Analyzing data consultations: What liaisons can learn about users' data needs and use of tools

dc.contributor.authorGao, Wenli
dc.contributor.authorKe, Irene
dc.contributor.authorMartin, Lisa
dc.date.accessioned2019-07-30T19:22:01Z
dc.date.available2019-07-30T19:22:01Z
dc.date.issued2017
dc.description.abstractAs data services gain momentum in academic libraries, liaison librarians are expected to be part of the education force for data literacy. Nonetheless, due to the broad scope of data literacy, training librarians to improve data-related skills can be challenging. This article used consultation statistics to identify tools and resources employed to solve users’ data questions. The results offered insights into users’ data needs and provided librarians with a clear direction to further develop data skills in their assigned disciplines. The methodology used in this study can be replicated at other institutions to identify needs and to direct professional development.en_US
dc.description.departmentLibrariesen_US
dc.identifier.orcid0000-0001-8474-7248en_US
dc.identifier.urihttps://hdl.handle.net/10657/4342
dc.language.isoen_USen_US
dc.titleAnalyzing data consultations: What liaisons can learn about users' data needs and use of toolsen_US
dc.typePresentationen_US

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