Discovering and using geophysical data in the 21st century
Alex IpAndrew D. TurnerYvette Poudjom-DjomaniRoss C. BrodiePhillip WynneK. A. DrukenNeil SymingtonCarina Kemp
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Abstract:
SummaryLarge geophysical data has traditionally been difficult to manage in a consistent, open, and efficient manner. The demands of modern, large-scale computing techniques, coupled with the need for sound data and metadata management, mean that established data formats and access methods are no longer adequate.Geoscience Australia (GA) has been working with its partners to leverage and extend existing data standards to represent various geophysical data in modern scientific container formats including netCDF & HDF. The new data encodings support rapid and efficient data subsetting, either directly from a file or remotely via web services. These will underpin GA’s future data delivery pipelines for Australian government-funded geophysical data.NetCDF efficiently handles multi-variate raster, line, and point data, as well as n-dimensional data structures supporting more demanding applications such as AEM and airborne gravity data. Structural and metadata standards deliver interoperability, and existing and emerging data types are supported without loss of precision or other information.This extended abstract will cover: The rationale for Modernising GA’s geophysical data holdings into modern open standard container formatsAn outline of the netCDF4 file format and associated tools, and some of the benefits they provideThe open-source tools and methodology used to translate grid, line, point and other data into netCDF4, and to perform metadata synchronisationA brief description of a live use case exploiting web servicesKeywords:
NetCDF
Data grid
Data Sharing
Data type
Leverage (statistics)
Data Sharing
Metadata modeling
NetCDF
Publication
Data access
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A review of the advancement in standardization of scientific data sharing is presented.On this basis the necessity of establishing the technical standard for data collection,data storage and data sharing in China is discussed.The corresponding technical standards for classified coding,data element,metadata,data exchange format,data collection quality control and data checking management are proposed.This standards form the technical standard system for data sharing in the field of water resources for China.
Data Sharing
Data Exchange
Technical standard
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