Information in environmental data grids

Lawrence, B. N.; Lowry, Roy; Miller, Peter I.; Snaith, Helen; Woolf, Andrew

doi:10.1098/rsta.2008.0237

Cited by 29 publications

(15 citation statements)

References 5 publications

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“…Through metadata, those charged with making data available effectively say to prospective users, 'Here is what you need to know about these data.' In other words, scientific metadata provide the information necessary for investigators separated by space, time, institutions, or disciplinary norms to establish common ground (Hey and Trefethen, 2005;Jones et al, 2001;Lawrence et al, 2009;Michener, 2006;Signell et al, 2008).…”

Section: Metadata Frictionmentioning

confidence: 99%

Science friction: Data, metadata, and collaboration

Mayernik²,

et al. 2011

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When scientists from two or more disciplines work together on related problems, they often face what we call 'science friction'. As science becomes more data-driven, collaborative, and interdisciplinary, demand increases for interoperability among data, tools, and services. Metadata -usually viewed simply as 'data about data', describing objects such as books, journal articles, or datasets -serve key roles in interoperability. Yet we find that metadata may be a source of friction between scientific collaborators, impeding data sharing. We propose an alternative view of metadata, focusing on its role in an ephemeral process of scientific communication, rather than as an enduring outcome or product. We report examples of highly useful, yet ad hoc, incomplete, loosely structured, and mutable, descriptions of data found in our ethnographic studies of several large projects in the environmental sciences. Based on this (5) evidence, we argue that while metadata products can be powerful resources, usually they must be supplemented with metadata processes. Metadata-as-process suggests the very large role of the ad hoc, the incomplete, and the unfinished in everyday scientific work.

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Section: Metadata Frictionmentioning

confidence: 99%

Science friction: Data, metadata, and collaboration

Mayernik²,

et al. 2011

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“…The GODIVA2 system highlights the importance of adopting community standards for describing, sharing and visualizing the environmental data (Lowe et al 2006;Lawrence et al 2009). The use of the WMS standard allows interoperability between GODIVA2 and many other data visualization systems, providing the important ability to overlay and compare data from different sources.…”

Section: Discussionmentioning

confidence: 99%

GODIVA2: interactive visualization of environmental data on the Web

Blower

Haines

Santokhee

et al. 2008

Phil. Trans. R. Soc. A.

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GODIVA2 is a dynamic website that provides visual access to several terabytes of physically distributed, four-dimensional environmental data. It allows users to explore large datasets interactively without the need to install new software or download and understand complex data. Through the use of open international standards, GODIVA2 maintains a high level of interoperability with third-party systems, allowing diverse datasets to be mutually compared. Scientists can use the system to search for features in large datasets and to diagnose the output from numerical simulations and data processing algorithms. Data providers around Europe have adopted GODIVA2 as an INSPIRE-compliant dynamic quick-view system for providing visual access to their data.

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“…Documentation and metadata are also terms which can be misunderstood, so an important decision was to define precisely in what part of the metadata spectrum the CIM was intended to lie. Using the taxonomy of metadata introduced in Lawrence et al (2009), which describes -A -archive metadata (intended to primarily describe the data syntax),…”

Section: Information Context and Design Methodologymentioning

confidence: 99%

Describing Earth system simulations with the Metafor CIM

et al. 2012

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Abstract. The Metafor project has developed a common information model (CIM) using the ISO19100 series formalism to describe numerical experiments carried out by the Earth system modelling community, the models they use, and the simulations that result. Here we describe the mechanism by which the CIM was developed, and its key properties. We introduce the conceptual and application versions and the controlled vocabularies developed in the context of supporting the fifth Coupled Model Intercomparison Project (CMIP5). We describe how the CIM has been used in experiments to describe model coupling properties and describe the near term expected evolution of the CIM.

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Information in environmental data grids

Cited by 29 publications

References 5 publications

Science friction: Data, metadata, and collaboration

Science friction: Data, metadata, and collaboration

GODIVA2: interactive visualization of environmental data on the Web

Describing Earth system simulations with the Metafor CIM

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