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Geophysical methods for monitoring permanent underground storage of carbon dioxide (CO2) and other materials associated with the energy and resource sector are demonstrating the potential to generate a new wave of large volume data sets. Driven by the dense spatial and temporal sampling capabilities of distributed fiber optic sensors and decadal post injection site care requirements of regulatory governance, these petabyte scale data volumes provide a challenge to current embedded data workflows methodologies for geophysical data. They also create an opportunity to leverage emerging industry accepted optimum practices for working with time-series data on open-source cloud native data platforms. We report here on our testing and implementation of global data management techniques for site-specific geophysical data. We apply emerging technical capabilities to both legacy data sets utilized for assessment and evaluation of CO2 storage sites, and to data acquired to support long-term monitoring, measurement and verification (MMV) of storage conformance and compliance. Our ambition is to propose plans and approaches to the long-term curation of digital data, which is a critical but often overlooked subset of practical and efficient operational digital data ecosystems for onshore and offshore permanent subsurface carbon storage.