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Show me the data: a strategy for supporting sound science using research QA best practices

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dc.contributor.authorDavies, Rebecca, author
dc.contributor.authorSociety of Quality Assurance, publisher
dc.date.accessioned2016-06-09T16:39:44Z
dc.date.available2016-06-09T16:39:44Z
dc.date.issued2016-06-02
dc.descriptionPresented 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.
dc.descriptionQuality Central: sharpening the focus on sound science and quality practices
dc.descriptionRebecca L Davies, PhD is the Director of Quality Central at the University Of Minnesota College Of Veterinary Medicine.Quality Central is an internal service organization that provides tools and support for integrating quality assurance (QA) best practices into collegiate research, service and training programs. Dr. Davies is actively encouraging scientists to use QA best practices to demonstrate the quality of the research data they generate, and to facilitate the reconstruction and reproducibility of their research results. Dr. Davies is leading the Data Reproducibility Initiative which is a national team tasked with creating tools and templates designed to make the integration of research QA into academic research programs easier. She is also developing research QA training curriculum for graduate students and post docs at the University of Minnesota.
dc.descriptionPowerPoint presentation given on June 2, 2016.
dc.descriptionIncludes bibliographical references.
dc.format.mediumborn digital
dc.format.mediumPresentation slides
dc.identifier.urihttp://hdl.handle.net/10217/172982
dc.identifier.urihttp://dx.doi.org/10.25675/10217/172982
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2nd Annual National Data Integrity Conference (2016)
dc.relation.ispartofNational data integrity conference, 2016
dc.rights.licenseThis presentation is open access and distributed under the terms and conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0).
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectquality assurance
dc.subjectQA
dc.subjectbasic research data
dc.subjectstrategy
dc.subjectcollaborative approach
dc.subjectquality management systems
dc.subjectaccuracy
dc.subjectreproducibility
dc.titleShow me the data: a strategy for supporting sound science using research QA best practices
dc.title.alternativeShow me the data: a strategy for supporting sound science using research quality assurance best practices
dc.typeText

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2nd Annual National Data Integrity Conference, 2016