CyberinfraV1, PascalFrancis, Corpus, bibRecord, 000009

Geoscience Data Provenance: An Overview

Identifieur interne : 000009 ( PascalFrancis/Corpus ); précédent : 000008; suivant : 000010

Geoscience Data Provenance: An Overview

Auteurs : LIPING DI ; PENG YUE ; Hampapuram K. Ramapriyan ; Roger L. King

Source :

IEEE transactions on geoscience and remote sensing [ 0196-2892 ] ; 2013.

RBID : Pascal:13-0361983

Descripteurs français

Pascal (Inist)
- Origine, Planète Terre, Système information, Fiabilité, Infrastructure, Technologie, Solution, Préservation.

English descriptors

KwdEn :
- Earth, information systems, infrastructures, preservation, provenance, reliability, solution, technology.

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.

Notice en format standard (ISO 2709)

Pour connaître la documentation sur le format Inist Standard.

A01	`01`	`1`		`@0 0196-2892`
A02	`01`			`@0 IGRSD2`
A03		`1`		`@0 IEEE trans. geosci. remote sens.`
A05				`@2 51`
A06				`@2 11`
A08	`01`	`1`	`ENG`	`@1 Geoscience Data Provenance: An Overview`
A09	`01`	`1`	`ENG`	`@1 SPECIAL ISSUE ON GEOSCIENCE DATA PROVENANCE`
A11	`01`	`1`		`@1 LIPING DI`
A11	`02`	`1`		`@1 PENG YUE`
A11	`03`	`1`		`@1 RAMAPRIYAN (Hampapuram K.)`
A11	`04`	`1`		`@1 KING (Roger L.)`
A12	`01`	`1`		`@1 DI (Liping) @9 ed.`
A12	`02`	`1`		`@1 YUE (Peng) @9 ed.`
A12	`03`	`1`		`@1 RAMAPRIYAN (Hampapuram K.) @9 ed.`
A12	`04`	`1`		`@1 KING (Roger L.) @9 ed.`
A14	`01`			`@1 Center for Spatial Information Science and Systems, George Mason University @2 Fairfax, VA 22030 @3 USA @Z 1 aut.`
A14	`02`			`@1 State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University @2 Wuhan 430079 @3 CHN @Z 2 aut.`
A14	`03`			`@1 Goddard Space Flight Center, National Aeronautics and Space Administration @2 Greenbelt, MD 20771 @3 USA @Z 3 aut.`
A14	`04`			`@1 Center for Advanced Vehicular Systems, Mississippi State University @2 Starkville, MS 39762 @3 USA @Z 4 aut.`
A15	`01`			`@1 Center for Spatial Information Science and Systems, George Mason University @2 Fairfax, VA 22030 @3 USA @Z 1 aut.`
A15	`02`			`@1 State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University @2 Wuhan 430079 @3 CHN @Z 2 aut.`
A15	`03`			`@1 NASA Goddard Space Flight Center @2 Greenbelt, MD 20771 @3 USA @Z 3 aut.`
A15	`04`			`@1 Center for Advanced Vehicular SystemsMississippi State University @2 Starkville, MS 39759 @3 USA @Z 4 aut.`
A20				`@1 5065-5072`
A21				`@1 2013`
A23	`01`			`@0 ENG`
A43	`01`			`@1 INIST @2 222H5 @5 354000501604080010`
A44				`@0 0000 @1 © 2013 INIST-CNRS. All rights reserved.`
A45				`@0 52 ref.`
A47	`01`	`1`		`@0 13-0361983`
A60				`@1 P`
A61				`@0 A`
A64	`01`	`1`		`@0 IEEE transactions on geoscience and remote sensing`
A66	`01`			`@0 USA`
C01	`01`		`ENG`	@0 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.
C02	`01`	`2`		`@0 001E01M04`
C02	`02`	`2`		`@0 225B04`
C03	`01`	`2`	`FRE`	`@0 Origine @5 01`
C03	`01`	`2`	`ENG`	`@0 provenance @5 01`
C03	`01`	`2`	`SPA`	`@0 Origen @5 01`
C03	`02`	`2`	`FRE`	`@0 Planète Terre @5 02`
C03	`02`	`2`	`ENG`	`@0 Earth @5 02`
C03	`02`	`2`	`SPA`	`@0 Planeta tierra @5 02`
C03	`03`	`2`	`FRE`	`@0 Système information @5 03`
C03	`03`	`2`	`ENG`	`@0 information systems @5 03`
C03	`04`	`2`	`FRE`	`@0 Fiabilité @5 04`
C03	`04`	`2`	`ENG`	`@0 reliability @5 04`
C03	`04`	`2`	`SPA`	`@0 Fiabilidad @5 04`
C03	`05`	`2`	`FRE`	`@0 Infrastructure @5 05`
C03	`05`	`2`	`ENG`	`@0 infrastructures @5 05`
C03	`06`	`2`	`FRE`	`@0 Technologie @5 06`
C03	`06`	`2`	`ENG`	`@0 technology @5 06`
C03	`06`	`2`	`SPA`	`@0 Tecnología @5 06`
C03	`07`	`2`	`FRE`	`@0 Solution @5 07`
C03	`07`	`2`	`ENG`	`@0 solution @5 07`
C03	`08`	`2`	`FRE`	`@0 Préservation @5 08`
C03	`08`	`2`	`ENG`	`@0 preservation @5 08`
N21				`@1 343`
N44	`01`			`@1 OTO`
N82				`@1 OTO`

Format Inist (serveur)

NO :	PASCAL 13-0361983 INIST
ET :	Geoscience Data Provenance: An Overview
AU :	LIPING DI; PENG YUE; RAMAPRIYAN (Hampapuram K.); KING (Roger L.); DI (Liping); YUE (Peng); RAMAPRIYAN (Hampapuram K.); KING (Roger L.)
AF :	Center for Spatial Information Science and Systems, George Mason University/Fairfax, VA 22030/Etats-Unis (1 aut.); State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University/Wuhan 430079/Chine (2 aut.); Goddard Space Flight Center, National Aeronautics and Space Administration/Greenbelt, MD 20771/Etats-Unis (3 aut.); Center for Advanced Vehicular Systems, Mississippi State University/Starkville, MS 39762/Etats-Unis (4 aut.); Center for Spatial Information Science and Systems, George Mason University/Fairfax, VA 22030/Etats-Unis (1 aut.); State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University/Wuhan 430079/Chine (2 aut.); NASA Goddard Space Flight Center/Greenbelt, MD 20771/Etats-Unis (3 aut.); Center for Advanced Vehicular SystemsMississippi State University/Starkville, MS 39759/Etats-Unis (4 aut.)
DT :	Publication en série; Niveau analytique
SO :	IEEE transactions on geoscience and remote sensing; ISSN 0196-2892; Coden IGRSD2; Etats-Unis; Da. 2013; Vol. 51; No. 11; Pp. 5065-5072; Bibl. 52 ref.
LA :	Anglais
EA :	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.
CC :	001E01M04; 225B04
FD :	Origine; Planète Terre; Système information; Fiabilité; Infrastructure; Technologie; Solution; Préservation
ED :	provenance; Earth; information systems; reliability; infrastructures; technology; solution; preservation
SD :	Origen; Planeta tierra; Fiabilidad; Tecnología
LO :	INIST-222H5.354000501604080010
ID :	13-0361983

Links to Exploration step

Pascal:13-0361983

Le document en format XML

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<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. 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.</div>
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<fA15 i1="04"><s1>Center for Advanced Vehicular SystemsMississippi State University</s1>
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<server><NO>PASCAL 13-0361983 INIST</NO>
<ET>Geoscience Data Provenance: An Overview</ET>
<AU>LIPING DI; PENG YUE; RAMAPRIYAN (Hampapuram K.); KING (Roger L.); DI (Liping); YUE (Peng); RAMAPRIYAN (Hampapuram K.); KING (Roger L.)</AU>
<AF>Center for Spatial Information Science and Systems, George Mason University/Fairfax, VA 22030/Etats-Unis (1 aut.); State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University/Wuhan 430079/Chine (2 aut.); Goddard Space Flight Center, National Aeronautics and Space Administration/Greenbelt, MD 20771/Etats-Unis (3 aut.); Center for Advanced Vehicular Systems, Mississippi State University/Starkville, MS 39762/Etats-Unis (4 aut.); Center for Spatial Information Science and Systems, George Mason University/Fairfax, VA 22030/Etats-Unis (1 aut.); State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University/Wuhan 430079/Chine (2 aut.); NASA Goddard Space Flight Center/Greenbelt, MD 20771/Etats-Unis (3 aut.); Center for Advanced Vehicular SystemsMississippi State University/Starkville, MS 39759/Etats-Unis (4 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>IEEE transactions on geoscience and remote sensing; ISSN 0196-2892; Coden IGRSD2; Etats-Unis; Da. 2013; Vol. 51; No. 11; Pp. 5065-5072; Bibl. 52 ref.</SO>
<LA>Anglais</LA>
<EA>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.</EA>
<CC>001E01M04; 225B04</CC>
<FD>Origine; Planète Terre; Système information; Fiabilité; Infrastructure; Technologie; Solution; Préservation</FD>
<ED>provenance; Earth; information systems; reliability; infrastructures; technology; solution; preservation</ED>
<SD>Origen; Planeta tierra; Fiabilidad; Tecnología</SD>
<LO>INIST-222H5.354000501604080010</LO>
<ID>13-0361983</ID>
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Geoscience Data Provenance: An Overview

Geoscience Data Provenance: An Overview

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