We live in an age of highly distributed collaboration in nearly every field of science coupled with widely disparate technological capabilities. Such heterogeneity makes the movement and management of data that supports scientific and end-user communities a global challenge, particularly when placed in the context of under-served populations without access to advanced network and storage infrastructure. This paper describes an approach known as Data Logistics as a model for exposing generic storage throughout the network, enabling broader access to data sharing capabilities supporting a wide range of devices and networking infrastructure. We present a survey of the underlying Data Logistics technologies, the software components and packaging, and some representative applications of our approach that highlight its use in different environments.