Reproducibility in Human Cognitive Neuroimaging
My doctoral dissertation defense at the University of Washington’s Biomedical and Health Informatics program: Reproducibility in Human Cognitive Neuroimaging — A Community-Driven Data Sharing Framework for Provenance Information Integration and Interoperability.
The work extended data-exchange standards to carry provenance, harmonized terminology across tools, and built interoperable data-management services. Two phases — the Scalable Neuroimaging Initiative and the Neuroimaging Data Sharing (NIDASH) task force — produced the Neuroimaging Data Model (NIDM) and web services for computational access to brain-imaging data across SPM, FSL, and AFNI.