ANNEX III
FORMAT FOR THE QUALITY CHECK REPORT
I. General Information
1.1.
Member State:
1.2.
Organisation submitting the data and the description:
1.3.
Contact name:
1.4.
Contact email address:
1.5.
Contact phone number:
1.6.
Reference year:
1.7.
Delivery date/version:
1.8.
Link to data publication by the Member State (if any):
II. Description of the institutions involved in the data collection
Name of institution
Description of key responsibilities
Add rows as appropriate.
III. Description of methods used
3.1. Single-use bottles placed on the market (Annex II, Table 1)
3.1.1. Description of the methodology for surveys and composition analysis
Where the weight of single-use bottles placed on the market is determined based on the weight of the waste generated from such products, a description of the methodology used for the sampling and the waste composition analysis referred to in Article 4.
Methodology used
Variations taken into account
Waste single-use bottles collected as mixed municipal waste
Waste single-use bottles disposed of as litter
3.1.2. Description of any significant inconsistencies between the weight of single-use bottles placed on the market and the weight of packaging waste generated or any other related issues
Where appropriate, a description of corrective measures planned or taken.
Add rows as appropriate
3.2. Information on separately collected waste single-use bottles (Annex II, Table 2)
3.2.1. Description of the methods and sources for determining the weight of separately collected waste single-use bottles
Explain the practices that are taken into account for calculating the share of separately collected waste single-use bottles, and the methods for determining that waste single-use bottles collected together with other waste are of comparable quality to waste single-use bottles collected separately from any other waste. Include the documentation of the quality assurance systems and of the third party verification that are set up by the waste operators to verify that the conditions set out in Article 2(4)(b), points (i) and (ii), are fulfilled.
Add rows as appropriate
IV. Data verification and control system
4.1 Verification of data on separately collected waste single-use bottles
Verification and control procedures
Applied for data on
Additional comments, if relevant
Single-use bottles placed on the market
(yes/no)
Waste single-use bottles (yes/no)
Waste single-use bottles collected separately from other waste as referred to in Article 2(4), point (a)
(yes/no)
Waste single-use bottles collected together with other waste as referred to in Article 2(4), point (b)
(yes/no)
Adjustment to account for other materials captured by separate collection, that are not part of the single-use bottles ( 1 ) (yes/no)
Data completeness checks
Cross-checks
Time-series checks
Audit checks
Other (specify)
4.2 Description of main factors affecting the accuracy of the data reported on waste single-use bottles, single-use bottles placed on the market and/or waste single-use bottles separately collected
Potential factors affecting reliability of data
Factors
Description of how the accuracy of data is affected and which methodologies have been applied to minimise the impact of inaccurate data
Single-use bottles placed on the market
(yes/no)
Waste single-use bottles
(yes/no)
Waste single-use bottles separately collected
(yes/no)
Sampling errors ( 2 ) (e.g. coefficients of variation)
Coverage errors ( 3 ) (e.g. de-minimis rules, regional coverage)
Measurement errors ( 4 ) (e.g. measurement unit, material that is not part of an empty single-use bottle including its caps and lids)
Data collection test instruments ( 5 ) e.g. testing of questionnaires)
Processing errors ( 6 ) (e.g. identification of errors, correction of errors)
Non-response errors ( 7 )
Model assumption errors ( 8 )
Other (please specify)
4.3 Explanation of the scope and validity of surveys to collect data on waste single-use bottles, single-use bottles placed on the market and or waste single-use bottles separately collected
Add rows as appropriate
4.4 Differences in the data reported for the previous reference years
Significant methodological changes in the calculation method used for the current reference year in relation to the calculation method used for previous reference years, if any (in particular retrospective revisions, their nature and whether a break in the series has to be flagged for a certain year).
Add rows as appropriate
4.5 Explanation for the difference in tonnage
Where the reported data shows a greater than 10 % variation in relation to the data submitted for the previous reference year.
Reasons for the difference or the underlying cause for the differences in the weight of waste single-use bottles, single-use bottles placed on the market and/or waste single-use bottles separately collected.
Waste single-use bottles, single-use bottles placed on the market and/or waste single-use bottles separately collected
Variation (%)
Main reason for variation
Add rows as appropriate
V. Confidentiality
Justification for the request to withhold the publication of certain data in this report, together with a list of the specific parts requested to be withheld.
VI. Main national websites, reference documents and publications
Name and url of the main websites, reference documents and publications related to this data collection.
Add rows as appropriate
( 1 ) Labels, adhesives, residues of beverages that the bottles contained and any other material that is not part of the single-use bottle or of its caps and lids.
( 2 ) Describe the estimated coefficients of variation and the methodologies applied for variance estimation.
( 3 ) Describe the type and size of coverage errors.
( 4 ) Describe the instruments to reduce potential risks and avoid errors.
( 5 ) Describe the instruments and methodologies applied to secure quality and relevant data collection instruments.
( 6 ) Describe the processing steps between data collection and production of statistics and list any processing errors identified and their extent.
( 7 ) Describe the unit and item non-response rates for the main variables and the imputation methods (if any).
( 8 ) Describe the type and size of model assumption errors.
