title: Case studies in reproducibility.
abstract: Reproducible research is a concept of providing access to data and software along with published scientific findings. By means of some case studies from different disciplines, we will illustrate reasons why readers should be given the possibility to look at the data and software independently from the authors of the original publication. We report results of a survey comprising 100 papers recently published in Bioinformatics. The main finding is that authors of this journal share a culture of making data available. However, the number of papers where source code for simulation studies or analyzes is available is still rather limited.
authors.affiliation: Ludwig-Maximilians-Universität München, Germany. torsten.hothorn@stat.uni-muenchen.de
authors.forename: Torsten
authors.initials: T
authors.lastname: Hothorn
authors.forename: Friedrich
authors.initials: F
authors.lastname: Leisch
mesh_terms: D019295:Computational Biology / Q000379:methods*; D015233:Models, Statistical; D015203:Reproducibility of Results; D012106:Research