NIF is the world's largest and most energetic laser experimental system, providing a scientific center to study inertial confinement fusion (ICF) and matter at extreme energy densities and pressures. This presentation discusses the design, architecture, and implementation of the NIF Data Repository (NDR), which provides for the capture and long-term digital storage of peta-scale datasets produced by conducting experimental campaigns. The NDR is a federated database that provides for the capture of: experimental campaign plans, machine configuration & calibration data, raw experimental results and the processed results produced by scientific workflows. The NDR provides for metadata, pedigree, quality, effectivity, versioning and access control for each of the data categories. A critical capability of the NDR is its extensive data provisioning capabilities and protocols that enable scientists, local and remote alike, to review the results of analysis produced by the NDR's analysis pipeline or to download datasets for offline analysis. The NDR provides for the capture of these locally-produced analysis results to enable both peer review and follow-on automated analysis.