National examples of data validation

Slides:



Advertisements
Similar presentations
Waste Monitoring and Reporting Lubomir Nondek DHV CR, Prague Czech Republic.
Advertisements

UNSD/UNEP data collection on waste DI Milla Neubauer, Qatar 19 June
United Nations Workshop on Revision 3 of Principles and recommendations for Population and Housing Censuses and Census Evaluation Amman, Jordan, 19 – 23.
An Integrated Approach to Economic Statistics “ The Canadian Experience” UNSD – IBGE Workshop on Manufacturing Statistics Kevin Roberts Rio de Janeiro,
United Nations Statistics Division Recoding the business register to ISIC Rev.4.
Electronic reporting in Poland 27th Voorburg Group Meeting Warsaw, Poland October 1st to October 5th, 2012 Central Statistical Office of Poland.
Methods of data collection Dr. Brigitte Karigl, Qatar 19 June
Environmental Statistics of Jordan Department of Statistics Jordan Munther Badriyah Head of Environment Statistics Division 20-22/10/-2010 Santiago - Chili.
Compilation of emission inventories The situation in the Netherlands Special Session of the UNCEEA on Climate Change (New York, 25 June afternoon)
The energy balance in Finland The 7th Oslo Group Meeting, Helsinki Leena Timonen
Statistics Portugal « (Quality Rome, 10 July 2008) « Simplified Business Information: « Improving quality by using administrative data in Portugal.
Specific aspects of EU and OECD data collection on waste Dr. Brigitte Karigl, Qatar 19 June
Workshop on waste data collection system for EIONET reprezentatives from West Balcans 4 May Zagreb, Croatia WASTE STATISTICS IN ROMANIA Author:
Statistics Finland as the national authority for Finland’s national greenhouse gas inventory – experiences and future challenges UNECE Meeting on Climate.
New sources – administrative registers Genovefa RUŽIĆ.
Instituto Nacional de Estadística, Geografía e Informática (INEGI), Mexico National Economic Surveys (NES) Jun 2007.
| Slide 1 E-PRTR data flows in a Shared Environmental Information System Norbert Pfaffinger IT Business Analysis Federal Environment.
Combining Survey and Administrative Data to Develop Statistics for Monitoring Climate Change UNECE Experts Forum on Climate Change Related Statistics Geneva,
Implementation of the 2008 System of National Accounts in Azerbaijan and some challenges of FISIM estimation Author: Nuru Suleymanov State Statistics Committee.
| Folie | Folie 2 Reporting according to pollution registers Experiences in Austria Mag. Daniela Wappel.
Statistical office of Montenegro (MONSTAT) & Environmental Protection Agency of Montenegro (EPA) GENEVA, 04 November 2013.
RECENT DEVELOPMENT OF SORS METADATA REPOSITORIES FOR FASTER AND MORE TRANSPARENT PRODUCTION PROCESS Work Session on Statistical Metadata 9-11 February.
2nd Joint Workshop on Pesticide Indicators Pesticide Usage Survey on Wheat in Hungary Zsuzsanna Szabó Hungarian Central Statistical Office September.
 Andersen Consulting IM01 - Organizational Structure & Master Data in IM November, 2000.
Abfallbewertung Bundesabfallwirtschaftsplan Andreas Moser t Tel: Establishment of inspection plans: The role of.
M O N T E N E G R O Negotiating Team for the Accession of Montenegro to the European Union Working Group for Chapter 27 – Environment and Climate Change.
Work shop on Procurement Key-performance indicators with selected implementing entities Public procurement and property administration agency August 2016.
Oslo Group on Energy Statistics Use of Administrative Data Sources
The Development of Statistical Business Registers in Myanmar
UNECE Seminar on New Frontiers for Statistical Data Collection, Geneva
From data collection to reporting - experiences and boundary conditions for an aggregating reporting system Michael Nagy Umweltbundesamt Wien Experience.
PRESENTATION OF MONTENEGRO
COMPILATION OF DISTRIBUTIVE TRADE STATISTICS IN UGANDA
Ministry of Environment and Physical Planning Management of waste oils
Presentation of the Hungarian Grant Project
Cross-validation of waste statistics data
Working Group ”Environmental Accounts”
Sharne Bailey, Tony Byrne UK, Office for National Statistics
Improvement of Austrian Waste Management Data for OECD/EUROSTAT Joint Questionnaire and Waste Statistics Regulation Brigitte Karigl / Federal Environment.
Re-engineering the French Business Register ( )
Implementation of a more efficient way of collecting data SBS: use of administrative data Statistics Belgium June 2009.
OECD SHORT-TERM ECONOMIC STATISTICS WORKING PARTY (STESWP) MEETING
Dublin, april 2012 Role of Business Register in coordinated sampling
Quality Aspects and Approaches in Business Statistics
Sample surveys versus business register evaluations:
E-PRTR Regulation PRTR Protocol
Waste accounts in the Netherlands
Eurostat publications on waste statistics
Secondary Wastes Methods of data compilation and the effects on the comparability of results THE CONTRACTOR IS ACTING UNDER A FRAMEWORK CONTRACT CONCLUDED.
National energy balances since 1950
CLIENT RELATIONSHIP MANAGEMENT KEEPING TRACK OF REQUESTS THE EASY WAY
Effects of the point of measurement on the comparability of the data on waste treatment Methods of data compilation and the effects on the comparability.
Domestic extraction of mineral raw materials
Wir bewegen I n f o r m a t i o n e n
Italian situation in the following areas:
Validation of WStatR-Data
Agenda Context of the BR Redesign Redesign Objectives Redesign changes
Presentation to the Committee for Establishment of a Business Register
Wiesbaden, 24 October, 2007 Svetlana Shutova Statistics Estonia
Mapping Data Production Processes to the GSBPM
Regional Seminar on Developing a Program for the Implementation of the 2008 SNA and Supporting Statistics Bengi YOSUNKAYA September 2013 Ankara.
Environmental Protection Expenditure Accounts
Parallel Session: BR maintenance Quality in maintenance of a BR:
Assurance of Quality of German National Accounts by Management
Jasmin Guelden Sterzl Statistics Austria Vienna, 28 – 30 Mai 2018
PRESENTATION OF MONTENEGRO
Physical Energy Flow Accounts - Example Austria
PRODCOM Working Group JMO M November 2012
Waste NAMEAs NAMEA Task Force Meeting 2-3 December 2008
Presentation transcript:

National examples of data validation – Austria

Overview of the presentation Overview of the methods used for the compilation of waste statistics in Austria Examples of data validation Use of economic data in the validation Analysis of time series Quality assurance of data collected by a survey study Concept for a comprehensive process for data evaluation Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Overview of the methods used for the compilation of waste statistics in Austria Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Generation of hazardous waste Reference years 2004, 2006 and 2008 Use of administrative data sources (EDM) Evaluation of consigment notes and notifications of transboundary shipments of waste Remaining data gaps were filled by using statistical estimations or other administrative data sources Study: “Wastes Generated in Agriculture, Forestry and Fishing” Waste electrical and electronic equipment End-of life vehicles Hazardous waste generated by households Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Generation of non-hazardous waste Reference years 2004, 2006 and 2008 (1) Total quantities per waste category were based on data collected for the Austrian Federal Waste Management Plan. These data are based inter alia on: Administrative data bases Studies Data collected by provincial governments Data obtained from waste management associations (e.g. Association for the recycling of C&D waste) Data obtained from waste treatment facilities Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Generation of non-hazardous waste Reference years 2004, 2006 and 2008 (2) The breakdown of waste quantities to economic sectors was based on two survey studies Random sample of generators from the production sector The first survey was carried out in 2002 (reference year 2001) The second survey was carried out in 2008 (reference year 2006) Data on wastes generated in agriculture, forestry and fishing were based on the pilot study carried out in 2004 Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Data basis and methods as of reference year 2010 The main data source will be the annual waste balance sheets (according to Waste Balance Sheet Ordinance 2008): Waste collectors and waste processors have to report annual waste balance sheets electronically to the Provincial Governor not later than on 15 March of each year. Covering pick-ups of waste from other legal entities, deliveries of waste to other legal entities, in-house waste movements and storage level information Wastes received from initial waste producers shall be reported as total value per type of waste, broken down by the federal province of origin of the waste and by the economic sector of waste producer. Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Examples of data validation: Use of economic data in the validation Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Studies on NAMEA-waste interdependencies (parallel increase / decrease) between the quantities of waste generated and gross value added Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Studies on NAMEA-waste Effects of changes in waste legislation and policy Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Conclusions of NAMEA-studies Correlations of waste quantities seem to be stronger with gross value added than with the number of persons employed Some waste types/categories correlate with gross value added while others do not For example waste oils and combustion wastes often seem to correlate Occasionally occuring waste types e.g. contaminated soils or fire debris do not correlate with economic data The quantities of waste generated might develop in advance or with a delay in relation to the values of gross value added Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Analysis of time series Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Workflow Visualisation of time series of aggregated results Identification of peak values / especially low values Analysis of the reasons for peak values by means of checking the source data: Which specific waste types caused the peak values? Which companies were responsible for the peak values? Interpretation and evaluation Can the changes be explained by e.g. changes in legislation or changes in the industry/economy? Could the source data be inplausible?  further research & enquiries (Correction of data, if necessary) Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Example on Hazardous wastes Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Example: Distribution of a waste category to economic sectors Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Example: Distribution by waste categories in an economic sector Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Quality assurance of data collected by a survey study Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Supporting measures aiming at a better quality of replies in the survey study Webpage with instructions, inter alia: Classification of waste types Conversion of waste volumes (m3 or l) to waste quantities in tonnes) Hotline Enterprises could contact the project team and ask questions Telephone Support: The objective was to increase the return rate Enterprises were actively contacted Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Data base design aiming at better quality of the data In the questionnaire waste quantities per waste type and the total quantity of waste generated were asked. The data base compares the sum of quantities per waste type with the total quantity  inconsistent replies were labelled The persons entering data in the database could write notes On the whole questionnaire On individual entries on the level of waste types “Signal light” – green, yellow, red The persons entering data in the database could mark such questionnaires which should be once more controlled Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Quality control of the data entered in the database Questionnaires marked with „red“ were once more controlled and the notes and commets were taken into account Plausibility checks: Analysis of waste quantities per number of employees (data from the Business Register) Plausibility check of especially high quantities Comparison of companies within a specific economic sector Comparison of the replies of individual companies in 2008 and 2002  Inquiries by telephone in case of obviously incorrect data Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Concept for a comprehensive process for data evaluation Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Electronic Data Management (EDM) in the field of environment … is an integrated EGovernment IT-application in the environmental field replaces conventional – step by step - paper-based records and reports (including applications submitted to the authorities) through efficient electronic data management Objectives: Reduction of the administrative burden Prevention of data redundancy To provide easy-to-handle data queries To allow advanced evaluation of data Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Electronic Data-Management in the Environmental Field Emission-Trading Fluorinated Hydrocarbons eWater Emissions Register Radiation Sources European Pollutant & Transfer Register EDM Waste-Management eIncineration eWEEE eShipment eBatteries & Accumulators ePackaging eEoL-Vehicles eWaybill eWaste-Balance eLandfill eLicence eCertificate eCompost Central register of master data eRAS EDM-Environment Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

eRAS The core of the IT system is the central Electronic Register of Personal and Industrial Plant Data (eRAS). All the applications draw on that register and therefore share the same information base. Any changes made to that data are available immediately to all the applications simultaneously

Procedures of data-evaluation Hard-coded queries, implemented within the EDM- application following strictly the process model, which meet well-defined requirements of the enforcement authority and other institutions/persons entitled to make queries Data warehouse queries: Data are extracted from EDM, transformed (summarized into aggregates) and loaded into a data repository. Data from the data repository are read and processed for reports Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Why different procedures of data-evaluation? The hard-coded queries are in general quite simple and straight-forward so as not to slow the performance of the operational system. Advantage: Up-to date information on original data In the data warehouse, data is stored in a structure designed to facilitate reporting. The data warehouse is updated from data in the operational system on a regular basis. Reporting does not impact the operational system's performance, thus complex data-evaluation procedures can be made. Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012

Milla Neubauer milla.neubauer@umweltbundesamt.at Contact & Information Milla Neubauer milla.neubauer@umweltbundesamt.at Umweltbundesamt www.umweltbundesamt.at ESTP: Waste Statistics Wien ■ 24.-25. April 2012