Aquaculture production by species (fish_aq)

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

Compiling agency: Danish Fisheries Agency


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

Danish Fisheries Agency
1.2. Contact organisation unit

IT & Data
1.5. Contact mail address

Nyropsgade 30
1780 København V

Denmark


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 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 fertilised 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), with the exception of juveniles and fertilised eggs which are measured in numbers.
In addition, a fifth dataset (AQ5) provides information on the size (in hectares, 1000 cubic metres or metres) 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

Bekendtgorelse om indberetning af oplysninger om dansk akvakultur
2.1.5 Link to the national legislation

https://www.retsinformation.dk/Forms/R0710.aspx?id=166919
2.1.6 Responsible organisation for the national legislation

The Danish Fisheries Agency
2.1.7 Year of entry into force of the national legislation

2002
2.1.8 Please indicate which variables required under EU regulation are not covered by national legislation, if any.

Production units and water type is at facility level and not at species level.
2.1.9 Please indicate which national definitions differ from those in the EU regulation, if any.

Eggs collected from the wild are in pieces (as for live eggs from farms) and not in kilos. Convertion to kilos is made before reporting.
2.1.10 Is there a legal obligation for respondents to reply? Yes


Additional comments to data description
2.2. Classification system

The following variables are recorded with regard to 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 to 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 animals, only production for human consumption is considered, while ornamental or functional species as well as feed production is excluded. By contrast, aquatic plants will be recorded notwithstanding their final use.
The production volume is expressed in tonnes 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 price 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 metres, hectares or, optionally, 'metres 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

All of Denmark (excl. Greenland, Fareo Islands and Iceland)
2.7.2 Which special Member State territories are included?

DNK (Greenland and Faroe Islands are not included)
2.8. Coverage - Time

2003-
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"

1
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"

0
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

Akvakultur årsindberetning (Yearly Aquaculture survey)
3.1.8 Name of Organisation responsible

Danish Fisheries Agency
3.1.9 Main scope

To collect data for the reporting to Eurostat
3.1.10 List used to build the frame

Aquaculture register
3.1.11 Any possible threshold values
3.1.12 Population size

274
3.1.13 Surveyed entity Production facitlity
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
3.1.34 Name of Organisation responsible
3.1.35 Contact information (email and phone)
3.1.36 Main administrative scope
3.1.37 Geospatial Coverage
3.1.38 Update frequency
3.1.39 Legal basis
3.1.40 Are you able to access directly to the micro data?
3.1.41 Are you able to check the plausibility of the data, namely by contacting directly the units?
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?
3.1.43 Please list the main differences between the administrative source and the statistical definitions and concepts
3.1.44 Is a different threshold used in the administrative source and statistical data?
3.1.45 If Yes, please specify
3.1.46 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 
3.1.47 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

Akvakultur Årsindberetning (Yearly Aquaculture survey)
3.3.2 Methods of data collection Electronic questionnaire
3.3.3 If Other, please specify

The respondents may fill in a paper questionnaire if they for some reason cannot access the electronic questionnaire. An employee at the Fisheries Agency then fills in this information to the electronic questionnaire.
3.3.4 If face-to-face or telephone interview, which method is used?
3.3.5 Data entry method, if paper questionnaires? Manual
3.3.6 Please annex the questionnaire used (if very long: please provide the hyperlink)

E-questionnary: https://indberet.virk.dk/myndigheder/stat/FISK/Akvakulturindberetning

Paper version: https://fiskeristatistik.fiskeristyrelsen.dk/stat/Akvakultur_tab/Indberetningsskema.pdf 
3.3.7 Additional comments

All owners or tenants of aquaculture facilities in Denmark have to fill in the questionnaire.


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
3.3.16 Extraction date
3.3.17 How easy is it to get access to the data?
3.3.18 Data transfer method
3.3.19 Additional comments


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
Data flagging
Other
3.4.3 If Other, please specify

Valid value
Unit price in market value range
Relational checks between characteristics (e.g. species - method combination)
3.5. Data compilation
3.5.1 Describe the data compilation process

Data are recorded in the Danish Fisheries Agency’s Aquaculture register. In this register all data is accessible at the level of reporting i.e. information concerning facility structure is accessible on the level of facility or groups of similar facilities owned by the same company, while information on the annual input and output is accessible at the level of species, size and origin/usage within the facility or group of facilities. It is compiled to meet the requirement of the different AQ-reports.

In some instances the collected data does not meet the requirements and definitions set by Eurostat since these do not comply with reality of the production processes in the Aquaculture business units. In those instances the following estimation techniques has been used:

a) Reg. Annex 2. Data on production units and type of production water are collected on the level of facility. Hence, if a facility contains more than one type of production unit and/or water, it has been necessary to divide the production on production units and waters, when reporting to the Eurostat . 

b) Facilities with more than one type of production water: If a facility uses both fresh and saltwater in their production, the production of that facility is split equally between the two water types, except for species that only adapts to either salt or fresh water. For those the full production is reported on the water type of the species.

c) Facilities with more than one kind of production units: If a facility produces in more than one kind of production unit, the production of that facility is split between the units according to the size of the units.

d) Reg. Annex 3. Eggs collected from the wild are in pieces (as for live eggs from farms) and not in kilos. Hence the following conversion factors have been used when calculating weight:

- TRS, SAL and HOU: 10.000 eggs pr. kilo

- PLN: 150.000 eggs pr. kilo

- FPI: 160.000 eggs pr. kilo

- FPP: 1.500.000 eggs pr. kilo

- FLE: 1.005.000 eggs pr. kilo

SAS (statistical analysis system) is the tool used for data validation and compilation.
3.5.2 Additional comments
3.6. Adjustment

None


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?

Guidelines has been set by Statistics Denmark, on the basis of the official guide lines by Eurostat (Code of Practice). Each year The Danish Fisheries Agency are obliged to fill in a questionnaire on the compliance. A peer review are conducted by Statistics Denmark every third year.
4.1.3 Has a peer review been carried out? No
4.1.4 If Yes, which were the main conclusions?

A review was cunducted in 2020. It recommendated a publication calendar.
4.1.5 What quality improvements are foreseen? Improve data validation
Further automation
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


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? Yes
If Yes, please answer all the following questions
5.2.2 Year of the user satisfaction survey

2015
5.2.3 How satisfied were the users? Satisfied
5.2.4 Additional comments
5.3. Completeness
5.3.1 AQ2A - Data completeness - rate

100%
5.3.2 AQ2B - Data completeness - rate

100%
5.3.3 AQ3 - Data completeness - rate

100%
5.3.4 AQ4 - Data completeness - rate

100%
5.3.5 AQ5 - Data completeness - rate

100%
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? Very good
6.1.2 What are the main factors lowering the accuracy? Other
6.1.3 If Other, please specify

The respondents not being accurate
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

Please provide the coefficients of variation in the worksheet CV of the annexed Excel file
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

Akvakultur årsindberetning  (Yearly Aquaculture survey)
Over-coverage 
6.3.1.2 Over-coverage - rate

0%
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 applicable
6.3.1.9 Additional comments

We do not have a register for algae producers yet, hence we cannot guarantee that information on all algae production is collected. 


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
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?
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
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

Akvakultur Årsindberetning (Yearly Aquaculture survey)
6.3.2.2 Is the questionnaire based on usual concepts for respondents? Yes
6.3.2.3 Number of censuses already performed with the current questionnaire?

13
6.3.2.4 Explanatory notes/handbook for surveyors/respondents?  Yes
6.3.2.5 On-line FAQ or Hot-line support for surveyors/respondents? Yes
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

Akvakultur Årsindberetning (Yearly Aquaculture survey)
6.3.3.2 Unit non-response - rate

0%
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 Follow-up interviews
Reminders
Legal actions
6.3.3.5 If Other, please specify
6.3.3.6 Item non-response rate

0%
6.3.3.7 Item non-response rate - Minimum

0%
6.3.3.8 Item non-response rate - Maximum

 1%
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

Akvakultur Årsindberetning (Yearly Aquaculture survey)
6.3.4.2 Imputation - rate

0%
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

If substantial changes are made in earlier data, these are reported to the receivers of data, i.e. Statistics Denmark and Eurostat.
6.6. Data revision - practice
6.6.1 Data revision - average size

0
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?

September 29th, 2022
7.1.2 When were the final results for the reference period published?

September 29th, 2022
7.1.3 Reasons for possible long production times?

Lack of ressources
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

Non


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

2005 and foreward.
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

There is a small data breake around 2012-2013 on juveniles, caused by transition from kilos to numbers.
8.3. Coherence - cross domain
8.3.1 With which other national data sources have the data been compared?

Register on aquafarms governed by The Danish Veterinary and Food Administration 
8.3.2 Describe briefly the results of comparisons

A check is made once a year on active facilities and their contact information.
8.3.3 Additional comments
8.4. Coherence - sub annual and annual statistics

Not applicable.
8.5. Coherence - National Accounts

Not applicable.
8.6. Coherence - internal


9. Accessibility and clarity Top
9.1. Dissemination format - News release
9.1.1 Do you publish a news release? No
9.1.2 If Yes, please provide a link

E-mail to interested parties.
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? No
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://fiskeristyrelsen.dk/english/fishery-statistics/aquaculture-statistics/ 

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

Not available
9.3.2 Is an on-line database accessible to users? Yes
9.3.3 Please provide a link

http://www.statistikbanken.dk/akv1
9.4. Dissemination format - microdata access
9.4.1 Are micro-data accessible to users? No
9.4.2 Please provide a link

none
9.5. Dissemination format - other

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

Only available for internal users.
9.6.3 Are methodological papers available? Yes
9.6.4 Please provide a link

Not online.
9.6.5 Is a handbook available? No
9.6.6 Please provide a link

None
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? Yes
9.7.4 Please provide a link

https://fiskeristyrelsen.dk/english/fishery-statistics/aquaculture-statistics/


10. Cost and Burden Top
10.1 Efficiency gains over the last 3 years Other
10.2 If Other, please specify

Optimisation of program code.
10.3 Burden reduction measures since the previous quality report None
10.4 If Other, please specify

None


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

Price values are considered as confidential if they are traceable at enterprise level.
11.2. Confidentiality - data treatment
11.2.1 Describe the procedures for ensuring confidentiality during dissemination

The rules are described in Lovsamling om statistic (Statistical code) and the Data privacy policy, by Statistics Denmark.
11.2.2 Additional comments

Approach for publishing national Aquaculture statistics: Top down

Procedures for ensuring confidentiality of disseminated data: Cell suppresion, Aggregation


12. Comment Top


Related metadata Top


Annexes Top
ESQRS_ANNEX_DK