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CSSS Seminar: Packaging data analytical work reproducibly using R

Posted: 11/8/2016 (Local Events)

Long considered an axiom of science, the reproducibility of scientific research has recently come under scrutiny after some highly-publicized failures to reproduce results. This has often been linked to the failure of the current model of journal publishing to provide enough details for reviewers to adequately assess the correctness of papers submitted for publication. One early proposal for ameliorating this situation is to bundle the different files that make up a research result into a ‘compendium’. At the time it was originally proposed, creating a compendium was a complex process. In this talk, Ben Marwick shows how modern software tools and services have substantially lightened the burden of making compedia. He describes current approaches to making these compendia to accompany journal articles. Several recent projects of varying sizes are briefly presented to show how he and his colleagues are using R and related tools (e.g. version control, continuous integration, containers, repositories) to make compedia for our publications. He explains how these approaches, which they believe to be widely applicable to many types of research work, subvert the constraints of the typical journal article, and improve the efficiency and reproducibility of their research.

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Date: 11/09/2016

Time: 12:30 - 1:30 PM PT

Location: University of Washington, Savery 409