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Which VIVO Harvester Queries Best Populate the VIVO Database with Accurate Faculty Member Publications?

机译:哪个VIVO收割机查询最适合使用正确的教员出版物填充VIVO数据库?

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The National Institutes of Health encourages its research partners to use VIVOTM software to enhance research investigator collaboration. VIVO provides a dynamic online directory to facilitate professional networking opportunities for investigators who share similar or complementary research interests (VIVO, 2015). VIVO Harvester performs author searches in PubMedTM to populate VIVO profiles with article citations. Harvester only provides 65% of the total number of references (Eldredge et al., 2015), however. This study describes how the VIVO Harvester query design impacts Harvester’s ability to populate the VIVO database with the correct citations to investigator publications. This action research project analyzed elements critical to optimizing Harvester’s accuracy, thereby informing the development of similar queries for other institutions. Institution-specific knowledge coupled to expert PubMed search skills are essential to optimizing the accuracy of VIVO. This development fosters discovery and enhances translational research capable of benefitting society.
机译:美国国立卫生研究院鼓励其研究合作伙伴使用VIVOTM软件来加强研究人员的协作。 VIVO提供了动态的在线目录,以为拥有相似或互补研究兴趣的研究人员提供专业的交流机会(VIVO,2015年)。 VIVO Harvester在PubMedTM中执行作者搜索,以使用文章引文填充VIVO配置文件。然而,收割者仅提供参考文献总数的65%(Eldredge等,2015)。这项研究描述了VIVO Harvester查询设计如何影响Harvester正确引用调查员出版物来填充VIVO数据库的能力。该行动研究项目分析了对优化Harvester准确性至关重要的元素,从而为其他机构提供了类似查询的信息。特定于机构的知识以及专家的PubMed搜索技能对优化VIVO的准确性至关重要。这一发展促进了发现并增强了有益于社会的翻译研究。

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