CyberinfraV1, Main, Exploration, bibRecord, 000126

Data quality through a web-based QA/QC system: implementation for atmospheric mercury data from the global mercury observation system.

Identifieur interne : 000126 ( Main/Exploration ); précédent : 000125; suivant : 000127

Data quality through a web-based QA/QC system: implementation for atmospheric mercury data from the global mercury observation system.

Auteurs : Francesco D'Amore [Italie] ; Mariantonia Bencardino ; Sergio Cinnirella ; Francesca Sprovieri ; Nicola Pirrone

Source :

Environmental science. Processes & impacts [ 2050-7895 ] ; 2015.

RBID : pubmed:26174740

English descriptors

KwdEn :
- Air Pollutants (analysis), Air Pollution (statistics & numerical data), Atmosphere (chemistry), Environmental Monitoring, Internet, Mercury (analysis).
MESH :
- chemical , analysis : Air Pollutants, Mercury.
- chemistry : Atmosphere.
- statistics & numerical data : Air Pollution.
- Environmental Monitoring, Internet.

Abstract

The overall goal of the on-going Global Mercury Observation System (GMOS) project is to develop a coordinated global monitoring network for mercury, including ground-based, high altitude and sea level stations. In order to ensure data reliability and comparability, a significant effort has been made to implement a centralized system, which is designed to quality assure and quality control atmospheric mercury datasets. This system, GMOS-Data Quality Management (G-DQM), uses a web-based approach with real-time adaptive monitoring procedures aimed at preventing the production of poor-quality data. G-DQM is plugged on a cyberinfrastructure and deployed as a service. Atmospheric mercury datasets, produced during the first-three years of the GMOS project, are used as the input to demonstrate the application of the G-DQM and how it identifies a number of key issues concerning data quality. The major issues influencing data quality are presented and discussed for the GMOS stations under study. Atmospheric mercury data collected at the Longobucco (Italy) station is used as a detailed case study.

DOI: 10.1039/c5em00205b
PubMed: 26174740

Affiliations:

Italie

Le document en format XML

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<author><name sortKey="D Amore, Francesco" sort="D Amore, Francesco" uniqKey="D Amore F" first="Francesco" last="D'Amore">Francesco D'Amore</name>
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<author><name sortKey="Bencardino, Mariantonia" sort="Bencardino, Mariantonia" uniqKey="Bencardino M" first="Mariantonia" last="Bencardino">Mariantonia Bencardino</name>
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<author><name sortKey="Cinnirella, Sergio" sort="Cinnirella, Sergio" uniqKey="Cinnirella S" first="Sergio" last="Cinnirella">Sergio Cinnirella</name>
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<author><name sortKey="Sprovieri, Francesca" sort="Sprovieri, Francesca" uniqKey="Sprovieri F" first="Francesca" last="Sprovieri">Francesca Sprovieri</name>
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<author><name sortKey="Pirrone, Nicola" sort="Pirrone, Nicola" uniqKey="Pirrone N" first="Nicola" last="Pirrone">Nicola Pirrone</name>
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<series><title level="j">Environmental science. Processes & impacts</title>
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<front><div type="abstract" xml:lang="en">The overall goal of the on-going Global Mercury Observation System (GMOS) project is to develop a coordinated global monitoring network for mercury, including ground-based, high altitude and sea level stations. In order to ensure data reliability and comparability, a significant effort has been made to implement a centralized system, which is designed to quality assure and quality control atmospheric mercury datasets. This system, GMOS-Data Quality Management (G-DQM), uses a web-based approach with real-time adaptive monitoring procedures aimed at preventing the production of poor-quality data. G-DQM is plugged on a cyberinfrastructure and deployed as a service. Atmospheric mercury datasets, produced during the first-three years of the GMOS project, are used as the input to demonstrate the application of the G-DQM and how it identifies a number of key issues concerning data quality. The major issues influencing data quality are presented and discussed for the GMOS stations under study. Atmospheric mercury data collected at the Longobucco (Italy) station is used as a detailed case study.</div>
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<country name="Italie"><noRegion><name sortKey="D Amore, Francesco" sort="D Amore, Francesco" uniqKey="D Amore F" first="Francesco" last="D'Amore">Francesco D'Amore</name>
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Data quality through a web-based QA/QC system: implementation for atmospheric mercury data from the global mercury observation system.

Data quality through a web-based QA/QC system: implementation for atmospheric mercury data from the global mercury observation system.

Source :

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri

Pour générer des pages wiki

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