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Diving into Data: Developing Data Fluency for Librarians

dc.contributor.authorMartin, Scott
dc.contributor.authorOehrli, Jo Angela
dc.date.accessioned2016-04-22T19:32:02Z
dc.date.available2016-04-22T19:32:02Z
dc.date.issued2015
dc.identifier.citationIn: The new information literacy instruction: best practices (Patrick Ragains and M. Sandra Wood, eds.). Rowman & Littlefield, 2015.en_US
dc.identifier.isbn9781442257948
dc.identifier.urihttps://hdl.handle.net/2027.42/117590
dc.description.abstractAs data services continue to emerge as a growth area for academic research libraries, many librarians are finding themselves in need of a skill upgrade in order to support research data at a level of excellence consistent with other library services. With the full support of its administrators, the University of Michigan (UM) Library has implemented a three-stage professional development program to develop readiness for data services within the organization. The first stage consists of a two-part workshop series presenting basic data concepts around data structures, storage, security, and sharing. These workshops build a shared understanding and vocabulary among librarians across the institution as a foundation for more specialized training. The second stage employs a workflow developed by UM librarians, the Deep Dive into Data, which provides a self-directed, iterative, non-linear method for exploring the data landscape around a particular research discipline. Deep Dive workshops apply this workflow to an example discipline through in-class exercises and discussion, providing librarians with an expert-mediated means to build their familiarity with the tool before applying it to their own work. The ongoing third stage addresses specific topics in research data which are broadly applicable across disciplines. Some of these workshops explore cross-disciplinary data techniques which librarians may encounter or recommend to researchers, such as text mining. Others connect librarians to services provided elsewhere on campus, such as data storage, by inviting colleagues from those providers to brief library staff on the basics of the service and how to make an effective referral. Another type expands traditional public services skills, such as reference interviews, into the data services realm by providing an overview of current best practices and reports from individual librarians who have been piloting these services. Feedback gathered from participants at each stage has informed planning for subsequent offerings.en_US
dc.language.isoen_USen_US
dc.publisherRowman & Littlefielden_US
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.titleDiving into Data: Developing Data Fluency for Librariansen_US
dc.typeBook Chapteren_US
dc.subject.hlbsecondlevelInformation and Library Science
dc.subject.hlbtoplevelSocial Sciences
dc.contributor.affiliationumLibrary, University of Michiganen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/117590/1/Martin_Oehrli_Diving_Into_Data.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/117590/2/Martin_Oehrli_Table_1.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/117590/3/Martin_Oehrli_Table_2.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/117590/4/Martin_Oehrli_Appendix_A.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/117590/5/Martin_Oehrli_Appendix_B.pdf
dc.identifier.sourceThe New Information Literacy Instruction: Best Practicesen_US
dc.identifier.orcid0000-0002-9925-4603en_US
dc.identifier.orcid0000-0002-9198-4150en_US
dc.description.filedescriptionDescription of Martin_Oehrli_Diving_Into_Data.pdf : Chapter text
dc.description.filedescriptionDescription of Martin_Oehrli_Table_1.pdf : Table 1
dc.description.filedescriptionDescription of Martin_Oehrli_Table_2.pdf : Table 2
dc.description.filedescriptionDescription of Martin_Oehrli_Appendix_A.pdf : Appendix A: Deep Dive Methodology
dc.description.filedescriptionDescription of Martin_Oehrli_Appendix_B.pdf : Appendix B: Sample workshop assessment survey
dc.identifier.name-orcidMartin, Scott; 0000-0002-9925-4603en_US
dc.identifier.name-orcidOehrli, Jo Angela; 0000-0002-9198-4150en_US
dc.owningcollnameLibrary (University of Michigan Library)


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