Aquaculture production by species (fish_aq)

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

Compiling agency: The Statistical Office of the Slovak Republic


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

The Statistical Office of the Slovak Republic
1.2. Contact organisation unit

Agricultural Statistics Department
1.5. Contact mail address

The Statistical Office of the Slovak Republic

Lamačská 3/C

840 05 Bratislava 45

Slovakia


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? No
If Yes, please answer all the following questions.
2.1.4 Name of the national legislation
2.1.5 Link to the national legislation
2.1.6 Responsible organisation for the national legislation
2.1.7 Year of entry into force of the national legislation
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?


Additional comments to data description

According to the Act no. 540/2001 Coll of. on the state statistics there is a general obligation for any of survey units (for example aquaculture producers in this case) to meet the reporting obligation.
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

The entire territory of the country
2.7.2 Which special Member State territories are included?

Not applicable
2.8. Coverage - Time

2001-Today
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

Ryb 1-01
3.1.8 Name of Organisation responsible

Statistical Office of the Slovak Republic

Agricultural Statistics Department
3.1.9 Main scope

The scope of the census is to collect from all aquaculture production facilities registered in the National register relevant information on the aquaculture production (volume and value).
3.1.10 List used to build the frame

A list of active producers surveyed in the previous years and new producers registered by the State veterinary and Food Service of the Slovak Republic.
3.1.11 Any possible threshold values

None
3.1.12 Population size

117
3.1.13 Surveyed entity Enterprise
3.1.14 If Enterprise, please specify Any enterprise active in the aquaculture sector
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

 



Annexes:
Annual questionnaire on catches
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

Ryb 1-01
3.3.2 Methods of data collection Electronic questionnaire
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)

See annexed file
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
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
3.4.3 If Other, please specify
3.5. Data compilation
3.5.1 Describe the data compilation process

Data are collected and controlled at the branch office of the Statistical Office of the SR in Nitra, and after that they are controlled again, validated and aggregated at the headquarters of the Statistical Office of the SR in Bratislava.
3.5.2 Additional comments
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?

Implementation of the norm STN EN ISO 9001:2015
4.1.3 Has a peer review been carried out? No
4.1.4 If Yes, which were the main conclusions?
4.1.5 What quality improvements are foreseen? Improve data validation
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

All user needs are met.
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

There are meetings organised by the Ministry of Agriculture and Rural Development of the Slovak Republic, where the representants of the statistical office, ministry and aquaculture producers meet in order to discuss the current development in this sector.
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

We send all relevant data on the aquaculture production in Slovakia.


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? 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

Not applicable
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

Ryb 1-01
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? Yes
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 None
Misclassification 
6.3.1.7 Impact on the data quality None
Common units 
6.3.1.8 Common units - proportion

Not applicable
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
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

Ryb 1-01
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?

21
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?

No other actions.
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

Ryb 1-01
6.3.3.2 Unit non-response - rate

0,9%
6.3.3.3 How do you evaluate the recorded unit non-response rate in the overall context? Low
6.3.3.4 Measures taken for minimising the unit non-response Follow-up interviews
Reminders
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

0%
6.3.3.9 Which items had a high item non-response rate? 

Not applicable.
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

Ryb 1-01
6.3.4.2 Imputation - rate

0%
6.3.4.3 Imputation - basis Other
6.3.4.4 If Other, please specify

We do not perform imputation.
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
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? Yes
6.6.3 What was the main reason for the revisions?

We revised the 2021 data in dataset FISH_AQ2A_A on the basis of the request from Eurostat. We added the confidential data for CLZ to aggregated non-confidential data for other species (except for trouts and carps), which were provided together under the code Aquameth – NSP and Species – FRF.
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?

5 months.
7.1.2 When were the final results for the reference period published?

5 months.
7.1.3 Reasons for possible long production times?

No reasons.
7.2. Punctuality
7.2.1 Were data released according to a pre-announced schedule (Release Calendar)? No
7.2.2 If Yes, were data released on the target date?
7.2.3 If No, reasons for delays?

The publication of data is not involved in the national release calendar.
7.2.4 Number of days between the release date of data and the target date

Not applicable.


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

Since 2002
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?

There are no other national data.
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

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
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? No
9.2.5 Please provide a link
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://datacube.statistics.sk/#!/view/sk/VBD_SLOVSTAT/pl2020rs/v_pl2020rs_00_00_00_sk
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

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

https://slovak.statistics.sk/wps/portal/ext/metadata/!ut/p/z1/lZLJboMwFEW_qPI1NkOWJmmMGQy2C0m9qVhUFVKTdFH1-4sQqjqokLydpXt039Ez8eRI_Ln_GF769-Fy7l_H96OPnkyskjSlAqiKLRRTmUmFpVCcHKYA_hkB4r_zdVTcQ-VVWuxqTRMXzfxXINF2DDyIRtqcU_Bw4ruymfsDFkG4fOd4GLCqimd-K0XG4xJIShlCiay1G8MYBLuuXxhjXNl1kF2wHwWphG5bYB__7K9NM_arQnO3UQgcm_mFwI3-aRdAxdrSwhjIml_nvxDwy3qHtQP75fP-4v8K-rX_46fI0gXXdvBrkn5tC51dTs_k7dTOc8Sg7sQnDodV_g!!/dz/d5/L2dBISEvZ0FBIS9nQSEh/
9.6.3 Are methodological papers available? Yes
9.6.4 Please provide a link

https://slovak.statistics.sk/wps/portal/ext/metadata/programme/!ut/p/z1/jZNLbsMgFEXXkhXwMP6QIf4EU7AdbOOkTKqMIktt2kHV9RelaZU6CoSZpXPeBXxBFu2RPR2-5uPhc34_HV7d97NNXya1pXmOGdCyA0iHqRfZkGLAKdqdAZ2JHwAaWYAgotY56zGIGNlrv6sUAR1hE40wgmySi19wVseZAqCKJyBYbfq1JgQY-e_fy4c7i8Fj_t_-u1RWIJ6aXJZdi-mQnn2mtR7UNAGfoo07HubQGgOwyZY-rw0F0ebA-VphGS_yeTa6S2nbwUxUE9pFF98DWM94Gcp3gM8XScB3gM_XOOA7wPrrsTj_bUF8_6-58W8Bn1-RgF892D8PYP313CF7RnwvIDTDhi7Zhlq8mEBl4Sa0yVgmU0u2CgeA6jdiM2wjto55UfadixiLiA4qjQAw-ngzV2sPs5jFka1W33N8L3c!/dz/d5/L2dJQSEvUUt3QS80TmxFL1o2X1ZMUDhCQjFBMDBVTkEwQU83OTlESkUxR0Iy/
9.6.5 Is a handbook available? No
9.6.6 Please provide a link
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://slovak.statistics.sk/wps/portal/ext/metadata/qreports/!ut/p/z1/lZLNboMwEIQfiTW_5mhIMI4dgwGT1JeKU4TUpj1Uff5CRdUCiq3uzdr5dnbl8Yx39cx9-Bxvw8f4dh9epveTiZ9VwnCWIQJw5jmwgJUqIw0CFnqXtQDL5gisIzVtTiGCMPLM33YV86l9Omf8UEmE23jL7w1mHh4UgYXPKSnDRABgQSNgpNRNqoIASLD2f7S_xcD86_79gTNPlFKt6HugvV9MPKIgtQYokoW3CGa-aGufpCHND001tbvcx62IfQC08BbBan9aagxMZkBpKhAPYbv_XjDzvaiXdtJNV0vZ6h6rAFf-wlsENn-eOPx5YuVZ5OBZZOUVcvAKuf_ffEtsCXRl2LhMjCtFmwmY59MEGXWHqJdBLZBDcPyxsOTo_VX_1hVGNrLbFyRv6Vs!/dz/d5/L2dJQSEvUUt3QS80TmxFL1o2X1ZMUDhCQjFBME9FTDMwUTIxVTJUMFQwS001/


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


11. Confidentiality Top
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 Statistical Office of the SR has adopted its own Directive on the protection of confidential statistical data, where the issue of confidentiality is described in detail.
11.2. Confidentiality - data treatment
11.2.1 Describe the procedures for ensuring confidentiality during dissemination

The confidentiality during dissemination is ensured by the rule which bans to publish data concerning less than 3 reporting units.
11.2.2 Additional comments


12. Comment Top

Regarding the Slovak aquaculture sector we think that it is quite small to perform a statistical survey in the form of census. We contact all the aquacultural producers to obtain the data necessary to meet the requirements of the Regulation (EC) 762/2008 and send them the statistical questionnaire Ryb 1-01. In case that any reporting unit does not respond, the contact person from our branch office contacts him directly and try to obtain some qualified answers on our questions.


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Annexes Top
ESQRS_ANNEX_SK