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Methods of data collection

15. Methods of data collection. Dr. Brigitte Karigl, Qatar 19 June 2013. Types of methods used to collect data on waste generation and treatment. Statistical surveys Administrative or other sources Statistical estimation procedures A combination of the above mentioned methods.

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Methods of data collection

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  1. 15 Methods of data collection Dr. Brigitte Karigl, Qatar 19 June 2013

  2. Typesofmethodsusedtocollectdata on wastegenerationandtreatment • Statistical surveys • Administrative orothersources • Statistical estimationprocedures • A combinationoftheabovementionedmethods

  3. Differences between data collection on waste treatment and waste generation • Number of operators of treatment facilities is much lower than that of waste generators • Treatment facilities are subject to a stricter supervision than generators  more administrative data • Treatment facilities are usually unique with regard to waste types treated, technology, capacity… • extrapolationfrom one facility to another is difficult

  4. Statistical surveys • Comprehensivesurveys (Census) • A survey that collects data from the entire population of interest • E.g. a census on waste collectors and treaters in order to collect data on waste treatment or on waste generation • Sample surveys • Probabilitysamples (simple random, systemicrandomorstrata) areused in ordertocalculateestimates • E.g. a sample survey on wastegenerationcovering all industrialandserviceactivities

  5. Howto carry out a surveystudysuccesfully? • Questionnaire design • Contents andlayout • Introductionsandexplanatorynotes • Contactdataandfutherinformation • Pretestingofthequestionnare • Accompanyingmeasures • Telephonehotlineandsupport • Supportingwebpage • Data base design aiming at better quality of the data • Automatic comparisons and plausibility checks • Labelling of inconsistent/implausible replies –> to be checked later

  6. Administrative sources • Data setsfrompublicinstitutions (Environment agenciesandothersupervisingauthorities) orassociationsandorganisations in thepublicsector (e.g. producerresponsibilityorganisations) • E.g. consignmentnotesandnotificationsofimports/exports • Annual wastebalancesofauthorizedwastecollectorsandtreaters • Administrative sourcesmaybeused • As thecoredataset • Forfilling in datacaps • Forplausibilitychecks

  7. Pros andconsof administrative sources • Advantages: • Burden on respondentsisminimized • Good coverage of units under administration • Data is usually validated for administrative purposes • Continuity and high frequency of updating • Disadvantages • Differences in definitions, classifications and statistical units are possible • Restrictions of access to the data • Coverage might not be suitable for statistical purposes

  8. Examplefrom Austria: Annual wastebalances • According to the Waste Balance Sheet Ordinance 2008, Waste collectors and waste processors have to report annual waste balance sheets electronically to the ProvincialGovernornot 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.

  9. Electronic Data Management in Austria • Thereareseveralobligationsofdocumentation, record-keeping and reporting imposed on waste holders by the Austrian Waste Management Act of 2002 anditsordinances • The Electronic Data Management Environment (EDM) is an integrated e-Government system consisting of Internet applications and databases to support complex processes of documentation, notification, reporting and data analysis related to environmental protection .

  10. EDM Portal https://secure.umweltbundesamt.at/edm_portal/home.do

  11. eWEEE eIncineration Emission-Trading FluorinatedHydrocarbons ePackaging eShipment eLandfill European Pollutant & Transfer Register eEoL-Vehicles eWaste-Balance eWaterEmissions Register eWaybill eLicence Radiation Sources eCompost eCertificate EDM Waste-Management Central register of master data eRAS eBatteries & Accumulators EDM-Environment

  12. Key benefitsofthe EDM-system • Replacement of conventional paper-based records and reports through efficient electronic data management • Quick andefficientdatatransmission • Reductionoferrorsources • Avoidanceofduplicateinformationcollection • Uniform structuresofdatacollectionsystems • All EDM-applicationsusethe same masterdata (personal and plan data)  compatibilityofdata • Common referencetablesandstandardclassificationsfor all applications  compatibilityofdata • Comprehensivedataanalysesbased on a datawarehousesolution

  13. Statistical estimationmethods • Estimationofwastegenerationbywastefactors • E.g. wastefactors, whichestablishtherelationbetweentheproductionof a certainproductandthequantityofwastegeneratedduringtheprodution • can be applied successfully for specific basic products, where stable and strong causal relations exist • Indirectdeterminationofwastegeneration via wastecollectionandtreatment – estimationtoolstoassignto a certain type ofwastethesources • Forwastetreatment, estimationmethodsshouldprimarilybeusedtoclosedatagaps(exception: process-specifickeyfactorsfor ELV and WEEE)

  14. Examplefrom Austria: Estimationofwastesfromagriculture • Examplesforestimationmethods: • Estimationofwinemarc/pomace (t) based on theharvestedwinequantities (hl), averagequantityofgrapes (t) andshareofmarc in grapes (%) • Estimationofplasticwastefromfertilizerbagsbased on thequnatityoffertilizersold (t), shareoffertilizersold in bags (%), quantityoffertilizerperbag (kg) andnetweightof a bag (g)

  15. Combinationof different sourcesandmethods • Data from different sourcesareoftencombinedtoavoid multiple oroverlappingdatacollection • Problems relatedtothecombinationof different sources/ methods: • Riskof double countingorundercoverage • Incompatibilityofthedatabecauseof different concepts, definitionsandclassifications • Differences in levelofdetailand in levelofquantity

  16. Further information • Manual on wastestatistics: http://epp.eurostat.ec.europa.eu/portal/page/portal/product_details/publication?p_product_code=KS-RA-13-015

  17. Contact & Information Dr. Brigitte Karigl brigitte.karigl@umweltbundesamt.at Umweltbundesamtwww.umweltbundesamt.at • Waste Statistics Training WorkshopQatar Statistics Authority ■ 18-19 June 2013

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