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Representatives from CNI member organizations gather twice annually to explore new technologies, content, and applications; to further collaboration; to analyze technology policy issues, and to catalyze the development and deployment of new projects. Each member organization may send two representatives. Program PDF is also available.
Visit https://www.cni.org/mm/fall-2019 for more information.
Twitter: #cni19f

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Monday, December 9 • 5:15pm - 6:15pm
3.2.2 Teaching Data Curation for Reproducibility (Data CuRe)*

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The evidence-based Data Curation for Reproducibility (Data CuRe) Training Program, funded by the Institute of Museum and Library Services (IMLS), will be implemented by the Institution for Social and Policy Studies (ISPS) at Yale University, the Odum Institute at the University of North Carolina, and the Cornell Institute for Social and Economic Research (CISER) at Cornell University. Against a backdrop of growing attention to computational reproducibility in the scientific community, the team has identified a skills gap. This program, a continuing education program targeting academic librarians and data archivists, will offer opportunities for practitioners to augment current expertise with the skills and knowledge necessary to perform intensive data curation tasks, including code review, and provide support to members of the research community burdened with growing expectations for reproducible research practices. The curriculum will be delivered via Library Carpentry, and include lessons that meet quality standards as defined by the FAIR Data Principles the Data Quality Framework.

Additional authors: Thu-Mai Christian, Odum Institute, UNC and Florio Arguillas, Cornell University



Limor Peer

Associate Director for Research, Institution for Social and Policy Studies, Yale University

Monday December 9, 2019 5:15pm - 6:15pm

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