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A brief history of unicorn husbandry and other magical wonders: data and the library

Date

2016-06-02

Authors

Wirz, Jackie, author
Society of Quality Assurance, publisher

Journal Title

Journal ISSN

Volume Title

Abstract

Description

Presented at the National data integrity conference: data sharing: the how, why, when and when not to share held on June 2-3, 2016 at University of Colorado, Denver, Colorado. The National Data Integrity Conference is a gathering of people sharing new challenges and solutions regarding research data and integrity. This conference aims to provide attendees with both an understanding of data integrity issues and impart practical tools and skills to deal with them. Topics addressed will include data privacy, openness, policy, education and the impacts of sharing data, how to do it, when to do it, and when not to. Speakers and audience members come from diverse fields such as: Academic Research; Information Technology; Quality Assurance; Regulatory Compliance; Private Industry; Grant Funding; Government.
Dr. Wirz earned her Ph.D. from Oregon Health & Science University in Biochemistry & Molecular Biology and has a B.S. from Oregon State University in Biochemistry & Biophysics. Her research career has spanned 15 years and has covered diverse topics such as transcriptional regulation, macromolecular structure determination, collagen biophysics and DNA repair. Her professional interests include information, data, and knowledge management, as well as the flow of scientific information. She lectures on a variety of topics including professional skills development, data management, scholarly publication ethics, research impact and semantic technologies, and research communication. Jackie is a strong proponent of science outreach and has developed programs and grants designed to promote scientific, data and information literacy. Jackie believes in evolution, salted caramel buttercream and Jane Eyre.
PowerPoint presentation given on June 2, 2016.

Rights Access

Subject

data
information
research data management
data sharing
discovery
reproducibility

Citation

Associated Publications