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Publikationstyp
Monographie
Erscheinungsjahr
2013
DOI
Standardized and automated data quality assurance at GAW Stations: concept, methods and tools
Standardized and automated data quality assurance at GAW Stations: concept, methods and tools
GGMT-2013, Peking
Autor:innen
Herausgeber
Quelle
Schlagwörter
Forschungskennzahl (FKZ)
Verbundene Publikation
Zitation
Standardized and automated data quality assurance at GAW Stations: concept, methods and tools, 2013. [online]. Verfügbar unter: https://openumwelt.de/handle/123456789/9087
Zusammenfassung englisch
Global Atmosphere Watch (GAW) concentrates on standardized measurement and its calibration, on standardized training and data collection. However, operational data processing and quality assurance is neither centrally supported nor standardized. Despite the fact, that a considerable number of institutions worldwide deliver excellent results, it is questionable whether all GAW measurement stations perform the procedures for data processing, data analysis and quality assurance in an effectively comparable manner. How to gain a standardized processing and same standard of expertise at all stations? GAW hitherto requires a worldwide comparability of measured data at the whole number of stations. Therefore a standardization of all procedures applied on measurement data is required to meet data quality objectives.
Procedures and actions taken on measurement data at GAW stations within the global network are of elementary relevance for the resulting data quality and for the comparability of data. This topic deserves particular attention because of the fact that actions taken on data for data preparation and validation often may have a strong effect on the information in the treated measurement data. Decisions for example which correction has to be taken on which case, are not trivial. And for example even the decision when and in what case a mean value or a median has to be used also is not a trivial one. Data quality assurance in connection with data handling and data processing is a highly differentiated task which needs and deserves standardization throughout the global GAW network. Nevertheless GAW has a well-developed scientific infrastructure for quality assurance there is a substantial difference between the given recommendations which itself is the prescription for standardization and several hundred implementations at GAW stations worldwide.
It is assumed, that a systematically applied workflow-software approach can help to overcome this problem.Quelle: Ludwig Ries: "Standardized and automated data quality assurance at GAW Stations: concept, methods and toolsŁ,2013.
Procedures and actions taken on measurement data at GAW stations within the global network are of elementary relevance for the resulting data quality and for the comparability of data. This topic deserves particular attention because of the fact that actions taken on data for data preparation and validation often may have a strong effect on the information in the treated measurement data. Decisions for example which correction has to be taken on which case, are not trivial. And for example even the decision when and in what case a mean value or a median has to be used also is not a trivial one. Data quality assurance in connection with data handling and data processing is a highly differentiated task which needs and deserves standardization throughout the global GAW network. Nevertheless GAW has a well-developed scientific infrastructure for quality assurance there is a substantial difference between the given recommendations which itself is the prescription for standardization and several hundred implementations at GAW stations worldwide.
It is assumed, that a systematically applied workflow-software approach can help to overcome this problem.Quelle: Ludwig Ries: "Standardized and automated data quality assurance at GAW Stations: concept, methods and toolsŁ,2013.