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Social and Behavioral Sciences Commons

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Library and Information Science

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Selected Works

2016

Data management

Articles 1 - 3 of 3

Full-Text Articles in Social and Behavioral Sciences

Pathways To Open Access : The Story Of An Institutional Repository And How We Built It., Dwayne Buttler, Rachel Howard, Sarah Frankel Jun 2016

Pathways To Open Access : The Story Of An Institutional Repository And How We Built It., Dwayne Buttler, Rachel Howard, Sarah Frankel

Sarah Frankel

The central purpose of an institutional repository (IR) is providing open access to scholarship. That scholarship originates primarily through the work of faculty and students at research institutions, leading research libraries to embrace IRs and the scholarly communication movement. IRs typically include student theses and dissertations and faculty publications but sometimes extend far beyond to institutional records and documents. Launching an IR requires significant collaborative work across disparate specialties and institutional structures to establish policies, workflows, configure metadata and technology for retrieval, and fashion outreach and ongoing support to the administrators and ultimately provide mediated support to the scholars who …


Archive - A Data Management Program, James H. Devilbiss, C. Steven Whisnant, Yasmeen Shorish Jan 2016

Archive - A Data Management Program, James H. Devilbiss, C. Steven Whisnant, Yasmeen Shorish

Yasmeen Shorish

To meet funding agency requirements, a portable data management solution is presented for small research groups. The database created is simple, searchable, robust, and can reside across multiple hard drives. Employing a standard metadata schema for all data, the database ensures a high level of standardization, findability, and organization. The software is written in Perl, runs on UNIX, and presents a web-based user interface. It uses a fast, portable log-in scheme, making it easy to export to other locations. As research continues to move towards more open data sharing and reproducibility, this database solution is agile enough to accommodate external …


Dataq: A Collaborative Platform For Answering Research Data Questions In Libraries, Yasmeen Shorish, Sarah Pickle, Christie A. Wiley, Megan Bresnahan, Andrew M. Johnson Jan 2016

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.