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Developing An Understanding Of Data Management Education: A Report From The Data Information Literacy Project, Jake Carlson, Lisa Johnston, Brian Westra, Mason Nichols
Developing An Understanding Of Data Management Education: A Report From The Data Information Literacy Project, Jake Carlson, Lisa Johnston, Brian Westra, Mason Nichols
Libraries Faculty and Staff Presentations
This paper describes the initial results from the Data Information Literacy (DIL) project designed to identify the educational needs of graduate students across a variety of science disciplines and respond with effective educational interventions to meet those needs. The DIL project consists of five teams in disparate disciplines from four academic institutions in the United States. The project teams include a data librarian, a subject-specialist librarian, and a faculty member representing a disciplinary group of students. Interviews of the students and faculty members present a detailed snapshot of graduate student needs in data management education. Following our study, educational programs …
A Multi-Institutional Project To Develop Discipline-Specific Data Literacy Instruction For Graduate Students, Sarah Wright, Michael Fosmire, Jon Jeffryes, Marianne Stowell Bracke, Brian Westra
A Multi-Institutional Project To Develop Discipline-Specific Data Literacy Instruction For Graduate Students, Sarah Wright, Michael Fosmire, Jon Jeffryes, Marianne Stowell Bracke, Brian Westra
Libraries Faculty and Staff Presentations
What data stewardship skills are needed by future scientists to fulfill their professional responsibilities and take advantage of opportunities in e-science? How can academic librarians contribute their expertise in information organization, dissemination and preservation to better serve modern science? With support from the Institute of Museum and Library Services (IMLS), four research libraries have formed a partnership to address these questions. The aims of the partnership are to identify the data stewardship skills, including data management and curation, needed by graduate students at the research discipline level, to identify trends that extend across the Science, Technology, Engineering, and Mathematics (STEM) …