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Guidelines for QC/QA from EMODNet Chemistry pilot

Guidelines for QC/QA from EMODNet Chemistry pilot Marina Lipizer, Istituto Nazionale di Oceanografia e di Geofisica Sperimentale–OGS Dipartimento OCE. Kick-off Meeting, June 3-4 2013, Trieste, Italy. EMODnet Pilot Project: QA/QC: what has been done so far.

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Guidelines for QC/QA from EMODNet Chemistry pilot

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  1. Guidelines for QC/QA from EMODNet Chemistry pilot Marina Lipizer, Istituto Nazionale di Oceanografia e di Geofisica Sperimentale–OGS Dipartimento OCE Kick-off Meeting, June 3-4 2013, Trieste, Italy

  2. EMODnet Pilot Project: QA/QC: what has been done so far Quality assurance is the end-to-end process, that ensures that the data is captured, processed, analysed and harmonized according to a predetermined set of conditions that are consistently applied Quality control is the system of activities aimed to control the quality of measurements so that it meets the needs of users. It can be applied at a particular point during the process of acquiring (sampling-laboratory), processing, analysing and harmonizing data Why? To ensure data consistency within a single data set and within a collection of data sets and to ensure that the quality and errors of the data are apparent to the user who has sufficient information to assess its suitability for a task (IOC/UNESCO Manual, 1993). M. Lipizer - Guidelines for QC/QA from EMODNet Chemistry pilot

  3. “Survey” of existing QA/QC protocols Identification of lacking QA/QC protocols Definition of EMODnet QA/QC Guidelines EMODnet Pilot Project: QA/QC: what has been done so far? Challenge of 8 groups of compounds, 17 selected parameters in 3 matrices M. Lipizer - Guidelines for QC/QA from EMODNet Chemistry pilot

  4. SeaDataNet Identification of lacking QA/QC protocols From: Chemical lot Pilot Project – Survey of existing QA/QC Protocols Time 0 Matrices Water Sediment Biota Parameter groups • Fertilizers • Partial pressure dissolved gases (e.g.O2) • Silicates • Chlorophyll • Organic matter • Acidity • Heavy metals • Hydrocarbons • Pesticides & biocides • Antifoulants • Pharmaceuticals • Radionuclides • Plastics M. Lipizer - Guidelines for QC/QA from EMODNet Chemistry pilot

  5. Water For: Temperature, Salinity, fertilizers, dissolved oxygen From SDN QC Protocols: AUTOMATIC QUALITY CONTROL CHECKS: On Metadata: Date and time (valid format) Latitude and longitude (valid format) Position must not be on land! On Data: Global range (expected extremes encountered in the oceans) Regional range (expected extremes encountered in particular regions) Deepest pressure (…profile does not contain pressures higher than the bottom bathymetry) Spike (…large differences between adjacent values) Gradient (vertically adjacent salinity and temperature data not too different) Density inversion (…density normally increasing with increasing pressure in a profile) Pressure increasing (Pressures from the profile monotonically increasing). M. Lipizer - Guidelines for QC/QA from EMODNet Chemistry pilot

  6. Surface distribution Vertical distribution Water For: Temperature, Salinity, fertilizers, dissolved oxygen From SDN QC Protocols: “SCIENTIFIC/VISUAL” QUALITY CONTROL CHECKS: On Data (with important contribution from Regional Experts): Property-property plot (e.g. TS, N:P, nutrients-salinity,...) Compare with climatology Comparison with min-max ranges for the regions Tools used: ODV visual inspection (broad range check) Example from the Adriatic Sea: Nutrients in the water column: with the use of ODV tool: outliers detection. M. Lipizer - Guidelines for QC/QA from EMODNet Chemistry pilot

  7. Definition of EMODnet QA/QC Guidelines M. Lipizer - Guidelines for QC/QA from EMODNet Chemistry pilot

  8. Biota • Species (ERMS or ITIS) • Number of individuals • Tissue Data guidelines General to all matrices • Missing values • Use of CAS numbers • Intercalibrations • Reference Materials • Uncertainty • Code list • Cruise ID's • Basis (of determination:i.e.specific matrix) • Depth Water • Method of filtration for trace metals • Suspended Particulate Matter Sediment • Method of chemical extraction • Grain size • Normalisers Controlled Vocabularies • Parameters • Units Meta-data requirements • Purpose of monitoring • Station names • Sampling method and instrument • Method of analysis • Method of filtration for trace metals • Method of chemical extraction • Limit of detection/limit of determination Normalisation (by sampling matrix) • Sediment • Biota • Water M. Lipizer - Guidelines for QC/QA from EMODNet Chemistry pilot

  9. Definition of EMODnet QA/QC Guidelines Further outcomes: Guidelines for: Fertilizers and Dissolved gas (Water) – reference for Black Sea Guidelines for: Antifoulants (Biota) Guidelines for: Hydrocarbons, pesticides, heavy metals (Water & Sediment) M. Lipizer - Guidelines for QC/QA from EMODNet Chemistry pilot

  10. http://www.emodnet-chemistry.eu/portal/portal/emodnet/Extranethttp://www.emodnet-chemistry.eu/portal/portal/emodnet/Extranet From: Chemical lot Pilot Project user name: emduser password: 91L07G207 M. Lipizer - Guidelines for QC/QA from EMODNet Chemistry pilot

  11. EMODnet Guidelines EMODnet Regional QA/QC Procedure (BS) ICES-Report 47 From: Chemical lot Pilot Project – Survey of existing QA/QC Protocols Time =End of Pilot Project Matrices Water Sediment Biota Parameter groups • Fertilizers • Silicates • Partial pressure dissolved gases (e.g.O2) • Chlorophyll • Organic matter • Acidity • Heavy metals • Hydrocarbons • Pesticides & biocides • Antifoulants • Pharmaceuticals • Radionuclides • Plastics SeaDataNet M. Lipizer - Guidelines for QC/QA from EMODNet Chemistry pilot

  12. Open issues form Chemical lot PP: For “Exotic (not SDN)” parameters and contaminants it was highlighted that: • Difficult to fit SDN classic QC protocol! • Sediment and biota (missing in SDN) • How to apply Range checks? Not enough data availability for a climatology; • How to apply Spike checks? The contaminants are more related to an “event” logic… high-values could be related to events, not necessary to errors (sampling/analytical)! • Often data below detection limits… (not specified!!!) …some of the lessons learned… The complexity of the measurements covering 8 groups of parameters collected on 3 matrices → need to have improved metadata description and continue with adapting process ofSDN standards; The “exotic parameters” → need an ad hoc QC protocol (no spikes, difficult to apply ranges); M. Lipizer - Guidelines for QC/QA from EMODNet Chemistry pilot

  13. Future: Verify MSFD requirements Mantain and possibly implement SDN Protocols (for other matrices, contaminants) Improve inventory of existing QA/QC Protocols (any others?) Hopefully new data harvesting will supply enough data to calculate ranges for exotic parameters; Involvement of all Marine Conventions highly required, in particular increase contact with Mediterranean and Black Sea (MEDPOL, Black Sea Convention...) to obtain local ranges; Consider proposal of a 2 levels QF scheme from IODE workshop (http://www.iode.org/index.php?option=com_oe&task=viewDocumentRecord&docID=5109) M. Lipizer - Guidelines for QC/QA from EMODNet Chemistry pilot

  14. EMODnet 2: WP3: QA/QC – Validation – MSFD Interaction WP Leader: ISPRA (Italy) • Guidelines with MSFD requirements • Quality Control and Quality Assurance • Inventory of analytical methods M. Lipizer - Guidelines for QC/QA from EMODNet Chemistry pilot

  15. New big challenge: Inventory of analytical methods Why? To collect detailed information on analytical method, uncertainty and detection/quantification limit for each parameter and different datasets Particular requirements: Limit of detection for synthetic pollutants (pesticides, antifoulants, PAHs,...) (is zero really absence of contamination?) (Background concentration of synthetic pollutants has to be zero, but sometimes it is “below detection limit” (is this stated?) To better assess intercomparison among datsets (tests with certified reference standards? Long term data consistency?) Expected outcomes: Inventory of analytical method descriptions for sample analysis …..High quality data products published! M. Lipizer - Guidelines for QC/QA from EMODNet Chemistry pilot

  16. Data of known quality are more usefulthan data of unknown quality Thanks for your attention! M. Lipizer - Guidelines for QC/QA from EMODNet Chemistry pilot M. Lipizer - Guidelines for QC/QA from EMODNet Chemistry pilot

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