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Towards Linked Data Conventions for Delivery of Environmental Data Using netCDF

  • Jonathan Yu
  • Nicholas J. Car
  • Adam Leadbetter
  • Bruce A. Simons
  • Simon J. D. Cox
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 448)

Abstract

netCDF is a well-known and widely used format to exchange array-oriented scientific data such as grids and time-series. We describe a new convention for encoding netCDF based on Linked Data principles called netCDF-LD. netCDF-LD allows metadata elements, given as string values in current netCDF files, to be given as Linked Data objects. netCDF-LD allows precise semantics to be used for elements and expands the type options beyond lists of controlled terms. Using Uniform Resource Identifiers (URIs) for elements allows them to refer to other Linked Data resources for their type and descriptions. This enables improved data discovery through a generic mechanism for element type identification and adds element type expandability to new Linked Data resources as they become available. By following patterns already established for extending existing formats, netCDF-LD applications can take advantage of existing software for processing Linked Data and supporting more effective data discovery and integration across systems.

Keywords

netCDF linked data data discovery environmental data 

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Copyright information

© IFIP International Federation for Information Processing 2015

Authors and Affiliations

  • Jonathan Yu
    • 1
  • Nicholas J. Car
    • 1
  • Adam Leadbetter
    • 2
  • Bruce A. Simons
    • 1
  • Simon J. D. Cox
    • 1
  1. 1.Land and Water Flagship: CSIRO, Highett and Dutton Park LabsAustralia
  2. 2.British Oceanographic Data CentreLiverpoolUnited Kingdom

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