A Content Standard for Computational Models

Hill, Linda; Crosier, Scott J.; Smith, Terence R.; Goodchild, Michael

doi:10.1045/june2001-hill

Cited by 19 publications

(7 citation statements)

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“…Well-known geoprocessing functions stem from well-known concepts (Hill et al, 2001). Normative specifications such as OGC (1999) implicitly use concepts when they define the generic behavior of an operation.…”

Section: Conceptsmentioning

confidence: 99%

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Hierarchical profiling of geoprocessing services

Müller

2015

Computers & Geosciences

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Section: Conceptsmentioning

confidence: 99%

“…Hill et al (2001) propose that symbolic (i.e. mathematical or logical) representations precede algorithmic representations of computing models which are then turned into programmatic implementations.…”

Section: Generic Profiles For Functions and Algorithmsmentioning

confidence: 99%

Hierarchical profiling of geoprocessing services

Müller

2015

Computers & Geosciences

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“…Some studies have begun to address the problem of designing a metadata framework for computational models. The Content Standard for Computational Models (Hill et al, 2001) was one of the first attempts at providing detailed metadata about a numerical model that includes the input and output data for model scenarios. Wosniok and Lehfeldt (2013) provide a concept for metadata-driven architecture for computational fluid dynamics simulations and a way to 5 integrate model descriptions into spatial data infrastructures.…”

Section: Introductionmentioning

confidence: 99%

Design of a metadata framework for environmental models with an example hydrologic application in HydroShare

Morsy

Goodall

Castronova

et al. 2017

Environmental Modelling & Software

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Environmental modelers rely on a variety of computational models to make predictions, test hypotheses, and address specific problems related to environmental science and natural resource management. Scientists and engineers must devote significant effort preparing these computational models. While significant attention has been devoted to sharing and reusing environmental data, less attention has been devoted to sharing and reusing environmental models. A first step toward increasing environmental model sharing and reuse is to define a general metadata framework for models that is flexible and, therefore, applicable across the wide variety of models used by environmental modelers. This paper proposes a general approach for representing environmental model metadata that extends the Dublin Core metadata framework. The framework is implemented within the HydroShare system and applied for a hydrologic model sharing use case. This example application demonstrates how the metadata framework implemented within HydroShare can assist in model sharing, publication, reuse, and reproducibility.

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“…It also may be necessary to store the same version of the needed software with the data (Lynch, 2008). Recommendations for the management of models and modeling data also advocate storing the software with the data (Hill, Crosier, Smith, & Goodchild, 2001;Cavalcanti, Mattoso, Campos, Llirbat, & Simon, 2002;Hunter, 2006). Such solutions can help to mitigate the risks to data that are associated with software dependencies if the software can be reused and if any other dependencies that are required by the software also are addressed.…”

Section: Introductionmentioning

confidence: 99%

A Proposal on Using Reuse Readiness Levels to Measure Software Reusability

Downs

Marshall

2010

Data Sci. J.

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The use of scientific data is becoming increasingly dependent on the software that fosters such use. As the ability to reuse software contributes to capabilities for reusing software-dependent data, instruments for measuring software reusability contribute to the reuse of software and related data. The development and current state of a proposed set of Reuse Readiness Levels (RRLs) are summarized, and potential uses of the software reusability measures are described, along with proposed use cases to support sponsorship of software projects, software production, software adoption, and data stewardship during the systems development lifecycle and the data lifecycle.

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A Content Standard for Computational Models

Cited by 19 publications

References 0 publications

Hierarchical profiling of geoprocessing services

Hierarchical profiling of geoprocessing services

Design of a metadata framework for environmental models with an example hydrologic application in HydroShare

A Proposal on Using Reuse Readiness Levels to Measure Software Reusability

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