Environmental timeseries lifecycle in the IoT era:lowering e-science barriers

Samenvatting (Engelstalig)

This thesis investigates the state of the environmental data lifecycle in the Internet of Things (IoT) era. We focus on two IoT stressors: a) the constraint resources ecosystem and b) the syntactic and semantic heterogeneity, and investigate their impact on environmental timeseries storage, dissemination, acquisition and integration. We argue that heterogeneity along with the low-capabilities of IoT devices, render past best-practices on environmental timeseries lifecycle not directly applicable.