In the on-going quest to improve reproducibility in life sciences research, topic experts agree that employing best practices and efficient tools for data analysis help close the gaps in drug discovery and translational science. The best way forward is to educate researchers on crafting robust assays, capturing their scientific efforts with painstaking accuracy, and sharing the results through peer-reviewed publishing.