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Articles 1 - 7 of 7
Full-Text Articles in Social and Behavioral Sciences
Pilot Data Information Literacy Competencies Matrix Scaffolded Across Undergraduate, Graduate And Data Steward Levels, Megan R. Sapp Nelson
Pilot Data Information Literacy Competencies Matrix Scaffolded Across Undergraduate, Graduate And Data Steward Levels, Megan R. Sapp Nelson
Libraries Faculty and Staff Scholarship and Research
Initial work in identifying data management or data information literacy skills went as far as identifying a list of proposed competencies without further differentiation between those competencies, whether by discipline, complexity, or use case. This article describes a significant innovation upon existing competencies by identifying a scaffolding (built upon existing competencies) that moves students progressively from undergraduate training through post graduate coursework and research to post-doctoral work and into the early years of data stewardship. The scaffolding ties together existing research that has been completed in research data management skills and data information literacy with research into the outcomes that …
Dataq: A Collaborative Platform For Answering Research Data Questions In Libraries, Yasmeen Shorish, Sarah Pickle, Christie A. Wiley, Megan Bresnahan, Andrew M. Johnson
Dataq: A Collaborative Platform For Answering Research Data Questions In Libraries, Yasmeen Shorish, Sarah Pickle, Christie A. Wiley, Megan Bresnahan, Andrew M. Johnson
Yasmeen Shorish
DataQ is an IMLS-funded project led by the University of Colorado Boulder Libraries, GWLA, and GPN to develop an online knowledge-base of research data questions and answers curated for and by the library community. Publicly submitted questions to DataQ are reviewed by an Editorial Team of experts from 15 institutions across the United States. The site also includes links to resources, best practices, and practical approaches to working with researchers to address specific research data issues. This update from members of the Editorial Team will discuss outcomes and future directions following the first year of the DataQ project.
Dataq: A Collaborative Platform For Answering Research Data Questions In Libraries, Yasmeen Shorish, Sarah Pickle, Christie A. Wiley, Megan Bresnahan, Andrew M. Johnson
Dataq: A Collaborative Platform For Answering Research Data Questions In Libraries, Yasmeen Shorish, Sarah Pickle, Christie A. Wiley, Megan Bresnahan, Andrew M. Johnson
Libraries
DataQ is an IMLS-funded project led by the University of Colorado Boulder Libraries, GWLA, and GPN to develop an online knowledge-base of research data questions and answers curated for and by the library community. Publicly submitted questions to DataQ are reviewed by an Editorial Team of experts from 15 institutions across the United States. The site also includes links to resources, best practices, and practical approaches to working with researchers to address specific research data issues. This update from members of the Editorial Team will discuss outcomes and future directions following the first year of the DataQ project.
A Review Of “Delivering Research Data Management Services: Fundamentals Of Good Practice”, Darren Sweeper
A Review Of “Delivering Research Data Management Services: Fundamentals Of Good Practice”, Darren Sweeper
Sprague Library Scholarship and Creative Works
No abstract provided.
Using The Necdmc Case Studies To Teach Scientific Research Data Management, Donna Kafel
Using The Necdmc Case Studies To Teach Scientific Research Data Management, Donna Kafel
Donna Kafel
A train-the-trainer presentation about selecting and using the case studies of the New England Collaborative Data Management Curriculum (NECDMC) to teach research data management to diverse audiences.
Using Cases To Teach Research Data Management, Donna Kafel
Using Cases To Teach Research Data Management, Donna Kafel
Donna Kafel
Presentation on using the research cases in the New England Collaborative Data Management Curriculum to teach data management best practices. Demonstration of how a biomedical research engineering case could be presented to students to teach research data management concepts in a disciplinary context.
Content Analysis Regarding Faculty Perceptions Of Data Information Literacy Skill Levels, Megan R. Sapp Nelson
Content Analysis Regarding Faculty Perceptions Of Data Information Literacy Skill Levels, Megan R. Sapp Nelson
Libraries Faculty and Staff Presentations
This poster reports on the results of a content analysis project in which transcripts of interviews with professors in seven disciplines. The faculty members were interviewed about the data education needs of their students. The results indicate that generally faculty members feel that graduate students are unprepared to manage data when the enter graduate education. Many faculty are under the impression that students had previously received training on data management topics but were still lacking in skills.