Abstract: A tiered data storage management system in which environmental, social, and governance (ESG) factors are used to evaluate and manage storage of physical and corresponding digital assets, particularly (but not limited to) storage of digital assets generated from corresponding physical assets, and particularly (but not limited to) situations in which the cost to store a digital representation of an asset exceeds the cost to store the original physical asset for a given amount of time.

Abstract: A tiered data storage management system in which environmental, social, and governance (ESG) factors are used to evaluate and manage storage of physical and corresponding digital assets, particularly (but not limited to) storage of digital assets generated from corresponding physical assets, and particularly (but not limited to) situations in which the cost to store a digital representation of an asset exceeds the cost to store the original physical asset for a given amount of time.

Abstract: A tiered data storage management system in which environmental, social, and governance (ESG) factors are used to evaluate and manage storage of physical and corresponding digital assets, particularly (but not limited to) storage of digital assets generated from corresponding physical assets, and particularly (but not limited to) situations in which the cost to store a digital representation of an asset exceeds the cost to store the original physical asset for a given amount of time.

Abstract: A Predictive Multidimensional Search and Selection Tool (PMST) allows users to leverage publicly available historic and predictive data in decision-making processes such as searches and queries, particularly (but not limited to) decision-making processes relating to location-and time-based decisions such as, for example, where and when to locate, relocate, or take other action for habitation, business, or other concerns. Embodiments combine predictive modeling with the ability to set rules and define human-in-the-loop (HITL) edge cases for long-term decision-making based on user-specified priorities and data sources (including external data sources such as publicly available historic and predictive data) to use as filters in predicting locations and timeframes such as for determining habitation or storage options that meet the individual user's need.