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  • This paper discusses main problems associated with evaluation of performance and impact of long-term environmental programs. Lack of data standards, incompleteness of archived datasets and insufficient statistical power were identified as main limits in functionality of monitoring networks. To avoid these failures, environmental programs should be designed with inception to incorporate data management as their integral part. Especially in global programs, local and regional data managers should invest significant proportion of their effort to handle documentation in terms of standardized coding, data formats, metadata coding and consistency of records over time. Up-to-date trends in building knowledge-based infrastructures are illustrated using example of monitoring of atmospheric pollution by persistent organic pollutants (POPs).
  • This paper discusses main problems associated with evaluation of performance and impact of long-term environmental programs. Lack of data standards, incompleteness of archived datasets and insufficient statistical power were identified as main limits in functionality of monitoring networks. To avoid these failures, environmental programs should be designed with inception to incorporate data management as their integral part. Especially in global programs, local and regional data managers should invest significant proportion of their effort to handle documentation in terms of standardized coding, data formats, metadata coding and consistency of records over time. Up-to-date trends in building knowledge-based infrastructures are illustrated using example of monitoring of atmospheric pollution by persistent organic pollutants (POPs). (en)
Title
  • Estimating Impacts of Environmental Interventions in Monitoring Programs Requires Conceptual Data Models and Robust Statistical Processing
  • Estimating Impacts of Environmental Interventions in Monitoring Programs Requires Conceptual Data Models and Robust Statistical Processing (en)
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  • Estimating Impacts of Environmental Interventions in Monitoring Programs Requires Conceptual Data Models and Robust Statistical Processing
  • Estimating Impacts of Environmental Interventions in Monitoring Programs Requires Conceptual Data Models and Robust Statistical Processing (en)
skos:notation
  • RIV/00216224:14310/13:00065522!RIV14-TA0-14310___
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  • 73246
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  • RIV/00216224:14310/13:00065522
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  • environmental monitoring; persistent organic pollutants; data model; data standards; statistics (en)
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  • [7DB668021C54]
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  • Neusiedl am See, Austria
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  • Heidelberg
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  • Environmental Software Systems : Fostering Information Sharing. IFIP AICT vol. 413
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  • Dušek, Ladislav
  • Holoubek, Ivan
  • Hřebíček, Jiří
  • Jarkovský, Jiří
  • Klánová, Jana
  • Hůlek, Richard
  • Gregor, Jakub
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issn
  • 1868-4238
number of pages
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  • 10.1007/978-3-642-41151-9_20
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  • Springer-Verlag
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  • 9783642411502
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  • 14310
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