Lunch with speaker, 12:30pm; Talk, 1pm.
Abstract: Increasingly, scientific publications and claims are based on ever-increasing volumes of data. Once the publication is complete, it is often difficult for others to locate the data and accompanying analyses, and once located, often challenging to make sense of them. For scientific results to continue being subject to verification and extension, we in the scientific community must ensure that good data management, with sufficient transparency and accessibility of data and analyses, become essential and ordinary elements of the research cycle. In this paper, we present 10 simple rules to help scientists towards this goal.