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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.
Research Data And Linked Data: A New Future For Technical Services?, Sherry L. Vellucci
Research Data And Linked Data: A New Future For Technical Services?, Sherry L. Vellucci
University Library Scholarship
This book chapter examines two futures for academic librarians working in access (technical) services: deeper collaboration on data management with faculty and student researchers and expanded access to library resources on the Semantic Web. Both are concerned with data organization, discovery, access, and support of shared data beyond the library. The chapter examines many aspects of research data from the perspectives of researchers and librarians. It briefly examines events prior to the library's greater involvement with research data, looks at how librarians gained fundamental knowledge and skills to assist with the tasks involved with research data curation, and discusses why …