1. EIONET European Environment Information and Observation Network http://www.eionet.eu.int/ Version 0.9 2005-06-09 * * * Reportnet introduction and data quality in EIONET A presentation for the technical workshop on Air quality reporting EEA, Copenhagen 9-10 June 2005 Hermann Peifer, Project Manager EIONET Data Flow

2. 2 Why Reportnet? The Public and Decision-Makers NFP, other National Authorities PCP, NRC EEA Big report consultants ETC ACC ETC BD ETC Water CECOthers

3. 3 Reportnet Streamlined data flows The Public and Decision-Makers NFP and other National Authorities PCP, NRC Reportnet ETC ACC ETC BD ETC Water CECOthers EEA

4. 4 Reportnet in 30 seconds EIONET's integrated data reporting system Centralised services for a de-centralised network A suite of Internet-based tools Simple to use for the data provider Ensuring visibility and traceability Data for policy-relevant information The goal: a transparent data reporting Core modules for data collection: - Reporting Obligations Database (ROD) - Generic Data Exchange Module (GDEM) - EIONET Directory (DIR) - Central Data Repository (CDR) - Data Dictionary (DD) and Content Registry (CR)

5. 5 Reportnet and AQ data A guided tour

6. 6 Data quality in EIONET Too little? Too late? QA1QA2

7. 7 Reports EEA NRC NRC NFP ETC Data quality: Where it matters most Reportnet Data collection EEA/EIONET Data processing EEA/Users Data dissemination QA1QA2

8. 8 Priority data flow areas in EIONET Air quality Exchange of Information Decision Monthly ozone, summer ozone and annual ozone data CLRTAP data and NEC data Climate change UNFCCC reporting and EU GHG data Water River, Lake and Groundwater Quality Transitional, coastal and marine data Biodiversity Common Database on Nationally Designated Areas Land use CLC 2000 update, Contaminated soil

9. 9 EIONET member countries and collaborating countries

10. 10 Evaluation criteria: river quality data

11. 11 Priority Data Flows: Annual Progress Reports 1999-2004 Annual monitoring of data deliveries and benchmarking of countries

12. 12 What is data quality? Accuracy Punctuality Representativeness

13. 13 Which dimension is most important? Relevance Timeliness Comparability Accuracy Accessibility Completeness Many say: Relevance Another popular choice: Timeliness The classical one: Accuracy A smart answer is: All Another view is:

14. 14 Is this the way to go ahead?

15. 15 The aim: regular data quality reporting 0 Punctuality Timeliness Representativeness Comparability Accuracy Completeness Air Quality data for Country X 1995 2000 2005

16. 16 Data quality in EIONET: Summary Data quality in EIONET needs: –Continuous improvement –More documentation –More visibility Topic-specific QA/QC procedures have to be embedded into a data quality management framework. The overall aim is (preferably) quantitative data quality reporting which is regularly updated in order to show trends over time. EIONET data quality reporting (mainly targeted at data providers, i.e. Countries) has to be complemented by data quality information targeted at end-users of the data. EEA Data Quality Framework QA/QC for Air Quality data