc.identifierhttps://doi.org/10.13016/kugy-kylb
dc.identifier.urihttp://hdl.handle.net/1903/21790
dc.descriptionPresentation to the Empirical Librarians 2019 Conference held on Thursday, March 7-8, 2019, at the James Branch Cabell Library at Virginia Commonwealth University in Richmond, Virginia.en_US
dc.description.abstractMany methods to analyze database content and performance have been used and share one common challenge – How to manage the large volume of data needed to accurately assess databases. As part of an ongoing project to compare databases that provide agricultural research literature, our research team collected data to analyze the retrieved content of eight research literature databases. We worked with a new, free application designed to assist teams with systematic reviews. Rayyan QCRI allows teams of researchers to include/exclude citations collected during research literature retrieval based on pre-set criteria. Our team re-purposed Rayyan as a tool for reviewing search result citations for precision and recall analysis.en_US
dc.language.isoen_USen_US
dc.subjectdatabase comparisonen_US
dc.subjectmethodologyen_US
dc.subjectdata managementen_US
dc.subjectRayyanen_US
dc.subjectagricultural research literatureen_US
dc.titleImport [Include/Exclude] Export: Using free systematic review tool Rayyan for database comparison studyen_US
dc.typePresentationen_US
dc.relation.isAvailableAtDigital Repository at the University of Marylanden_us
dc.relation.isAvailableAtUniversity of Maryland Librariesen_us
dc.relation.isAvailableAtUniversity of Maryland (College Park, MD)en_us


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