Data sharing within the IRP is not only mandated; it also promotes transparency, reproducibility, replicability, reuse, and other far-reaching benefits to science. Although the prevalence of data sharing has improved over the past decade, there remains substantial room for improvement. To this end, the Data Science and Sharing Team has led multiple efforts to increase both the ease and frequency of data sharing within the NIMH IRP. Framed as A Roadmap to Data Sharing, this talk will survey key considerations at each stage of the research lifecycle—from project planning to publication and beyond—with data sharing as the destination. At each stage along this roadmap, I will highlight initiatives and projects our team has undertaken to support and facilitate data sharing within the IRP. I will conclude with a discussion of persistent barriers to data sharing, as well as the specific needs and opportunities relevant to the LBC.

Presentation at the NIMH IRP's Labratory of Brain and Cognition lab meeting on January 9th, 2026.