Standards‐based data interoperability in the climate sciences

Woolf, Andrew; Cramer, Ray; Gutierrez, Marta; Dam, Kerstin Kleese van; Kondapalli, S.; Latham, Susan; Lawrence, B. N.; Lowry, Roy; O'Neill, Kevin

doi:10.1017/s1350482705001556

Cited by 11 publications

(2 citation statements)

References 4 publications

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“…For instance, the AODC JF partners found that it was difficult to deal with the time dimension in OGC Web Map services. Woolf et al (2005) also encountered this problem and reported other difficulties including the lack of appropriate support for using a range of vertical coordinate systems in the WMS specification, a specification that was essentially designed for 2-dimesional mapping.…”

Section: Observations From Australia's Marine Sdi Activitiesmentioning

confidence: 99%

A "bottom up" governance framework for developing Australia's marine Spatial Data Infrastructure (SDI)

Finney

2007

Data Sci. J.

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Spatial Data Infrastructures (SDIs) have been developing in some countries for over 10 years but still suffer from having a relatively small installed base. Most SDIs will soon converge around a service-oriented-architecture (SOA) using IT standards promulgated primarily by the Open Geospatial Consortium (OGC) and ISO Technical Committee 211. There are very few examples of these types of architected SDIs in action, and as a result little detailed information exists on suitable governance models. This paper discusses the governance issues that are posed by SOA-based SDIs, particularly those issues surrounding standards and services management, with reference to an Australian marine case study and the general literature. A generalised governance framework is then postulated using an idealised use case model which is applicable for "bottom-up," community-based initiatives. This model incorporates guiding principles and motivational and self-regulation instruments that are characteristically found in successful open source development activities. It is argued that harnessing an open development model, using a voluntary workforce, could rapidly increase the size of the SDI installed base and importantly defray infrastructure build costs.

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Section: Observations From Australia's Marine Sdi Activitiesmentioning

confidence: 99%

A "bottom up" governance framework for developing Australia's marine Spatial Data Infrastructure (SDI)

Finney

2007

Data Sci. J.

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“…An emerging series of international standards for geospatial data, metadata and services provides a timely basis for meeting the data integration requirements outlined above (Woolf et al, 2005b). The series (comprising some 40 standards) is being developed by Technical Committee 211 (Geographic Information and Geomatics) of the International Organisation for Standardisation (ISO) 1 .…”

Section: Geospatial Data Standardsmentioning

confidence: 99%

Data integration with the Climate Science Modelling Language

et al. 2006

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Abstract.The Climate Science Modelling Language (CSML) has been developed by the NERC DataGrid (NDG) project as a standards-based data model and XML markup for describing and constructing climate science datasets. It uses conceptual models from emerging standards in GIS to define a number of feature types, and adopts schemas of the Geography Markup Language (GML) where possible for encoding.A prototype deployment of CSML is being trialled across the curated archives of the British Atmospheric and Oceanographic Data Centres. These data include a wide range of data types -both observational and model -and heterogeneous file-based storage systems.CSML provides a semantic abstraction layer for data files, and is exposed through higher level data delivery services. In NDG these will include file instantiation services (for formats of choice) and the web services of the Open Geospatial Consortium (OGC).

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Basics of Climatological and Meteorological Observations for GIS Applications

Carrega¹

2010

Geographical Information and Climatology

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Standards‐based data interoperability in the climate sciences

Abstract: Emerging developments in geographic information

Cited by 11 publications

References 4 publications

A "bottom up" governance framework for developing Australia's marine Spatial Data Infrastructure (SDI)

A "bottom up" governance framework for developing Australia's marine Spatial Data Infrastructure (SDI)

Data integration with the Climate Science Modelling Language

Basics of Climatological and Meteorological Observations for GIS Applications

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