All pre-conference workshops required separate registration. That registration process is now CLOSED and this workshop is full.
Sharing data and code is increasingly required or expected of researchers and that more repository options exist for making such materials available. That’s the good news. The challenge is that self-archiving relies on researchers to make these materials archive-ready, an activity in which they might be uninterested and for which they may not be expert. Scientific reproducibility represents a convergence of the interests of both researchers and data archivists: reproducibility relies on access to independently understandable and usable research materials upon which such work can build. Engaging with researchers by encouraging reproducible research practices presents an opportunity for data professionals to inculcate data management practices. Working alongside researchers, data professionals can help shape the research lifecycle in ways that anticipate transparency. This is aligned with the mission of CuRe (Curating for Reproducibility), which aims to support curation and review of digital scholarly objects for the purpose of facilitating the digital preservation of the evidence base necessary for future understanding, evaluation, and reproducibility of scientific claims.
