Aquaculture production by species (fish

Aquaculture production by species (fish_aq)

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

Compiling agency: Ministero dell'agricoltura, della sovranità alimentare e delle foreste (MASAF - Ministry of Agriculture, Food Sovereignty and Forests), in charge of providing aquaculture statistics concerning the years 2022, 2023 and 2024, according to Regulation (EC) No. 762/2008 of the European Parliament and the Council, has instructed the Italian Council for Agricultural Research - CREA for the surveys 2019-2021.

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

Ministero dell'agricoltura, della sovranità alimentare e delle foreste (MASAF - Ministry of Agriculture, Food Sovereignty and Forests), in charge of providing aquaculture statistics concerning the years 2022, 2023 and 2024, according to Regulation (EC) No. 762/2008 of the European Parliament and the Council, has instructed the Italian Council for Agricultural Research - CREA for the surveys 2019-2021.

1.2. Contact organisation unit

Ministero dell'agricoltura, della sovranità alimentare e delle foreste (MASAF) is the authority in charge of the collection and processing and dissemination of data.
Inside the Ministry:
Office PEMAC 1 - Directorate General of Maritime Fisheries and Aquaculture – is the Unit responsible for transmitting data to the Commission (DG MARE) early estimates data for FAO;
Office AGRET 2 – Directorate General of general and territorial affairs – statistics office - is responsible for pre-validation, validation and data transmission via e-damis.

1.5. Contact mail address

Ministero dell'agricoltura, della sovranità alimentare e delle foreste (MASAF)

Via XX Settembre, 20, 00187 Roma RM (Italy)

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 detection is based, since 2008, on the register of companies drawn up in previous national surveys and other administrative process operated by the Ministry.

Objects of the service were the collection and compilation of statistical data concerning Italy and referred to the following areas:

1) annual production (volume and unit value) of aquaculture (FISH_AQ2A_A);

2) annual production of fish eggs intended for human consumption (FISH_AQ2B_A);

3) annual inputs (volume and unit value) to capture-based aquaculture (FISH_AQ3_A);

4) annual production of hatcheries and nurseries (FISH_AQ4_A);

5) Structure of aquaculture sector (FISH_AQ5_A3) (not due for 2022)

The reference context of the investigation has been circumscribed, defining the following parameters:

Statistical unit: the statistical unit of reference for the survey is the individual aquaculture company/ company.

Reference population: in light of previous data and in continuity with previous experience, we consider the reference population as a whole of the plants present on the Italian national territory that practice aquaculture in fresh, marine and brackish water and hatcheries and nurseries. The list, available from previous surveys, has been integrated with the updated registers of the production facilities extracted from the database of the Ministry of Health.

Reference territory: ITALY.

Reference period: Year of production 2022.

Statistical variables of interest and their classifications: The statistical variables of interest include all the information, definitions, data and their aggregations as per art. 4 and Annexes I, II, III and IV of the EC Reg. 762/2008.

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 ton (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 (not provided for 2022).

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

2.2. Classification system

Observations have been merged into groups based on the following characteristics:
1) Production sector: fish, crustaceans, shellfish.
2) Environment: freshwater, salt and brackish water.
3) Species: common and scientific name and code.
4) Production method: ponds, tanks and raceways, enclosures and pens, cages, recirculating systems, on bottom, off bottom.

2.3. Coverage - sector

Off-farm commercial aquaculture production destined to human consumption. The statistical variables of interest include all the information, definitions, data and their aggregations as per art. 4 and Annexes I, II, III, IV, V of the EC Reg. 762/2008.

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 (data not provided for 2022).

2.5. Statistical unit

Aquaculture facility.

2.6. Statistical population

The reference population has been considered as a whole of the plants present on the Italian national territory that practice aquaculture in fresh, marine and brackish water and hatcheries and nurseries. On the whole national territory, a total of 679 active plants have been recorded in 2022 related to 504 companies.

2.7. Reference area

2.7.1 Geographical area covered	The entire territory of the IT country
2.7.2 Which special Member State territories are included?	None

2.8. Coverage - Time

since 2008

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"	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	Progetto “AQUADATA3 - “Rilevamento ed elaborazione dei dati inerenti le attività connesse all’acquacoltura esercitate sul territorio nazionale, nelle acque dolci e nelle acque salmastre, al fine di garantire il rispetto del Regolamento (CE) n. 762/2008 – Anni 2022-2023-2024"
3.1.8 Name of Organisation responsible	Consiglio per la Ricerca in Agricoltura e l'Analisi dell'Economia Agraria (CREA)
3.1.9 Main scope	Aquaculture data collection.
3.1.10 List used to build the frame	1) List of enterprises: unique identification code, company's personal data (the company code was assigned using the same code as the previous year in order to allow the creation of a direct link between the years; in the event that the company is not registered in the previous year, it has been included ex-novo); 2) List of facilities: univocal identification code of the plant and location (the plant code was assigned using the same code as the previous year in order to allow the creation of a direct connection between the years, in case the plant was not surveyed in the previous year, this it has been included ex-novo)
3.1.11 Any possible threshold values	No threshold values
3.1.12 Population size	679
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	Progetto “AQUADATA3 - “Rilevamento ed elaborazione dei dati inerenti le attività connesse all’acquacoltura esercitate sul territorio nazionale, nelle acque dolci e nelle acque salmastre, al fine di garantire il rispetto del Regolamento (CE) n. 762/2008 – Anni 2022-2023-2024"
3.3.2 Methods of data collection	Face-to-face interview
3.3.3 If Other, please specify
3.3.4 If face-to-face or telephone interview, which method is used?	Electronic questionnaire
3.3.5 Data entry method, if paper questionnaires?
3.3.6 Please annex the questionnaire used (if very long: please provide the hyperlink)	Mobile app for data entering ad hoc developed by CREA for Italian aquaculture data collection and available at http://www.acquaculturecrea.it https://webgate.ec.europa.eu/estat/spe/metaconv/downloadMetadataFileAnnexe.htm?typologyConceptId=8454&metadataFileAnnexeIdentifier=28751
3.3.7 Additional comments	CREA, in continuity with previous experience, carried out the survey in cooperation with a solid regional network. Survey was carried out using the direct contact method: through direct visit of the experts to the facilities and assisted interview. With the available references it was possible to visit and obtain data from all the facilities.

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

Annexes:
Mobile App description

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
Aggregates
Consistency

3.4.3 If Other, please specify

Routine control checks (both automatic and manual) were performed at the time of data digitalization, in order to prevent possible errors (e.g., typing, duplicating, unit of measure). The mobile app was specifically designed to reduce errors, in particular unit of measure and allocation of species to the right environment and farming method.

3.5. Data compilation

3.5.1 Describe the data compilation process	Routine control checks (both automatic and manual) were performed at the time of data digitalization, in order to prevent possible errors (e.g., typing, duplicating, unit of measure). The mobile app was specifically designed to reduce errors, in particular unit of measure and allocation of species to the right environment and farming method.
3.5.2 Additional comments

3.6. Adjustment

On the basis of the production censuses conducted in the previous years, the experts of the national network and CREA researchers have assessed the 2022 data, evaluating and correcting possible errors. Inconsistent or particularly diverse values have been cross-checked.

4. Quality management

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4.1. Quality assurance

4.1.1 Is there a quality management system used in the organisation?

4.1.2 If yes, how is it implemented?

Training for operators collecting data was carried out in order to show the correct use of the mobile app.

4.1.3 Has a peer review been carried out?

4.1.4 If Yes, which were the main conclusions?

4.1.5 What quality improvements are foreseen?

Improve data validation
Further automation
Other

4.1.6 If Other, please specify

The dataset has been implemented: aquaculture production facilities, were possible, have been geolocalized; references, contacts, websites and VAT Number, if available, have been indicated for each facility.

Crosscheck the updated list of enterprises with other Public Authorities.

4.1.7 Additional comments

Annexes:
Training video DESTOP version
Training video MOBILE version

4.2. Quality management - assessment

Development since the last quality report

4.2.1 Overall quality

Improvement

4.2.2 Relevance

Stable

4.2.3 Accuracy and reliability

Improvement

4.2.4 Timeliness and punctuality

Stable

4.2.5 Comparability

Improvement

4.2.6 Coherence

Improvement

4.2.7 Additional comments

The dataset quality has to be considered very good, as data from more than 99% of the production units registered have been collected and verified.

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

Standardization needs

5.1.2 Please specify any plans to satisfy needs more completely in the future

In accordance with Public administrations and Statistical national institute (ISTAT) the standardization of level of aggregation of data share will be foreseen within the next three years.

5.1.3 Additional comments

The degree to which statistical information meets the real or perceived user's needs.

Users are mainly Public bodies, Administrations and farmers associations. Data are requested for business planning. Satisfaction degree is good

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

5.3. Completeness

5.3.1 AQ2A - Data completeness - rate

95%

5.3.2 AQ2B - Data completeness - rate

95%

5.3.3 AQ3 - Data completeness - rate

90%

5.3.4 AQ4 - Data completeness - rate

90%

5.3.5 AQ5 - Data completeness - rate

90%

5.3.6 If not complete, which characteristics are missing?

5.3.7 Additional comments

All the data requested by Annexes I, II, III, IV, V of the EC Reg. 762/2008 have been collected and regularly transmitted via e-damis to EU. The raw data are stored in the CREA server and available upon request to the Ministero dell'agricoltura, della sovranità alimentare e delle foreste (MASAF).

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?

Other

6.1.3 If Other, please specify

Automatization by the use of the APP reduced processing errors. Trained and expert operators for data collection.

6.1.4 Additional comments

No estimates have been performed, as the survey for year 2022 was a census and covered all national enterprises and companies.

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	No estimates have been performed, as the survey for year 2020 was a census and covered all national enterprises and companies.

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

Progetto “AQUADATA3 - “Rilevamento ed elaborazione dei dati inerenti le attività connesse all’acquacoltura esercitate sul territorio nazionale, nelle acque dolci e nelle acque salmastre, al fine di garantire il rispetto del Regolamento (CE) n. 762/2008 – Anni 2022-2023-2024”

Over-coverage

6.3.1.2 Over-coverage - rate

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

Misclassification

6.3.1.7 Impact on the data quality

None

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
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
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

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?

yes

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?

6.3.2.6 Other actions taken for reducing the measurement error?

data are collected and supervised by experts

6.3.2.7 Additional comments

There are no dedicated online FAQ or hotline but operators are always available to deal with respondents' issues.

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

Less than 5%

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

Other

6.3.3.5 If Other, please specify

All the aquaculture facilities in the list have been repeatedly contacted

6.3.3.6 Item non-response rate

Not accepted

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?

none, missing data were not accepted

6.3.3.10 Additional comments

The questionnaire is face to face compiled, thus missing answers are not accepted

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?
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

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7.1. Timeliness

7.1.1 When were the first results for the reference period published?

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

Data referred to 2022 were uploaded on 21th December 2022.

7.1.3 Reasons for possible long production times?

Administrative reasons; the new 3-year assignement for data collection has been renewed.

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

8. Coherence and comparability

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8.1. Comparability - geographical

total coverage

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 2008

8.2.2 Have there been major breaks in the time series?

8.2.3 If Yes, please specify the year of break and the reason

8.2.4 Additional comments

Data were fully comparable (differences between statistics can be attributed to differences between the true values of the statistical characteristics).

8.3. Coherence - cross domain

8.3.1 With which other national data sources have the data been compared?	None
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

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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?	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 available.
9.3.2 Is an on-line database accessible to users?	No
9.3.3 Please provide a link

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

The data requested by Annexes I, II, III, IV of the EC Reg. 762/2008 are available in aggregate form at
http://www.acquaculturecrea.it/
Currently, no regular or ad-hoc press releases/publications linked to the data are available. No free on-line database, except for Eurostat tables, graphs and maps interface, are available to the public. Databases are available only by authorized people (with ID and password)
The methodological report is regularly delivered to Eurostat and available to the public upon request, together with documentation on procedures applied for quality management and quality assessment.

Annexes:
DESKTOP APP aquaculture data collection CREA

9.6. Documentation on methodology

9.6.1 Are national reference metadata files available?	No
9.6.2 Please provide a link
9.6.3 Are methodological papers available?	No
9.6.4 Please provide a link
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?	No
9.7.4 Please provide a link

10. Cost and Burden

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10.1 Efficiency gains over the last 3 years

Further automation
Increased use of administrative data
Other

10.2 If Other, please specify

Enhanced training of operators in charge of data collection

Improvemente of the data quality, completeness and availability to public users

10.3 Burden reduction measures since the previous quality report

Other

10.4 If Other, please specify

Increased expertise of operators in charge of direct interviews.

Cost associated with the collection and production of a statistical product and burden on respondents.

CREA is in charge of data collection for the 2022-2024 period under a public agreement with MASAF. Total fund is 395.000 euros. There is not any burden on respondents.

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	Currrently, legislative measures preventing unauthorized disclosure of data are not specified.

11.2. Confidentiality - data treatment

11.2.1 Describe the procedures for ensuring confidentiality during dissemination	Currently, legislative measures preventing unauthorized disclosure of data are not specified.
11.2.2 Additional comments

12. Comment

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Related metadata

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Annexes

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