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WISE SoE TCM data reporting - data processing and QC issues

WISE SoE TCM data reporting - data processing and QC issues. What is QA and QC?. Quality Assurance. Quality Control/check. A series of analytical measurements used to assess the quality of the analytical data (The “tools”). An overall management plan to guarantee the

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WISE SoE TCM data reporting - data processing and QC issues

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  1. WISE SoE TCM data reporting -data processing and QC issues Event: 2013 Marine & Coastal Eionet Workshop, 24-25 September Author: Jørgen Nørrevang Jensen, ICES

  2. What is QA and QC? Quality Assurance Quality Control/check A series of analytical measurements used to assess the quality of the analytical data (The “tools”) An overall management plan to guarantee the integrity of data (The “system”) Event: 2013 Marine & Coastal Eionet Workshop, 24-25 September Author: Jørgen Nørrevang Jensen, ICES

  3. Sources of errors/noise in TCM data Main sources of “errors” Size of noise/error Large Medium-large Medium Small- Medium Small-medium Spatial and temporal distribution -Autocorrelation Sampling strategy QA Representative? Use of additional inform. Sample Analytical method Analytical procedures Chemical analysis Entry errors Linking of fields Data entry QC Data transfer Unit conversions Event: 2013 Marine & Coastal Eionet Workshop, 24-25 September Author: Jørgen Nørrevang Jensen, ICES

  4. Deadlines for data submissions Event: 2013 Marine & Coastal Eionet Workshop, 24-25 September Author: Jørgen Nørrevang Jensen

  5. Overview of the data flow for the TCM SoER data November Regional/national databases Eionet CDR Country folders QC and feed- back by ICES QC and feed- back by ETC QC screening of data Collective upload from this year ICES DOME Data on contaminants in biota, sediment and seawater ICES Oceano- graphic database ICES TCM TCM ETC template views QC marking and duplicate checking by ETC QC and feedback by EEA TCM data April Event: 2013 Marine & Coastal Eionet Workshop, 24-25 September Author: Jørgen Nørrevang Jensen

  6. ICES data flow overviewData from OSPAR, HELCOM, AMAP, etc. Feedback Contaminants in biota, sediments and seawater Oceanographic data (nutrients, chlorophyll, T, S, etc.) Feedback “Free” format Fixed format Data transformation to ICES format QC screening of data QC screening of data DOME ICES Oceanographic Database ETC DD structure Event: 2013 Marine & Coastal Eionet Workshop, 24-25 September Author: Jørgen Nørrevang Jensen, ICES

  7. TCM priority data – main QC issues Event: 2013 Marine & Coastal Eionet Workshop, 24-25 September Author: Jørgen Nørrevang Jensen, ICES

  8. TCM Station ID’s – a big mess • Station identification can be difficult. Comparisons of stations within and between station tables have high-lighted these problems: • Duplicates most likely occurs with the Eionet station table. These are not always easy to confirm due to slightly different coordinates and ID’s • Eionet stations missing – some data refers to a station that is not reported in the station table • The same stations most likely occurs in several station lists (Eionet, WFD, and the ICES station dictionary). As above the coordinates and ID’s are often slightly different • Eionet stations that “refers” to a WFD’s station is not always found in the WFD’s station list Event: 2013 Marine & Coastal Eionet Workshop, 24-25 September Author: Jørgen Nørrevang Jensen, ICES

  9. KML files with WFD, Eionet, and ICES Station dictionary stations Event: 2013 Marine & Coastal Eionet Workshop, 24-25 September Author: Jørgen Nørrevang Jensen, ICES

  10. KML files with WFD, Eionet, and ICES Station dictionary stations Event: 2013 Marine & Coastal Eionet Workshop, 24-25 September Author: Jørgen Nørrevang Jensen, ICES

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