Geoscience Data Provenance: An Overview
Identifieur interne : 000446 ( Main/Exploration ); précédent : 000445; suivant : 000447Geoscience Data Provenance: An Overview
Auteurs : LIPING DI [États-Unis] ; PENG YUE [République populaire de Chine] ; Hampapuram K. Ramapriyan [États-Unis] ; Roger L. King [États-Unis]Source :
- IEEE transactions on geoscience and remote sensing [ 0196-2892 ] ; 2013.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Technologie.
English descriptors
- KwdEn :
Abstract
The advancement of Earth observing sensors, data, and information systems enhances significantly the capabilities to access and process large volumes of geoscience data, which are often consumed by scientific workflows and processed in a distributed information environment. Consequently, data provenance becomes important since it allows users to determine the usability and reliability of data products. Motivation for capturing and sharing provenance also comes from the distributed data and information infrastructure that has been benefiting the Earth science community in the past decade, such as spatial data and information infrastructure, e-Science, and cyberinfrastructure. This paper provides an overview of geoscience data provenance in supporting provenance-aware geoscience data and information systems by summarizing state-of-the-art technologies and methodologies of geoscience data provenance and highlighting key considerations and possible solutions for geoscience data provenance.
Affiliations:
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Ramapriyan</name><affiliation wicri:level="2"><inist:fA14 i1="03"><s1>Goddard Space Flight Center, National Aeronautics and Space Administration</s1><s2>Greenbelt, MD 20771</s2><s3>USA</s3><sZ>3 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">Maryland</region></placeName></affiliation></author><author><name sortKey="King, Roger L" sort="King, Roger L" uniqKey="King R" first="Roger L." last="King">Roger L. King</name><affiliation wicri:level="2"><inist:fA14 i1="04"><s1>Center for Advanced Vehicular Systems, Mississippi State University</s1><s2>Starkville, MS 39762</s2><s3>USA</s3><sZ>4 aut.</sZ></inist:fA14><country>États-Unis</country><placeName><region type="state">État du Mississippi</region></placeName></affiliation></author></analytic><series><title level="j" type="main">IEEE transactions on geoscience and remote sensing</title><title level="j" type="abbreviated">IEEE trans. geosci. remote sens.</title><idno type="ISSN">0196-2892</idno><imprint><date when="2013">2013</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">IEEE transactions on geoscience and remote sensing</title><title level="j" type="abbreviated">IEEE trans. geosci. remote sens.</title><idno type="ISSN">0196-2892</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Earth</term><term>information systems</term><term>infrastructures</term><term>preservation</term><term>provenance</term><term>reliability</term><term>solution</term><term>technology</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Origine</term><term>Planète Terre</term><term>Système information</term><term>Fiabilité</term><term>Infrastructure</term><term>Technologie</term><term>Solution</term><term>Préservation</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Technologie</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The advancement of Earth observing sensors, data, and information systems enhances significantly the capabilities to access and process large volumes of geoscience data, which are often consumed by scientific workflows and processed in a distributed information environment. Consequently, data provenance becomes important since it allows users to determine the usability and reliability of data products. Motivation for capturing and sharing provenance also comes from the distributed data and information infrastructure that has been benefiting the Earth science community in the past decade, such as spatial data and information infrastructure, e-Science, and cyberinfrastructure. 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