This symposium addressed the many ways that data transparency contributes to the research progress. Attendees have learned from leaders in the FAIR and open data movements who are advocating for better practices in their fields and demonstrating their commitment in their own work.

Talks presented 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 were also covered, since both are essential for data to be made usable and transparent.

A series of talks was also presented by influential publishers, funders and others who are developing policies that incentivize and support data management and sharing. In addition, we took a 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 covered a wide range of research fields, including biomedical research, physics and social science, and also explored how open data practices are transforming sectors outside academia, like health care and journalism.