Toward Reproducible Computational Science: Reliability, Re-Use, and Readability | School of Information

"The dissemination of reproducible computational research — where the code and data that generated the results are made conveniently available — is now widely recognized as a transformative movement within the scientific community. It is attracting attention not only from researchers but also from librarians and repository managers, journal editorial boards, funding agencies and policy makers, and scientific software developers. This talk motivates the rationale for this shift, and presents solutions I have been developing to facilitate reliable and re-usable computational research including: new empirical findings on changes to journal data and code publication policies; best practices for code and data release; the open source dissemination and access tool ResearchCompendia.org; and the 'Reproducible Research Standard' for ensuring the distribution of legally usable data and code. Some of these results are described in the forthcoming co-edited books Implementing Reproducible Research and Privacy, Big Data, and the Public Good ..."