This so-called "long tail" data, both past and present, has the potential to inform future research in many study areas.
Its approach is to use every possible source of automated help (i.e., software) in existence in a robust and provenance-preserving manner to create a service that can deal with as much of this data as possible.
Similar to an internet gateway or Domain Name Service, the DAP configuration would be entered into a user's machine and browser settings.
Data requests over HTTP would first be examined by DAP to determine if the native file format is readable on the client device.
Developers and researchers from these communities will work together on use cases that span geoscience, engineering, biology and social science.
This use case is led by Michael Dietze, Boston University Data on the abundance, species composition, and size structure of vegetation is critically important for a wide array of sub-disciplines in ecology, conservation, natural resource management, and global change biology.
To address the scientific and social problems associated with the design of green spaces, data accessibility and availability is a major challenge.
[1]This use case is led by Praveen Kumar, University of Illinois at Urbana-Champaign Critical Zone (CZ) is the "skin" of the earth that extends from the treetops to the bedrock that is created by life processes working at scales from microbes to biomes.
It encompasses the soil, which acts as a geomembrane through which water and solutes, energy, gases, solids, and organisms interact with the atmosphere, biosphere, hydrosphere, and lithosphere.
A variety of drivers affect this bio-dynamic zone, ranging from climate and deforestation to agriculture, grazing and human development.
The CZ provides a unifying framework for integrating terrestrial surface and near-surface environments, and reflects an intricate web of biological and chemical processes and human impacts occurring at vastly different temporal and spatial scales.