 A starting point in any philosophical exploration of reproducibility and related notions is to consider the conceptual question of what such notions mean. According to some (e.g., Cartwright 1991), the terms “replication”, “reproduction” and “repetition” denote distinct concepts, while others use these terms interchangeably (e.g., Atmanspacher &amp; Maasen 2016a). Different disciplines can have different understandings of these terms too. In computational disciplines, for example, reproducibility often refers to the ability to reproduce computations alone, that is, it relates exclusively to sharing and sufficiently annotating data and code (e.g., Peng 2011, 2015). In those disciplines, replication describes the redoing of whole experiments (Barba 2017, Other Internet Resources). In psychology and other social and life sciences, however, reproducibility may refer to either the redoing of computations, or the redoing of experiments. The Reproducibility Projects, coordinated by the Center for Open Science, redo entire studies, data collection and analysis. A recent funding program announcement by DARPA (US Defense Advanced Research Programs Agency) distinguished between reproducibility and replicability, where the former refers to computational reproducibility and the latter to the redoing of experiments. Here we use all three terms—“replication”, “reproduction” and “repetition”—interchangeably, unless explicitly describing the distinctions of other authors.