Landings of fishery products (fish

Landings of fishery products (fish_ld)

National Reference Metadata in ESS Standard for Quality Reports Structure (ESQRS)

Compiling agency: Directorate of Fisheries

Eurostat metadata

Reference metadata

1. Contact
2. Statistical presentation
3. Statistical processing
4. Quality management
5. Relevance
6. Accuracy and reliability
7. Timeliness and punctuality
8. Coherence and comparability
9. Accessibility and clarity
10. Cost and Burden
11. Confidentiality
12. Comment
Related Metadata
Annexes (including footnotes)

For any question on data and metadata, please contact: Eurostat user support

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1. Contact

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1.1. Contact organisation

Directorate of Fisheries

1.2. Contact organisation unit

Section of Statistics

1.5. Contact mail address

Fiskeridirektoratet, Pb. 185 Sentrum, 5804 Bergen, Norway

2. Statistical presentation

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2.1. Data description

Main characteristics

2.1.1 Describe shortly the main characteristics of the statistics

The Landings Regulation (Reg (EC) 1921/2006) requires Member States and EEA EFTA States to submit statistical data on an annual basis and within six months of the end of the reference calendar year. They are required to provide data on total quantities and unit values of the fishery products landed in their territory by EU and EEA EFTA vessels.

Reference period

2.1.2 Reference period of the data collection

2022

National legislation

2.1.3 Is there a national legislation covering these statistics?	Yes
If Yes, please answer all the following questions.
2.1.4 Name of the national legislation	Lov om forvaltning av viltlevande marine ressursar (havressurslova) (The Norwegian Ocean Resource Act)
2.1.5 Link to the national legislation	https://lovdata.no/dokument/NL/lov/2008-06-06-37
2.1.6 Responsible organisation for the national legislation	Ministry of Trade, Industry and Fisheries (Nærings- og fiskeridepartementet)
2.1.7 Year of entry into force of the national legislation	2009
2.1.8 Please indicate which variables required under EU regulation are not covered by national legislation, if any.	None
2.1.9 Please indicate which national definitions differ from those in the EU regulation, if any.	None
2.1.10 Is there a legal obligation for respondents to reply?	Yes

Additional comments on data description

2.2. Classification system

Data are broken down by:
1) the species of aquatic organisms identified using the 3-alpha codes as defined by the FAO (ASFIS List of Species for Fishery Statistics Purposes);
2) the flag state of the fishing vessels carrying out landings (as per the codes set out in Annex II to the Landings Regulation);
3) the ‘presentation’ of the products i.e. processed state of the fisheries product or part thereof e.g. fresh fillets, frozen headed and gutted, smoked, etc. (See Annex III of the Regulation);
4) the intended use of the products i.e. how landed fish are intended to be used e.g. for human consumption, industrial uses, bait etc. (See Annex IV to the Regulation).

2.3. Coverage - sector

Fishery products landed on Member States territory and EEA EFTA States territory by EU and EEA EFTA vessels

2.4. Statistical concepts and definitions

Total quantities and corresponding value of all fishery products landed in the reporting country are to be reported, regardless of the nationality of the vessel making the landings. Landings by vessels of the reporting country in foreign ports are excluded. Details on products presentation and intended use are required, as well as vessel nationality.
'Community fishing vessels' means fishing vessels flying the flag of an EU Member State and registered in the Community.
'EFTA fishing vessels' means fishing vessels flying the flag of, or registered in, an EEA EFTA country.
'Unit value' means the value at first sale of the fishery products landed (in national currency) divided by the quantity landed (in tonnes), or for fishery products not immediately sold, the average price per tonne in national currency, estimated using an appropriate method.
Landed quantities are expressed in Tonnes Product Weight.
Unit values are reported as unit price in national currency per tonne.

2.5. Statistical unit

The basic statistical units are the individual fishing vessels

2.6. Statistical population

All registered vessels having a fishing activity and landing fishery products in the EU and in the EEA EFTA States.

2.7. Reference area

2.7.1 Geographical area covered	The entire territory of the country and landings from Norwegian vessels abroad.
2.7.2 Which special Member State territories are included?	None

2.8. Coverage - Time

1977-2022

2.9. Base period

Not applicable.

3. Statistical processing

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3.1. Source data

Overall summary

3.1.1 Total number of different data sources used	1
The breakdown is as follows:
3.1.2 Total number of sources of the type "Census"	0
3.1.3 Total number of sources of the type "Sample survey"	0
3.1.4 Total number of sources of the type "Administrative source"	1
3.1.5 Total number of sources of the type "Experts"	0
3.1.6 Total number of sources of the type "Other sources"	0

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 3.1 of the annexed Excel file
3.1.7 Name/Title
3.1.8 Name of Organisation responsible
3.1.9 Main scope
3.1.10 Marine fishing areas covered
3.1.11 List used to build the frame
3.1.12 Any possible threshold values
3.1.13 Population size
3.1.14 Additional comments

Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 3.1 of the annexed Excel file
3.1.15 Name/Title
3.1.16 Name of Organisation responsible
3.1.17 Main scope
3.1.18 Marine fishing areas covered
3.1.19 List used to build the frame
3.1.20 Any possible threshold values
3.1.21 Population size
3.1.22 Sample size
3.1.23 Sampling basis
3.1.24 If Other, please specify
3.1.25 Type of sample design
3.1.26 If Other, please specify
3.1.27 If Stratified, number of strata
3.1.28 If Stratified, stratification criteria
3.1.29 If Other, please specify
3.1.30 Additional comments

Administrative source

These questions only apply to administrative sources. If there is more than one administrative source, please describe the main source below and the additional ones in table 3.1 of the annexed Excel file
3.1.31 Name/Title	LANDINGS AND SALES NOTE SYSTEM
3.1.32 Name of Organisation responsible	The Directorate of Fisheries
3.1.33 Contact information (email and phone)	post@fiskeridir.no +4755238000
3.1.34 Main administrative scope	The main area of use for the data is government management of fisheries resources and control of fishing vessel. The sale organizations also have the responsibility to control individual vessels’ quotas and withdraw the value of quantities exceeding the quotas.
3.1.35 Geospatial Coverage	National
3.1.36 Type of administrative documents collected	Sales notes
3.1.37 If Other, please specify	There are also landingsnotes, filled out by the fishermen before sale has been taken place.
3.1.38 Are these documents in accordance with the rules set in the current EU Regulations (EC) 1224/2009 and (EU) 404/2011 for each of your fleet segments?	No
3.1.39 If partially, which rules are not applied?
3.1.40 Are landing data for vessels under 10 metres long collected?	Yes
3.1.41 Is the Electronic Reporting System (ERS) used for vessels above 12 meters as foreseen in Regulations (EC) 1224/2009 and (EU) 404/2011?	No
3.1.42 Is the Vessel Monitoring System (VMS) used for vessels above 12 meters as foreseen in Regulations (EC) 1224/2009 and (EU) 404/2011?	No
3.1.43 Marine fishing areas covered	Atlantic, Northwest Atlantic, Northeast Pacific, Antarctic
3.1.44 Update frequency	Continuous
3.1.45 Legal basis	Lov om førstehandsomsetning av viltlevande marine ressursar (fiskesalslagslova)
3.1.46 Are you able to access directly to the micro data?	Yes
3.1.47 Are you able to check the plausibility of the data, namely by contacting directly the units?	Yes
3.1.48 How would you assess the proximity of the definitions and concepts (including statistical units) used in the administrative source with those required in the EU regulation?	Very good
3.1.49 Please list the main differences between the administrative source and the statistical definitions and concepts	In data from the administrative source weight is given in prroduct weight. The weight of the fish is then converted to live weight based on an official factor. This factor is based on the average yield based on the condition of the fish during the year. For certain types of fish, this conversion factor will be too low in certain parts of the year where ther is a lot of fishig. The total landing live weight of these species will therefore be a little low.
3.1.50 Is a different threshold used in the administrative source and statistical data?	No
3.1.51 If Yes, please specify
3.1.52 Additional comments

Experts

If there is more than one Expert source, please describe the main one below and the additional ones in table 3.1 of the annexed Excel file
3.1.53 Name/Title
3.1.54 Primary purpose
3.1.55 Legal basis
3.1.56 Update frequency
3.1.57 Expert data supplier
3.1.58 If Other, please specify
3.1.59 How would you assess the quality of those data?
3.1.60 Additional comments

Other sources

If there is more than one other statistical activity, please describe the main one below and the additional ones in table 3.1 of the annexed Excel file
3.1.61 Name/Title
3.1.62 Name of Organisation
3.1.63 Primary purpose
3.1.64 Data type
3.1.65 If Other, please specify
3.1.66 How would you assess the quality of those data?
3.1.67 Additional comments

3.2. Frequency of data collection

Continuous

3.3. Data collection

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 3.3 of the annexed Excel file
3.3.1 Name/Title
3.3.2 Methods of data collection
3.3.3 If Other, please specify
3.3.4 If face-to-face or telephone interview, which method is used?
3.3.5 Data entry method, if paper questionnaires?
3.3.6 Please annex the questionnaire used (if very long: please provide the hyperlink)
3.3.7 Additional comments

Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 3.3 of the annexed Excel file
3.3.8 Name/Title
3.3.9 Methods of data collection
3.3.10 If Other, please specify
3.3.11 If face-to-face or telephone interview, which method is used?
3.3.12 Data entry method, if paper questionnaires?
3.3.13 Please annex the questionnaire used (if very long: please provide the hyperlink)
3.3.14 Additional comments

Administrative source

These questions only apply to administrative sources. If there is more than one administrative source, please describe the main source below and the additional ones in table 3.3 of the annexed Excel file
3.3.15 Name/Title	LANDINGS AND SALES NOTE SYSTEM
3.3.16 Extraction date	Continuous
3.3.17 How easy is it to get access to the data?	Direct constant access
3.3.18 Data transfer method	Electronically
3.3.19 Additional comments	Commentary to point 3,3,17 Only those who produce the official statistics have direct access to the data.

Experts

If there is more than one other statistical activity, please describe the main one below and the additional ones in table 3.3 of the annexed Excel file
3.3.20 Name/Title
3.3.21 Methods of data collection
3.3.22 Additional comments

3.4. Data validation

3.4.1 Which kind of data validation measures are in place?	Manual Automatic
3.4.2 What do they target?	Completeness Outliers Aggregates Consistency
3.4.3 If Other, please specify

3.5. Data compilation

3.5.1 Describe the data compilation process	The sales note are, with very few exceptions, sent electronically to the predetermined sales organisation in the area. The sales note then goes immediately from the sales organisation to The Directorate of Fisheries where it goes through different kinds of tests. At this stage, it is first tested that the format is correct and then different kind of data is tested for its validity. If the sales note fail to pass these tests, it goes back to the sales organization for correction without entering the database. There are also many tests to check the data quality when data has entered our system. This has earlier been done annually, but due to the continuously data flow since 2013, these consistency checks of the data will be on an ongoing basis. Figures for quantity landed are given in product weight on the sales notes. This quantity is converted into live weight by use of conversion factors in the Directorate of Fisheries. There are conversion factors for all products. The sales organisations are obliged to report any changes or new products introduced to the Directorate so that new conversion factors can be established. The sales note includes information, among other, on vessel, catch areas and gear, and the consistency is checked against logbook information.
3.5.2 Which conversion factors were used from tonnes product weight (TPW) to tonnes live weight (TLW)?	National conversion factors
3.5.3 Additional comments

3.6. Adjustment

In the data for 2022 some adjustments have been made to some variables. Editing of data happens in cases where corrections have not come from the sales organizations before producing official statistics. Values have also been imputed in some cases where information of price is missing because catch has been landed and still not sold.

4. Quality management

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4.1. Quality assurance

4.1.1 Is there a quality management system used in the organisation?	Yes
4.1.2 If yes, how is it implemented?	In the Directorate of Fisheries we work well with quality assurance at a detailed level, and we are now in a phase where we use various tools to ensure that we have a more comprehensive quality system. We have also formulated our own principles for our production and dissemination of official statistics. The Directorate of Fisheries' work with official statistics is a part of the Norwegian statistical system. Our quality system must therefore be seen in connection with this. Since 2021, Statistics Norway has carried out annual quality evaluations with all the Norwegian producers of official statistics. For the first two years, the evaluation was at an overall level, but for 2023 the evaluation was carried out at statistical level. In 2023, Statistics Norway has also carried out a quality review (peer review) of the Norwegian Directorate of Fisheries' catch statistics. Both the quality evaluations and quality reviews result in improvement actions and deadlines. The Directorate of Fisheries' catch statistics and aquaculture statistics are also included as European official statistics. In this connection, our statistical production has been evaluated as part of the Norwegian statistical system when Eurostat carries out the Peer Review. The Directorate of Fisheries has been evaluated in all three evaluations that have been carried out. In connection with the evaluation in 2021/2022, improvement actions were also formulated for statistical producers other than the national agencies.
4.1.3 Has a peer review been carried out?	Yes
4.1.4 If Yes, which were the main conclusions?	The catch statistics at the Directorate of Fisheries meet the quality requirements in the Guidelines for European Statistics in a good way, but there is room for improvement in some of the quality requirements. The main conclusions: Responsibility for the official statistics in the Directorate of Fisheries is clearly placed in the statistics section. The statistics section has a high awareness of quality related to the production of official statistics, and focuses on continuous improvement of the production of statistics. This has contributed to significant development and improvement of the statistics over time, both in terms of timeliness, accuracy and availability. The quality work can be made more systematic by establishing a fixed evaluation meeting after publication, and by establishing a set of quality indicators as input to such a meeting. The statistics are very up-to-date, both on preliminary and final figures. A major improvement in timeliness was made in 2022, without affecting accuracy. The statistical accuracy is mainly assessed as good and the statistics are considered very reliable. Systematic work towards the sales organisations, who report the basic data for the statistics, has over time contributed to good quality input data. A challenge for the official statistics is that the conversion factor used to calculate the quantity of some of the fish species is based on considerations other than statistical ones, and this means that the statistics are not as accurate as they should be for these fish species.
4.1.5 What quality improvements are foreseen?	Improve data validation Further automation Further training Other
4.1.6 If Other, please specify	Statistics Norway’s evaluation and peer review of the fisheries statistics has resulted in several recommendations for which we have formulated improvement actions and deadlines. See 4.1.2 and 4.1.4.
4.1.7 Additional comments

Annexes:
Summary report on the national statistical system compliance with the European statistics code of practice

4.2. Quality management - assessment

Development since the last quality report

4.2.1 Overall quality	Improvement
4.2.2 Relevance	Improvement
4.2.3 Accuracy and reliability	Stable
4.2.4 Timeliness and punctuality	Stable
4.2.5 Comparability	Stable
4.2.6 Coherence	Stable
4.2.7 Additional comments

5. Relevance

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5.1. Relevance - User Needs

5.1.1 If certain user needs are not met, please specify which and why
5.1.2 Please specify any plans to satisfy needs more completely in the future
5.1.3 Additional comments

5.2. Relevance - User Satisfaction

5.2.1 Has a user satisfaction survey been conducted?	No
If Yes, please answer all the following questions
5.2.2 Year of the user satisfaction survey
5.2.3 How satisfied were the users?
5.2.4 Additional comments	In connection with the review of out quality system by our national NSI, vaious user panels have been put together and interviewed about their user needs and satisfaction with our Web site.

5.3. Completeness

5.3.1 Data completeness - rate	The sales note system covers all landings by Norwegian and foreign fishermen in Norway and all landings by Norwegian vessels abroad. It covers all species the sales organisation has the sole right to sell. From 2010 it covers all marine species caught in marine waters, except Anadromous Salmonidae. In addition, it covers European conger (Conger conger) when caught in fresh water. Since 2011, collecting data from harvesting of algae goes through the same system. Main species targeted (in weight) are (in 2022) Atlantic herring (Clupea harengus),Atlantic cod (Gadus morhua), Atlantic Mackerel (Scomber scombrus), Antarctic krill (Euphausia superba) and Pollock (Pollachius virens). The data covers all marine areas where fishing vessels fish under the Norwegian flag.
5.3.2 If not complete, which characteristics are missing?	Not relevant
5.3.3 Additional comments

6. Accuracy and reliability

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6.1. Accuracy - overall

6.1.1 How good is the accuracy?	Very good
6.1.2 What are the main factors lowering the accuracy?	Measurement error Coverage error
6.1.3 If Other, please specify
6.1.4 Additional comments	See point 3.1.49 about conversion factor

6.2. Sampling error

Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.2 of the annexed Excel file
6.2.1 Name/Title
6.2.2 Methods used to assess the sampling error
6.2.3 If Other, please specify
6.2.4 Methods used to derive the extrapolation factor
6.2.5 If Other, please specify
6.2.6 If coefficients of variation are calculated, please describe the calculation methods and formulas
6.2.7 Sampling error - indicators	Please provide the coefficients of variation in the worksheet CV of the annexed Excel file
6.2.8 Additional comments

6.3. Non-sampling error

See sections below.

6.3.1. Coverage error

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file
6.3.1.1 Name/Title
Over-coverage
6.3.1.2 Does the sample frame include wrongly classified units that are out of scope?
6.3.1.3 What methods are used to detect the out-of scope units?
6.3.1.4 Does the sample frame include units that do not exist in practice?
6.3.1.5 Over-coverage - rate
6.3.1.6 Impact on the data quality
Under-coverage
6.3.1.7 Does the sample frame include all units falling within the scope of this survey?
6.3.1.8 If Not, which units are not included?
6.3.1.9 How large do you estimate the proportion of those units? (%)
6.3.1.10 Impact on the data quality
Misclassification
6.3.1.11 Impact on the data quality
Common units
6.3.1.12 Common units - proportion	Not applicable.
6.3.1.13 Additional comments

Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file
6.3.1.14 Name/Title
Over-coverage
6.3.1.15 Does the sample frame include wrongly classified units that are out of scope?
6.3.1.16 What methods are used to detect the out-of scope units?
6.3.1.17 Does the sample frame include units that do not exist in practice?
6.3.1.18 Over-coverage - rate
6.3.1.19 Impact on the data quality
Under-coverage
6.3.1.20 Does the sample frame include all units falling within the scope of this survey?
6.3.1.21 If Not, which units are not included?
6.3.1.22 How large do you estimate the proportion of those units? (%)
6.3.1.23 Impact on the data quality
Misclassification
6.3.1.24 Impact on the data quality
Common units
6.3.1.25 Common units - proportion	Not applicable.
6.3.1.26 Additional comments

Administrative data

These questions only apply to administrative sources. If there is more than one administrative source, please describe the main source below and the additional ones in table 6.3 of the annexed Excel file
6.3.1.27 Name/Title of the administrative source	LANDINGS AND SALES NOTE SYSTEM
Over-coverage
6.3.1.28 Does the administrative source include wrongly classified units that are out of scope?	No
6.3.1.29 What methods are used to detect the out-of scope units?	The sales note system is based on Norwegian standard codes for all the information the authorities and the sales organizations need. The coding system is the same for all parties involved. Figures for quantity landed are given in product weight on the sales notes Before importing data from the different sales organizations into our database, it goes through different steps of control. The basis for the sales note system is Norwegian standard codes for all the information the authorities and the sales organizations need. The coding system is the same for all parties involved. Before updating the use of correct standardised codes in incoming data are checked. Data has to be reported with a valid code according to our standard for e.g. species of fish, conservation, different kind of products, landing community and so on. There also has to be consistency between different kinds of dates on the sales note. E.g., catch date cannot be later then landing date. There are also a test against a vessels register checking that each vessels registration mark is valid at the last day of catch. The Directorate of Fisheries controls annually that all sales notes from the different sales organizations is in our database. It is crosschecked that quantity, value and species are the same in both databases and other important data for fisheries management and statistics are consistent across the databases. Deviations are discovered, scrutinized and corrected by actions of all parties involved. There are also many tests to check the data quality when data has entered our system. This has earlier been done annually, but due to the continuously data flow in 2013, these consistency checks of the data will be on an ongoing basis. The Directorate of Fisheries has agreements with Sweden, Denmark, Great Britain, Greenland, Russia, Germany, Ireland, Poland, The Faroe Islands, Spain, Portugal and The Netherlands on the exchange of landings data. In this way, there is a control of data received for Norwegian landings in foreign ports.
6.3.1.30 Does the administrative source include units that do not exist in practice?	No
6.3.1.31 Over-coverage - rate	None
6.3.1.32 Impact on the data quality	None
Under-coverage
6.3.1.33 Does the administrative source include all units falling within the scope of this survey?	Yes
6.3.1.34 If Not, which units are not included?
6.3.1.35 How large do you estimate the proportion of those units? (%)
6.3.1.36 Impact on the data quality
Misclassification
6.3.1.37 Impact on the data quality	Low
6.3.1.38 Additional comments

6.3.2. Measurement error

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file
6.3.2.1 Name/Title
6.3.2.2 Is the questionnaire based on usual concepts for respondents?
6.3.2.3 Number of censuses already performed with the current questionnaire?
6.3.2.4 Preparatory testing of the questionnaire?
6.3.2.5 Number of units participating in the tests?
6.3.2.6 Explanatory notes/handbook for surveyors/respondents?
6.3.2.7 On-line FAQ or Hot-line support for surveyors/respondents?
6.3.2.8 Are there pre-filled questions?
6.3.2.9 Percentage of pre-filled questions out of total number of questions
6.3.2.10 Other actions taken for reducing the measurement error?
6.3.2.11 Additional comments

Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file
6.3.2.12 Name/Title
6.3.2.13 Is the questionnaire based on usual concepts for respondents?
6.3.2.14 Number of surveys already performed with the current questionnaire?
6.3.2.15 Preparatory testing of the questionnaire?
6.3.2.16 Number of units participating in the tests?
6.3.2.17 Explanatory notes/handbook for surveyors/respondents?
6.3.2.18 On-line FAQ or Hot-line support for surveyors/respondents?
6.3.2.19 Are there pre-filled questions?
6.3.2.20 Percentage of pre-filled questions out of total number of questions
6.3.2.21 Other actions taken for reducing the measurement error?
6.3.2.22 Additional comments

6.3.3. Non response error

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file
6.3.3.1 Name/Title of the survey
6.3.3.2 Unit non-response - rate
6.3.3.3 How do you evaluate the recorded unit non-response rate in the overall context?
6.3.3.4 Measures taken for minimising the unit non-response
6.3.3.5 If Other, please specify
6.3.3.6 Item non-response rate
6.3.3.7 Item non-response rate - Minimum
6.3.3.8 Item non-response rate - Maximum
6.3.3.9 Which items had a high item non-response rate?
6.3.3.10 Additional comments

Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file
6.3.3.11 Name/Title of the survey
6.3.3.12 Unit non-response - rate
6.3.3.13 How do you evaluate the recorded unit non-response rate in the overall context?
6.3.3.14 Measures taken for minimising the unit non-response
6.3.3.15 If Other, please specify
6.3.3.16 Item non-response rate
6.3.3.17 Item non-response rate - Minimum
6.3.3.18 Item non-response rate - Maximum
6.3.3.19 Which items had a high item non-response rate?
6.3.3.20 Additional comments

6.3.4. Processing error

Census

These questions only apply to censuses. If there is more than one census, please describe the main census below and the additional ones in table 6.3 of the annexed Excel file
6.3.4.1 Name/Title
6.3.4.2 Imputation - rate
6.3.4.3 Imputation - basis
6.3.4.4 If Other, please specify
6.3.4.5 Additional comments

Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file
6.3.4.6 Name/Title
6.3.4.7 Imputation - rate
6.3.4.8 Imputation - basis
6.3.4.9 If Other, please specify
6.3.4.10 How do you evaluate the impact of imputation on Coefficients of Variation?
6.3.4.11 Additionnal comments

6.3.5. Model assumption error

Not applicable.

6.4. Seasonal adjustment

Not applicable.

6.5. Data revision - policy

There are two publications of official statistics; one preliminary in January and one final in June.

6.6. Data revision - practice

6.6.1 Data revision - average size	The main differences between preliminary and final figures are as follows: - Some of the catch is landed forezen without being sold during the year. Quantity for these catches is included in preliminary figures, whil the catch value is included in final figures - Some vessels are out fishing for longer periods of time and catch for some of these vessels is not included in the preliminary figures because catch is not lande before those figures are published. This catch is in the final figures. - The ssize of the difference between preliminary and final figures is nevertheless extremely small an constitutes only a small proportion of hte total quantity landed per year.
6.6.2 Were data revisions due to conceptual changes (e.g. new definitions) carried out since the last quality report?	No
6.6.3 What was the main reason for the revisions?	More updated figures and better quality of data.
6.6.4 How do you evaluate the impact of the revisions?	Important
6.6.5 Additional comments

7. Timeliness and punctuality

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7.1. Timeliness

7.1.1 When were the first results for the reference period published?	1 week
7.1.2 When were the final results for the reference period published?	25 weeks
7.1.3 Reasons for possible long production times?

7.2. Punctuality

7.2.1 Were data released nationally according to a pre-announced schedule (Release Calendar)?	Yes
7.2.2 If Yes, were data released on the target date?	Yes
7.2.3 If No, reasons for delays?
7.2.4 Number of days between the national release date of data and the target date

7.2.4. Punctuality - delivery and publication

8. Coherence and comparability

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8.1. Comparability - geographical

To be assessed by Eurostat

8.1.1. Asymmetry for mirror flow statistics - coefficient

Not applicable.

8.2. Comparability - over time

8.2.1 Length of comparable time series	1977-2022
8.2.2 Have there been major breaks in the time series?	No
8.2.3 If Yes, please specify the year of break and the reason
8.2.4 Additional comments

8.3. Coherence - cross domain

8.3.1 With which other national data sources have the data been compared?	Catch data
8.3.2 If Other, please specify
8.3.3 Describe briefly the results of comparisons	Catch data is compared with landings- and salesnotes to improve the quality of certain variables.
8.3.4 If no comparisons have been made, explain why
8.3.5 Additional comments

8.4. Coherence - sub annual and annual statistics

Not applicable.

8.5. Coherence - National Accounts

Figures from landings- and salesnote register are delivered to the National accounts, so figures has the same basis.

8.6. Coherence - internal

The data set is internal consistent

9. Accessibility and clarity

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9.1. Dissemination format - News release

9.1.1 Do you publish a news release?	Yes
9.1.2 If Yes, please provide a link	https://www.fiskeridir.no/Yrkesfiske/Nyheter/2023/nytt-toppar-for-norsk-fiskerinaering

9.2. Dissemination format - Publications

9.2.1 Do you produce a paper publication?	No
9.2.2 If Yes, is there an English version?
9.2.3 Do you produce an electronic publication?	No
9.2.4 If Yes, is there an English version?
9.2.5 Please provide a link

9.3. Dissemination format - online database

9.3.1 Data tables - consultations	Not relevant
9.3.2 Is an on-line database accessible to users?	Yes
9.3.3 Please provide a link	https://www.fiskeridir.no/Yrkesfiske/Tall-og-analyse/Fangst-og-kvoter/Fangst

9.4. Dissemination format - microdata access

9.4.1 Are micro-data accessible to users?	Yes
9.4.2 Please provide a link	Microdata is published in form of open administrative data: https://www.fiskeridir.no/Tall-og-analyse/AApne-data/Fangstdata-seddel-koblet-med-fartoeydata Researchers will also gain access to microdata for official statistics by entering an agreement for use of data: Forskning

9.5. Dissemination format - other

On request, other tables can be made by agreement

9.6. Documentation on methodology

9.6.1 Are national reference metadata files available?	Yes
9.6.2 Please provide a link	https://www.fiskeridir.no/Yrkesfiske/Tall-og-analyse/Fangst-og-kvoter/Om-statistikken-Landings-og-sluttseddelregister
9.6.3 Are methodological papers available?	Yes
9.6.4 Please provide a link	https://www.fiskeridir.no/Yrkesfiske/Tall-og-analyse/Fangst-og-kvoter/Om-statistikken-Landings-og-sluttseddelregister
9.6.5 Is a handbook available?	Yes
9.6.6 Please provide a link	https://www.fiskeridir.no/Yrkesfiske/Tall-og-analyse/Fangst-og-kvoter/Om-statistikken-Landings-og-sluttseddelregister

9.7. Quality management - documentation

9.7.1 Metadata completeness - rate	100%
9.7.2 Metadata - consultations
9.7.3 Is a quality report available?	Yes
9.7.4 Please provide a link	https://www.fiskeridir.no/media/Files/yrkesfiske/statistikk/fangst-og-kvoter/dok-kvalitetssikring-landing-sluttseddel-data.pdf

10. Cost and Burden

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10.1 Efficiency gains if compared to the previous quality report	Further automation Other
10.2 If Other, please specify	Quality management is carried out closer to arrival of data and this provides a more effective quality management
10.3 Burden reduction measures since the previous quality report	None
10.4 If Other, please specify

11. Confidentiality

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11.1. Confidentiality - policy

11.1.1 Are confidential data transmitted to Eurostat?	No
11.1.2 If yes, are they confidential in the sense of Reg. (EC) 223/2009?
11.1.3 Describe the data confidentiality policy in place	The Ministry of Trade, Industry and Fisheries has decided that information from the administrative register (landings- and salesnote) on catches on individual vessels and where this is landed, shall be information available to the public. However, information on price per salesnote is considered a trade secret and is excempt from public access. This information will be available one year after sale. In the case of landings from smaller vessels that are registered on an individual birth number, the identity of the owner will in addition be regarded as sensitive personal information that is excempt from public access.

11.2. Confidentiality - data treatment

11.2.1 Describe the procedures for ensuring confidentiality during dissemination	Sensitive information about a fishermens birth number is hidden as well as value per salesnote for last 12 months.
11.2.2 Additional comments

12. Comment

Related metadata

Annexes