Talks will present tools that can help researchers better handle and share data, and methods to combat common statistical abuses that undermine reliability and reproducibility. Key topics on the reproducible sharing of methods and code will also be covered, since both are essential for data to be made usable and transparent.
A series of talks will also be presented by influential publishers, funders and others who are developing policies that incentivize and support data management and sharing. In addition, we will look at the essential services and infrastructure needed to support modern data-driven science, from repositories to high-performance computing, and the necessary role of international cooperation in maintaining these resources.
The symposium will cover a wide range of research fields, including biomedical research, physics and social science, and will also explore how open data practices are transforming sectors outside academia, like health care and journalism.
More on the scientific program, please see here: https://www.beilstein-institut.de/en/symposia/open-science/program/