Science has acknowledged in many disciplines it needs to be more "open" and "reproducible". But what it actually means and how to get there is yet mostly uncharted territory. This talk will introduce you to the HELIO model of Open Science, outline how documentation is key to both goals and why research software engineering is now more important than ever before.
The path to reproducible science is paved with many open source software tools - this workshop introduces one of them. Using hands-on examples centered around the tool DataLad (http://datalad.org ), we will discover core concepts for reproducibility, such as version control, digital provenance, containerization, or data publication. The workshop focuses on technical and conceptual aspects...
In this interactive workshop, we will delve into the intricacies of enhancing research reproducibility. Drawing upon our collective expertise as statistical consultants, we will combine theoretical discourse with practical experiences, fostering a comprehensive understanding of technical, statistical, and computational facets of reproducibility. Engaging discussions will provide a platform for...
In this hands-on workshop, participants will learn to use research resource identifiers (RRIDs) to specify exactly what materials were used, and learn to identify and fix common data visualization problems. RRIDs are unique persistent identifiers for cell lines, plasmids, antibodies, model organisms (e.g. mice, flies), software and tools, and core labs. We’ll also address common data...
