Social and Behavioral Sciences Commons^™

What Do Students Learn From Participation In An Undergraduate Research Journal? Results Of An Assessment, Sharon A. Weiner

Libraries Faculty and Staff Presentations

Like an increasing number of academic libraries, Purdue University Libraries provides publishing support services to the Purdue community. In 2009, Purdue University Press had recently been moved into the Libraries, and there was enthusiasm about exploring new relationships which could combine the publishing skills of the Press with use of Purdue e-Pubs, the institutional repository platform that also featured powerful publishing features. Publishing an undergraduate research journal was particularly appealing because it connected the scholarly communication program of the Libraries with strategic goals around information literacy. There is evidence that undergraduate students benefit from engaging in research experiences, and writing …

Bring Your Own Device In The Information Literacy Classroom, Ilana Stonebraker, M Brooke Robertshaw, Hal Kirkwood, Mary Dugan

Libraries Faculty and Staff Scholarship and Research

In the 2013 school year, a team of librarians in the Parrish Library of Management and Economics at Purdue University taught a business information literacy course to approximately 500 management students in eight 70-person sessions. Due to limitations on a set of iPads borrowed from another department, one of two concurrent classes was taught with a set of iPads, while another had a Bring Your Own Device (BYOD) policy, where students brought their own laptops or iPads. Focus groups, observations of behavior, and final evaluations were utilized to evaluate the comparative perceived effectiveness of the two technology approaches. This paper …

How Do Researchers Define Their Data Lifecycle And What Can We Learn From Their Definitions?, Jake R. Carlson

Libraries Faculty and Staff Presentations

This poster presents a comparison of the data lifecycles of 32 researchers as articulated by researchers themselves. Similarities and differences between the stages within these data lifecycles are noted and implications for data service providers are discussed.

A critical element of providing data services is developing a thorough understanding of the nature of the data being produced by researchers. Data lifecycle models are being developed by organizations providing data services as a means to communicate with researchers and other stakeholders who would make use of these services. The test of an effective data lifecycle model is its ability to resonate …