Data-Intensive and Replicable Science
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The rapid growth in global sensor networks is leading to an explosion in the volume, velocity and variety of geospatial and geoscientific data. This coupled with the increasing integration of geospatial data into our everyday lives is also driving an increasing expectation of spatial information on-demand, and with minimal delay. However, there remains a gap between these expectations and the present reality of accessible information products and tools that help us understand the Living Planet. A solution can only be achieved through the development and implementation of common analytical frameworks that enable large scale interoperability across multiple data infrastructures. Success has been achieved using discrete global grid systems (DGGS). A DGGS is a form of Earth reference system that represents the Earth using a tessellation of discrete nested cells and is designed to ensure a repeatable representation of measurements that is better suited to today's requirements and technologies rather than for primarily navigation and manual charting purposes. A DGGS presents a common framework that is capable of linking very large multi-resolution and multi-domain datasets together to enable the next generation of analytic processes to be applied. There are many possible DGGS, each with their own advantages and disadvantages; however, there exists a common set of key characteristics that enable the standardization of DGGS to be achieved. Through the Open Geospatial Consortium (OGC) a new standard has been developed to define these essential characteristics of DGGS infrastructures and the core functional algorithms necessary to support the operation of and interoperability between DGGS. This paper describes the key elements of the new OGC DGGS Core Standard and how DGGS relate to the Living Planet. Examples from a number of conformant DGGS implementations will be used to demonstrate the immense value that can be derived from the adoption of a DGGS approach to issues of serious concern for the planet we live on. Presented at the 2016 Living Planet Symposium (LPS16) Prague, Czech Republic