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EIONET European Environment Information and Observation Network Based on HPE Version 0.7 2004-10-18 * * * EEA and EIONET Presentation.

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Presentation on theme: "EIONET European Environment Information and Observation Network Based on HPE Version 0.7 2004-10-18 * * * EEA and EIONET Presentation."— Presentation transcript:

1 EIONET European Environment Information and Observation Network Based on HPE Version * * * EEA and EIONET Presentation for the Technical workshop on improving the quality of reporting on designated areas EEA, April 2005 Sheila Cryan, EIONET Data Flow

2 2 Introduction to EEA and EIONET

3 3 What is EEA? In June 1990, the Council of Ministers adopted the regulation which forms the legal basis of the Agency: Council Regulation 1210/1990/EEC, amended by –Council Regulation 933/1999/EC of 29 April 1999 and –Council Regulation 1641/2003/EC of 29 September 2003 The EEA was set up as a legally independent European Community body and in 1994, work started in Copenhagen with an initial staff of 6 people. In 2004, the EEA had a staff of 115+ and an annual budget of 31 MEUR A core task of the EEA is: – to establish and coordinate the EIONET in order – to collect, process and analyse environmental data; – to provide high quality information on Europe‘s environment.

4 4 The EEA's Mission Statement The European Environment Agency is the EU body dedicated to providing sound, independent information on the environment. We are a main information source for those involved in developing, adopting, implementing and evaluating environmental policy, and also the general public. source: EEA 2005 Annual Management Plan

5 5 Who are EEA’s clients? Institutions and governments: European Commission, Parliament, Council, EEA member countries Influencers: NGOs, business, media, advisory groups, scientists, debaters General public

6 6 What are our products? EEA 5-year state and outlook reports EEA Signals EEA Reports EEA Briefings EEA Technical reports EEA Indicators EEA Multimedia publications Information services on the internet

7 7 Management Board Bureau Executive Director Scientific Committee EEA Governance

8 8 EEA’s networking partners Commission services (DG ENV, TREN, AGRI, Eurostat, JRC) International organisations (UNEP, UNECE, WHO, OECD …) EIONET partners in 31 member countries and 6 collaborating countries (NFPs, NRCs)

9 9 Member countries and collaborating countries

10 10 What is EIONET?

11 11 Spatial levels European EIONET: Organisational Network National EEA NRC NRC NFP ETC 900+ NRCs in 330+ organisations NFPs 1 Agency 5 Topic Centres

12 12 Organisational Network: Main EIONET nodes EEA: the central node of the extended network EIONET. ETCs: multi-national consortia, contracted by EEA to execute tasks of EEA's work programme. ETCs work as an extension of the Agency and are responsible for data collection in their topic area. NFPs: are appointed and funded by member countries and responsible for the coordination of national activities related to the EEA work programme. NRCs: are nationally funded institutions with expertise in specific environmental topic areas or sectors. Collectors and providers of national environmental data.

13 13

14 Data quality management in EIONET Operational objectives for project Maintaining and quality assuring priority data flows “To provide an overview of the quality of the data provided by the member countries by documenting QA/QC processes country by country, in order to improve the overall quality of data.” (source: EEA Annual Management Plan 2005)

15 15 What is data quality? (1/2) ISO 9000:2000 definitions translated into plain English A quality is a characteristic that a product or service must have. For example, products must be reliable, useable, and repairable (...) In short, a quality is a desirable characteristic. Quality management includes all the activities that managers carry out in an effort to implement their quality policy. These activities include quality planning, quality control, quality assurance, and quality improvement.

16 16 What is data quality? (2/2) Data quality is a measure of the degree of usefulness of the data for a specific purpose. Data quality indicators are qualitative or quantitative descriptors of data quality.

17 17 The theory in short, part 1: Models, concepts and frameworks Concerning quality in a broader sense: ISO 9000: A family of International Standards for quality management TQM: Total Quality Management search on google.com: hits search on amazon.com: books EFQM: Excellence Model of the European Foundation for Quality Management The word quality might have been overused in the past years. A too generic definition bears the risk of loosing focus.

18 18 The theory in short, part 2: Models, concepts and frameworks Concerning data quality in the in sensu strictu: ESS: Quality Declaration of the European Statistical System: IMF: Data Quality Reference Site of the International Monetary Fund (IMF) OECD initiatives on environmental data quality FAO‘s approach to data quality evaluation and monitoring A lot of literature available. Enough to read for everyone.

19 19 Data quality management in EIONET: Too little, too late? Data quality management is happening in EIONET. Most of the QA/QC work is carried out by Topic Centres. The level of available QA/QC documentation is improving. There is a clearly a lack of visibility for this area of work. An overarching framework for EEA/EIONET is missing. Operational objectives for project Maintaining and quality assurung priority data flows “ To provide an overview of the quality of the data provided by the member countries by documenting QA/QC processes country by country, in order to improve the overall quality of data.” (source: Draft EEA Annual Management Plan 2005)

20 20 Data quality: 5 steps to perfection 2 years Certainty Knowledge Enlightenment Awakening Uncertainty Most typical problems on this level: People do no really understand the issue No formalised procedures, no project plans Problems are deferred or even forgotten [ A free interpretation of the Capability Maturity Model - CMM ] Regular quantitative data quality reporting for: Processes (collection, processing, publication) Products (reports, indicators, web services) Focus on this level is on: Problem prevention Change management

21 21 Data quality dimensions Representativeness Accuracy

22 22 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 My personal preference:...

23 23

24 24 EEA data and information flow Data collection Data handling Control, merge, assessment Presentation, Information Dissemination Flow Reportnet focus EEA/EIONET assessment processes information processes Tools to serve MS, EEA and other institutions EEA/EIONET

25 25 Reports EEA NRC NRC NFP ETC Q1Q2 Data quality: Where it matters

26 26 How to quantify data quality? (1/2)

27 27 How to quantify data quality? (2/2) You can not measure what is not defined You can not improve what can't be measured Start small, grow fast. Focus on understandable data quality dimensions. Easy to measure, preferably via simple automated analysis. Providing the right level of information to data providers (Q1) and end-users (Q2) The aim: simple, regular and user-oriented data quality reporting

28 28 Regular data quality reporting CDDA Data Quality for Country X

29 29 Priority Data Flows: Annual Progress Reports Annual monitoring and benchmarking covering: –Relevance –Punctuality –Timeliness –Completeness

30 30 Examples from other thematic areas (1/2)

31 31 Examples from other thematic areas(2/2)

32 32 Summary Task: “To provide an overview of the quality of the data provided by the member countries by documenting QA/QC processes country by country, in order to improve the overall quality of data.” Aim: Simple, regular and user-oriented data quality reporting

33 33 Next steps We explain how the CDDA reporting format is designed to help you to report good quality data We show you the CDDA quality procedures that happen after you deliver your data We tell you about the tools under development in Reportnet You tell us about how information on designated areas is collected and organised in your country now We begin to think together about how the CDDA needs to evolve

34 34 Questions (1/3) Where do you get the data you need to complete the CDDA reporting format ? Choose the most accurate answer for your country: 1.We have one national system that provides all the information needed. 2.We have several different systems covering different parts of the country. 3.We have several different systems covering different types of designation. 4.We use many different sources.

35 35 Questions (2/3) Is the information on nationally designated areas, NATURA2000/Emerald areas and areas designated under conventions integrated in your country? Choose the most accurate answer for your country: 1.Yes completely 2.We are integrating nationally designated areas: with NATURA2000/Emerald areas with areas designated under conventions 1.All these types of information are completely separate

36 36 Questions (3/3) Does your country have GIS information for designated area boundaries? Choose the most accurate answer for your country: 1.We hold all designated area boundaries in a common GIS format. 2.We are starting to implement a common GIS format for designated area boundaries. 3.We have several different GIS systems. 4.We are not planning a GIS system for designated area boundaries.


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