Aquaculture production by species (fish_aq)

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

Compiling agency: Statistical Office of the Republic of Slovenia (SURS)  


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)
 



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1. Contact Top
1.1. Contact organisation

Statistical Office of the Republic of Slovenia (SURS)

 
1.2. Contact organisation unit

Department for Agriculture, Forestry, Fishing and Hunting statistics (SURS)

 
1.5. Contact mail address

gp.surs@gov.si

 


2. Statistical presentation Top
2.1. Data description

Main characteristics

2.1.1 Describe shortly the main characteristics of the statistics 

Aquaculture production statistics as defined in Regulation (EC) 762/2008 contain four different datasets:
AQ2A - Aquaculture production volume at first sale for human consumption (excluding hatcheries and nurseries) by species, FAO Major Area, cultivation method, and aquatic environment.
AQ2B - Production of fish eggs (roe) for human consumption at the first sale by species, by FAO Major Area, cultivation method, and aquatic environment.
AQ3 - Input to capture-based aquaculture, i.e. wild seed, by species.
AQ4 - Production of juveniles and fertilized eggs at first sale for further on-growing or release to the wild by species.
The production volume is measured in tonnes live weight (TLW) and economic value as unit price in national currency per tonne (NAC_T/TLW), except for juveniles and fertilized eggs which are measured in numbers.
In addition, a fifth dataset (AQ5) provides information on the size (in hectares, 1000 cubic meters or meters) of aquaculture production facilities segmented by species group, FAO Major Area, cultivation method, and aquatic environment.

 


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

The legislation name is: Rules of the Central Register of aquaculture facilities and commercial ponds and on the collection of data on livestock and production from aquaculture (Official Journal RS, No. 3/11)

 
2.1.5 Link to the national legislation

http://www.uradni-list.si/1/content?id=101891

 
2.1.6 Responsible organisation for the national legislation

The Ministry of Agriculture, Forestry and Food (MAFF)

 
2.1.7 Year of entry into force of the national legislation

2011

 
2.1.8 Please indicate which variables required under EU regulation are not covered by national legislation, if any.
2.1.9 Please indicate which national definitions differ from those in the EU regulation, if any.
2.1.10 Is there a legal obligation for respondents to reply? Yes


Additional comments to data description

These legal acts are the basis for our Register: Livestock Farming Act,  (Official Journal RS, No. 18/02), Veterinary Compliance Criteria Act,  (Official Journal RS, No. 93/05), and the Regulation EC No. 762/2008 on the submission of statistics on aquaculture.

 
2.2. Classification system

The following variables are recorded concerning aquaculture production:
a) 'Species' means the species of aquatic organisms identified using the international 3-alpha code as defined by the FAO (ASFIS List of Species for Fishery Statistics Purposes). Individual species are grouped in aggregates according to their taxonomy and living habits. These aggregates are specified in the International Standard Statistical Classification of Aquatic Animals and Plants (ISSCAAP) and indicated in the ASFIS list.
b) 'FAO major areas' means the geographical areas as defined by the FAO (CWP Handbook of fishery statistical standards). The FAO major areas covered are: 27 'Northeast Atlantic', 37 'Mediterranean and Black Sea', 34 'Atlantic Eastern Central', 5 'European inland waters', 1 'African inland waters'.
c) 'Cultivation method' includes ponds, cages, tanks and raceways, enclosures and pens, recirculation systems, others and not specified. For molluscs also on-bottom and off-bottom systems.
d) 'Aquatic environment' distinguishes the water types fresh water and salt (sea and brackish) water.
The methods and water types are defined in Annex I of Regulation (EC) No 762/2008.

 
2.3. Coverage - sector

Off-farm commercial aquaculture production destined for human consumption.

 
2.4. Statistical concepts and definitions
According to Regulation (EC) 762/2008, aquaculture production means the output from aquaculture at first sale. For fish, crustaceans, mollusks, and other aquatic organisms the output from aquaculture for aquariums, of ornamental or functional species, for research purposes and production, which is not intended for sale is not included. The output from aquaculture of aquatic plants at first sale will be recorded notwithstanding their final use.
The production volume is expressed in tonnes of live weight [TLW] of the product. This weight includes all shells and bones. Data for the economic value of the production are reported as unit prices in national currency per tonne [NAC_T]. The production of hatcheries and nurseries is reported in numbers and expressed in millions. Data on the structure of the aquaculture sector are expressed in thousand cubic meters, hectares, or, optionally, 'meters rope length' according to the method.
 
2.5. Statistical unit

Aquaculture production facility

 
2.6. Statistical population

All commercially active aquaculture production facilities within the national territory.

 
2.7. Reference area
2.7.1 Geographical area covered

The entire territory of the country.

 
2.7.2 Which special Member State territories are included?

Not applicable.

 
2.8. Coverage - Time

2011-

 
2.9. Base period

Not applicable.

 


3. Statistical processing Top
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 List used to build the frame
3.1.11 Any possible threshold values
3.1.12 Population size
3.1.13 Surveyed entity
3.1.14 If Enterprise, please specify
3.1.15 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 
3.1.16 Name/Title
3.1.17 Name of Organisation responsible
3.1.18 Main scope
3.1.19 List used to build the frame
3.1.20 Any possible threshold values
3.1.21 Population size
3.1.22 Surveyed entity
3.1.23 If Enterprise, please specify
3.1.24 Sample size
3.1.25 Sampling basis
3.1.26 If Other, please specify
3.1.27 Type of sample design
3.1.28 If Other, please specify
3.1.29 If Stratified, number of strata
3.1.30 If Stratified, stratification criteria
3.1.31 If Other, please specify
3.1.32 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 
3.1.33 Name/Title

Central register of aquaculture facilities and commercial ponds and on the collection of data on livestock and production from aquaculture (OJ RS, No. 3/11).

 
3.1.34 Name of Organisation responsible

The Ministry of Agriculture, Forestry and Food (MAFF).

 
3.1.35 Contact information (email and phone)

 

 

 

 
3.1.36 Main administrative scope

To establish the evidence on aquaculture facilities and the collection of data on livestock and production.

 
3.1.37 Geospatial Coverage National
3.1.38 Update frequency Annual
3.1.39 Legal basis

The Rules of the central register of aquaculture facilities and commercial ponds and on the collection of data on livestock and production from aquaculture.

 
3.1.40 Are you able to access directly to the micro data? Yes
3.1.41 Are you able to check the plausibility of the data, namely by contacting directly the units? No
3.1.42 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
3.1.43 Please list the main differences between the administrative source and the statistical definitions and concepts

In addition to data on aquaculture production by commercial entities, our Register also contains the data on aquaculture production for own consumption.

 
3.1.44 Is a different threshold used in the administrative source and statistical data? Yes
3.1.45 If Yes, please specify

Statistical data contain only the data on commercial entities (the production for the market).

 
3.1.46 Additional comments

The responsible person of MAFF can access directly to the micro data, to check the plausibility of the data and contact the reporting units.

 


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 
3.1.47 Name/Title
3.1.48 Primary purpose
3.1.49 Legal basis
3.1.50 Update frequency
3.1.51 Expert data supplier
3.1.52 If Other, please specify
3.1.53 How would you assess the quality of those data?
3.1.54 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 
3.1.55 Name/Title
3.1.56 Name of Organisation
3.1.57 Primary purpose
3.1.58 Data type
3.1.59 If Other, please specify
3.1.60 How would you assess the quality of those data?
3.1.61 Additional comments

 
3.2. Frequency of data collection

Annual

 
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

Central register of aquaculture facilities and commercial ponds and on the collection of data on livestock and production from aquaculture (OJ RS, No. 3/11).

 
3.3.16 Extraction date

The extraction date is on 30. July.

 
3.3.17 How easy is it to get access to the data? Direct constant access
3.3.18 Data transfer method

All data are processed by the Ministry of Agriculture, Forestry and Food and the Statistical Office of RS obtains the aggregated data in Excel data format.

 
3.3.19 Additional comments

To avoid the burden of the same reporting units for the same matters by two or more governmental institutions we reached the arrangement that data on aquaculture are collected and processed by the Ministry of Agriculture, Forestry and Food.

 


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
3.4.2 What do they target? Completeness
Aggregates
Consistency
3.4.3 If Other, please specify
3.5. Data compilation
3.5.1 Describe the data compilation process

All legal or physical persons engaged in aquaculture production as an economic activity are obliged to send their production data to the Central Register of Aquaculture, annually. Reporting data on the changes in the production facilities are obliged, too. 

The deadline for submitting these data is 1. March following the reference year. Due to reporting delays or due to revealed missing values in some reporting forms, some observation units are contacted by phone, and their data are collected or corrected in this way. In case of missing data, some editing procedures are used including the imputation based on the data of the same unit from the previous year or based on the quantity of water used for the aquaculture production.

For the units that reported data on processed fish products instead of the fish live weight some conversion factors are used for the final calculation (for gutted fish conversion the factor was 1.3 and for filleted fish, the conversion factor was 2).

 
3.5.2 Additional comments

All the above-mentioned activities are performed at MAFF.

 
3.6. Adjustment

Not applicable.

 


4. Quality management Top
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?

The central register is compiled to meet the administrative and statistical data needs. All management process is organized to reduce as much as possible the reporting burden and to minimize the double work at the different governmental institutions.

 
4.1.3 Has a peer review been carried out? Yes
4.1.4 If Yes, which were the main conclusions?

Statistical Office established the Working group on fisheries statistics to analyze these statistics and the main user needs regarding these data. Working group meetings were devoted to data quality assurance and data confidentiality issues. Regarding the small population of aquaculture production, it is essential to ensure the data confidentiality of sensitive data issues.

 
4.1.5 What quality improvements are foreseen?
4.1.6 If Other, please specify
4.1.7 Additional comments
4.2. Quality management - assessment

Development since the last quality report

4.2.1 Overall quality Stable
4.2.2 Relevance Stable
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

The main source of aquaculture data is administrative data which are controlled in different manners including the inspector controls.

There is no other appropriate second data source to compare it with our aquaculture production data regularly. However, some particular data is possible to be compared with veterinary data and it was employed to ensure the expected data quality.

Aquaculture production statistics and methodological explanations of published data are accessible online via the official SURS website. Some exceptions represent confidential data that could not be published.

 


5. Relevance Top
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

Generally, data satisfied our data users without their remarks regarding the extent and the quality of the available data.

 
5.3. Completeness
5.3.1 AQ2A - Data completeness - rate

100% of the required data.

 
5.3.2 AQ2B - Data completeness - rate

0% (This type of aquaculture production doesn't exist).

 
5.3.3 AQ3 - Data completeness - rate

0% (This type of aquaculture production doesn't exist).

 
5.3.4 AQ4 - Data completeness - rate

100% of the required data.

 
5.3.5 AQ5 - Data completeness - rate

100% of required data.

 
5.3.6 If not complete, which characteristics are missing?
5.3.7 Additional comments


6. Accuracy and reliability Top
6.1. Accuracy - overall
6.1.1 How good is the accuracy? Good
6.1.2 What are the main factors lowering the accuracy? Measurement error
Non-response error
6.1.3 If Other, please specify
6.1.4 Additional comments
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 If coefficients of variation are calculated, please describe the calculation methods and formulas
6.2.5 Sampling error - indicators

The survey is not conducted on the basis of a random sample.

 
6.2.6 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 Over-coverage - rate

Not available.

 
Under-coverage 
6.3.1.3 Does the sample frame include all units falling within the scope of this survey?
6.3.1.4 If Not, which units are not included?
6.3.1.5 How large do you estimate the proportion of those units? (%)
6.3.1.6 Impact on the data quality
Misclassification 
6.3.1.7 Impact on the data quality
Common units 
6.3.1.8 Common units - proportion

Not available.

 
6.3.1.9 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  
6.3.1.10 Name/Title
Over-coverage 
6.3.1.11 Over-coverage - rate

Not available.

 
Under-coverage 
6.3.1.12 Does the sample frame include all units falling within the scope of this survey?
6.3.1.13 If Not, which units are not included?
6.3.1.14 How large do you estimate the proportion of those units? (%)
6.3.1.15 Impact on the data quality
Misclassification 
6.3.1.16 Impact on the data quality
Common units 
6.3.1.17 Common units - proportion

Not available.

 
6.3.1.18 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 
6.3.1.19 Name/Title

The Central register of aquaculture and commercial ponds and the collection of data on livestock and production from aquaculture.

 
Over-coverage 
6.3.1.20 Over-coverage - rate

Not available.

 
Under-coverage 
6.3.1.21 Does the administrative source include all units falling within the scope of this survey? Yes
6.3.1.22 If Not, which units are not included?
6.3.1.23 How large do you estimate the proportion of those units? (%)
6.3.1.24 Impact on the data quality
Misclassification 
6.3.1.25 Impact on the data quality Low
6.3.1.26 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 Explanatory notes/handbook for surveyors/respondents? 
6.3.2.5 On-line FAQ or Hot-line support for surveyors/respondents?
6.3.2.6 Other actions taken for reducing the measurement error?
6.3.2.7 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 6.3 of the annexed Excel file 
6.3.2.8 Name/Title
6.3.2.9 Is the questionnaire based on usual concepts for respondents?
6.3.2.10 Number of surveys already performed with the current questionnaire?
6.3.2.11 Explanatory notes/handbook for surveyors/respondents? 
6.3.2.12 On-line FAQ or Hot-line support for surveyors/respondents?
6.3.2.13 Other actions taken for reducing the measurement error?
6.3.2.14 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
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
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

Not applicable.
6.6. Data revision - practice
6.6.1 Data revision - average size

Not available.

 
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?
6.6.4 How do you evaluate the impact of the revisions?
6.6.5 Additional comments


7. Timeliness and punctuality Top
7.1. Timeliness
7.1.1 When were the first  results for the reference period published?

08/2022

 
7.1.2 When were the final results for the reference period published?

The first results are the final results.

 
7.1.3 Reasons for possible long production times?
7.2. Punctuality
7.2.1 Were data released 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 release date of data and the target date

0 day

 


8. Coherence and comparability Top
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

2011 - 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?

No other regular data source exists, that could be used for data comparison.

 
8.3.2 Describe briefly the results of comparisons
8.3.3 Additional comments
8.4. Coherence - sub annual and annual statistics

Not applicable.

 
8.5. Coherence - National Accounts

Aquaculture statistics are used for National Accounts.

 
8.6. Coherence - internal

Not applicable.

 


9. Accessibility and clarity Top
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.stat.si/StatWeb/en/News/Index/11297

 
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? Yes
9.2.4 If Yes, is there an English version? Yes
9.2.5 Please provide a link

https://www.stat.si/StatWeb/en/News/Index/11297

 

 

 

 

 

 

 
9.3. Dissemination format - online database
9.3.1 Data tables - consultations

Data table with two variables (quantity of aquaculture production in kg and total value of this production in EUR ).

 
9.3.2 Is an on-line database accessible to users? Yes
9.3.3 Please provide a link

 https://pxweb.stat.si/SiStat/en/Podrocja/Index/85/kmetijstvo-gozdarstvo-in-ribistvo

 
9.4. Dissemination format - microdata access
9.4.1 Are micro-data accessible to users? No
9.4.2 Please provide a link
9.5. Dissemination format - other


There is no other dissemination done. 

 
9.6. Documentation on methodology
9.6.1 Are national reference metadata files available? Yes
9.6.2 Please provide a link

https://www.stat.si/StatWeb/File/DocSysFile/8064/15-191-ME.pdf

 
9.6.3 Are methodological papers available? Yes
9.6.4 Please provide a link

http://www.stat.si/StatWeb/File/DocSysFile/8064/15-191-ME.pdf

 
9.6.5 Is a handbook available? Yes
9.6.6 Please provide a link

http://www.stat.si/StatWeb/File/DocSysFile/8064/15-191-ME.pdf

 
9.7. Quality management - documentation
9.7.1 Metadata completeness - rate

Not available.

 
9.7.2 Metadata - consultations

Not available.

 
9.7.3 Is a quality report available? No
9.7.4 Please provide a link


10. Cost and Burden Top
10.1 Efficiency gains over the last 3 years None
10.2 If Other, please specify
10.3 Burden reduction measures since the previous quality report Other
10.4 If Other, please specify

To reduce cost and respondent burden all activities regarding this data are divided between SURS and MAFF from 2011 onward.

 


11. Confidentiality Top
11.1. Confidentiality - policy
11.1.1 Are confidential data transmitted to Eurostat? Yes
11.1.2 If yes, are they confidential in the sense of Reg. (EC) 223/2009? Yes
11.1.3 Describe the data confidentiality policy in place

Protection of tables:

- Primary sensitive cells are defined and suppressed. Rules for primary sensitive cells are threshold rule, dominance rule, p % rule. For frequency tables, only the threshold rule is used. For magnitude tables, both the threshold rule and p % rule are used or both the threshold rule and dominance rule are used.

In case some units allow us to publish their data or some data come from a publicly available source, a request rule can be used.

- Secondary sensitive cells are defined and suppressed. Usually, Tau-Argus is used to protect primary and secondary sensitive cells.

- The protection of data that are already published is taken into account. We try to protect linked tables simultaneously. We also try to define hierarchical tables to avoid residual disclosure problems.

Approach for publishing national Aquaculture statistics: Top-down

Procedures for ensuring confidentiality of disseminated data; Cell suppression, Aggregation

Other

 
11.2. Confidentiality - data treatment
11.2.1 Describe the procedures for ensuring confidentiality during dissemination

Protection of tables:

- Primary sensitive cells are defined and suppressed. Rules for primary sensitive cells are threshold rule, dominance rule, p % rule. For frequency tables, only the threshold rule is used. For magnitude tables, both the threshold rule and p % rule are used or both the threshold rule and dominance rule are used.

In case some units allow us to publish their data or some data come from a publicly available source, a request rule can be used.

- Secondary sensitive cells are defined and suppressed.

- The protection of data that are already published is taken into account. We try to protect linked tables simultaneously. We also try to define hierarchical tables to avoid residual disclosure problems.

Approach for publishing national Aquaculture statistics: Top-down

Procedures for ensuring confidentiality of disseminated data; Cell suppression, Aggregation

Other

 
11.2.2 Additional comments


12. Comment Top


Related metadata Top


Annexes Top
ESQRS_ANNEX_SI