  Mapping is a time-consuming process for deploying robotic systems to new
environments. The handling of maps is also risk-adverse when not managed
effectively. We propose here, a standardised approach to handling such maps in
a manner which focuses on the information contained wherein such as global
location, object positions, topology, and occupancy. As part of this approach,
associated management scripts are able to assist with generation of maps both
through direct and indirect information restructuring, and with template and
procedural generation of missing data. These approaches are able to, when
combined, improve the handling of maps to enable more efficient deployments and
higher interoperability between platforms. Alongside this, a collection of
sample datasets of fully-mapped environments are included covering areas such
as agriculture, urban roadways, and indoor environments.
