Landings of fishery products (fish_ld)

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

Compiling agency: National Statistics Office


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

National Statistics Office

1.2. Contact organisation unit

Environment, Agriculture and Fisheries Statistics

1.5. Contact mail address


2. Statistical presentation Top
2.1. Data description

Main characteristics

2.1.1 Describe shortly the main characteristics of the statistics  

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


Reference period

2.1.2 Reference period of the data collection 

2022


National legislation

2.1.3 Is there a national legislation covering these statistics?  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 on data description

2.2. Classification system

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

2.3. Coverage - sector

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

2.4. Statistical concepts and definitions

Total quantities and the corresponding value of all fishery products landed in the reporting country are to be reported, regardless of the nationality of the vessel making the landings. Landings by vessels of the reporting country in foreign ports are excluded. Details on product presentation and intended use are required, as well as vessel nationality.

'Community fishing vessels' means fishing vessels flying the flag of an EU Member State and registered in the Community.

'EFTA fishing vessels' means fishing vessels flying the flag of, or registered in, an EEA EFTA country.

'Unit value' means the value at the first sale of the fishery products landed (in national currency) divided by the quantity landed (in tonnes), or for fishery products not immediately sold, the average price per tonne in national currency, estimated using an appropriate method.

Landed quantities are expressed in Tonnes Product Weight.

Unit values are reported as unit price in national currency per tonne.

2.5. Statistical unit

The basic statistical units are the individual fishing vessels.

2.6. Statistical population

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

2.7. Reference area
2.7.1 Geographical area covered

The entire territory of the country.

2.7.2 Which special Member State territories are included?

The entire territory of the country

2.8. Coverage - Time

2022

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

2

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"

1

3.1.4 Total number of sources of the type "Administrative source"

1

3.1.5 Total number of sources of the type "Experts"

0

3.1.6 Total number of sources of the type "Other sources"

0


Census

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


Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 3.1 of the annexed Excel file 
3.1.15 Name/Title

Catch Assessment Survey

3.1.16 Name of Organisation responsible

Department of Fisheries and Aquaculture within the Ministry of Agriculture, Fisheries and Animal rights

3.1.17 Main scope

To monitor catch fleet data of vessels less than 10m

3.1.18 Marine fishing areas covered Mediterranean and Black Sea
3.1.19 List used to build the frame

All registered fishing vessels less than 10m

3.1.20 Any possible threshold values

no thresholds

3.1.21 Population size

715

3.1.22 Sample size

73 (±10% of the population per Qtr.)

3.1.23 Sampling basis List
3.1.24 If Other, please specify
3.1.25 Type of sample design Stratified
3.1.26 If Other, please specify
3.1.27 If Stratified, number of strata

5

3.1.28 If Stratified, stratification criteria Other
3.1.29 If Other, please specify

Based on the fleet segmentation according to the gears registered

3.1.30 Additional comments

No other comments


Administrative source

These questions only apply to administrative sources. If there is more than one administrative source, please describe the main source below and the additional ones in table 3.1 of the annexed Excel file 
3.1.31 Name/Title

Logbooks and Sales

3.1.32 Name of Organisation responsible

Department of Fisheries and Aquaculture

3.1.33 Contact information (email and phone)

Dr. Jurgen Mifsud - jurgen.a.mifsud@gov.mt

Ms Claire Abela - claire.b.abela@gov.mt

3.1.34 Main administrative scope

To control and monitor catch and fleet data

3.1.35 Geospatial Coverage National
3.1.36 Type of administrative documents collected Paper Logbooks
Electronic logbooks
Sales notes
Other
3.1.37 If Other, please specify

Automated Weighing and Labelling System (AWLS)

3.1.38 Are these documents in accordance with the rules set in the current EU Regulations (EC) 1224/2009 and (EU) 404/2011 for each of your fleet segments? Yes
3.1.39 If partially, which rules are not applied?
3.1.40 Are landing data for vessels under 10 metres long collected? Yes
3.1.41 Is the Electronic Reporting System (ERS) used for vessels above 12 meters as foreseen in Regulations (EC) 1224/2009 and (EU) 404/2011? Yes
3.1.42 Is the Vessel Monitoring System (VMS) used for vessels above 12 meters as foreseen in Regulations (EC) 1224/2009 and (EU) 404/2011? Yes
3.1.43 Marine fishing areas covered Mediterranean and Black Sea
3.1.44 Update frequency Continuous
3.1.45 Legal basis

EU Regulations: Control Regulation (EU) 1224/2009 and Implementation Regulation (EU) 404/2011

3.1.46 Are you able to access directly to the micro data? Yes
3.1.47 Are you able to check the plausibility of the data, namely by contacting directly the units? Yes
3.1.48 How would you assess the proximity of the definitions and concepts (including statistical units) used in the administrative source with those required in the EU regulation? Good
3.1.49 Please list the main differences between the administrative source and the statistical definitions and concepts

Not applicable

3.1.50 Is a different threshold used in the administrative source and statistical data? No
3.1.51 If Yes, please specify
3.1.52 Additional comments


Experts

If there is more than one Expert source, please describe the main one below and the additional ones in table 3.1 of the annexed Excel file 
3.1.53 Name/Title

Not applicable

3.1.54 Primary purpose

Not applicable

3.1.55 Legal basis

Not applicable

3.1.56 Update frequency
3.1.57 Expert data supplier
3.1.58 If Other, please specify

Not applicable

3.1.59 How would you assess the quality of those data?
3.1.60 Additional comments

Not applicable


Other sources

If there is more than one other statistical activity, please describe the main one below and the additional ones in table 3.1 of the annexed Excel file 
3.1.61 Name/Title

Not applicable

3.1.62 Name of Organisation

Not applicable

3.1.63 Primary purpose

Not applicable

3.1.64 Data type
3.1.65 If Other, please specify

Not applicable

3.1.66 How would you assess the quality of those data?
3.1.67 Additional comments

Not applicable

 

3.2. Frequency of data collection

Quarterly

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

Catch Assessment Survey

3.3.9 Methods of data collection Face-to-face interview
Telephone interview
3.3.10 If Other, please specify
3.3.11 If face-to-face or telephone interview, which method is used? Paper questionnaire
3.3.12 Data entry method, if paper questionnaires? Manual
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

Logbooks and Sales

3.3.16 Extraction date

2022

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

Paper logbooks, AWLS, and Sales are manually inputted in the system. Electronic logbooks are received in the system through the VMS. All the data is extracted from the database as a report. 

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

Not applicable

3.3.21 Methods of data collection

Not applicable

3.3.22 Additional comments

Not applicable



Annexes:
Catches questionnaire
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
Outliers
3.4.3 If Other, please specify
3.5. Data compilation
3.5.1 Describe the data compilation process

Malta uses both logbooks and sales as data sources. By using information from logbooks, Malta is able to provide data on commercial catches. Moreover, Malta uses the Fish Market Sales Notes Scheme together with the logbooks to provide data according to the different Regulation. All information on sold fish is registered and stored in the fish market sales notes database and includes amongst other the vessels registration number, the landing place, the date and buyer, species, weight and the wholesale value. The sales notes scheme is considered to obtain data on the weight and wholesale value of fish landings that are sold at the official fish market.

For vessels less than 10m in length the small scale catch assessment sampling survey is employed. This specific sampling survey is carried out to estimate catches related to the small-scale fishing fleet. Data is collected to estimate the overall annual commercial catches of these fishing vessels by species, and to distinguish the geographical origin of the catch, for all the stocks, and according to the subdivisions defined.

The fishing area covered is the GFCM’s Geographical Sub-Area 15.

3.5.2 Which conversion factors were used from tonnes product weight (TPW) to tonnes live weight (TLW)? EU conversion factors
3.5.3 Additional comments

Not applicable

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? No
4.1.2 If yes, how is it implemented?

Not applicable

4.1.3 Has a peer review been carried out? No
4.1.4 If Yes, which were the main conclusions?

Not applicable

4.1.5 What quality improvements are foreseen? Improve data validation
4.1.6 If Other, please specify

Not applicable

4.1.7 Additional comments

Not applicable

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

Not applicable

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

Not applicable

5.1.3 Additional comments

Not applicable

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

2014

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

100%

5.3.2 If not complete, which characteristics are missing?
5.3.3 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

Not applicable

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

Catch Assessment Survey

6.2.2 Methods used to assess the sampling error Relative standard error
6.2.3 If Other, please specify
6.2.4 Methods used to derive the extrapolation factor Basic weight
6.2.5 If Other, please specify
6.2.6 If coefficients of variation are calculated, please describe the calculation methods and formulas

CVs are calculated as per DCF Guidelines AR version 2013. 

6.2.7 Sampling error - indicators

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

6.2.8 Additional comments


Annexes:
ESQRS Annex for landings
6.3. Non-sampling error

See sections below.

6.3.1. Coverage error

Census

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

Not applicable.

6.3.1.13 Additional comments


Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file 
6.3.1.14 Name/Title

Catch Assessment Survey

Over-coverage
6.3.1.15 Does the sample frame include wrongly classified units that are out of scope? No
6.3.1.16 What methods are used to detect the out-of scope units?

Not applicable since the sample is taken from the fishing register

6.3.1.17 Does the sample frame include units that do not exist in practice? No
6.3.1.18 Over-coverage - rate

0 %

6.3.1.19 Impact on the data quality None
Under-coverage 
6.3.1.20 Does the sample frame include all units falling within the scope of this survey? Yes
6.3.1.21 If Not, which units are not included?
6.3.1.22 How large do you estimate the proportion of those units? (%)

0

6.3.1.23 Impact on the data quality None
Misclassification
6.3.1.24 Impact on the data quality None
Common units 
6.3.1.25 Common units - proportion

Not applicable.

6.3.1.26 Additional comments


Administrative data

These questions only apply to administrative sources. If there is more than one administrative source, please describe the main source below and the additional ones in table 6.3 of the annexed Excel file 
6.3.1.27 Name/Title of the administrative source

Logbooks and Sales

Over-coverage
6.3.1.28 Does the administrative source include wrongly classified units that are out of scope? No
6.3.1.29 What methods are used to detect the out-of scope units?

Not applicable

6.3.1.30 Does the administrative source include units that do not exist in practice? No
6.3.1.31 Over-coverage - rate

0%

6.3.1.32 Impact on the data quality None
Under-coverage
6.3.1.33 Does the administrative source include all units falling within the scope of this survey? Yes
6.3.1.34 If Not, which units are not included?

Not applicable

6.3.1.35 How large do you estimate the proportion of those units? (%)

0%

6.3.1.36 Impact on the data quality None
Misclassification 
6.3.1.37 Impact on the data quality None
6.3.1.38 Additional comments
6.3.2. Measurement error

Census

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


Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file 
6.3.2.12 Name/Title

Catch Assessment Survey

6.3.2.13 Is the questionnaire based on usual concepts for respondents? Yes
6.3.2.14 Number of surveys already performed with the current questionnaire?

12

6.3.2.15 Preparatory testing of the questionnaire? No
6.3.2.16 Number of units participating in the tests? 

0

6.3.2.17 Explanatory notes/handbook for surveyors/respondents?  Yes
6.3.2.18 On-line FAQ or Hot-line support for surveyors/respondents? No
6.3.2.19 Are there pre-filled questions? No
6.3.2.20 Percentage of pre-filled questions out of total number of questions

0%

6.3.2.21 Other actions taken for reducing the measurement error?

Not applicable

6.3.2.22 Additional comments
6.3.3. Non response error

Census

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


Sample survey

These questions only apply to surveys. If there is more than one survey, please describe the main survey below and the additional ones in table 6.3 of the annexed Excel file 
6.3.3.11 Name/Title of the survey

Catch Assessment Survey

6.3.3.12 Unit non-response - rate

0

6.3.3.13 How do you evaluate the recorded unit non-response rate in the overall context? Very low
6.3.3.14 Measures taken for minimising the unit non-response Reminders
Other
6.3.3.15 If Other, please specify

Non response vessels are replaced by another vessel

6.3.3.16 Item non-response rate

0

6.3.3.17 Item non-response rate - Minimum

0

6.3.3.18 Item non-response rate - Maximum

0

6.3.3.19 Which items had a high item non-response rate? 

Not applicable

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

Catch Assessment Survey

6.3.4.7 Imputation - rate

0

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

Data transmitted is final and will not be revised.

6.6. Data revision - practice
6.6.1 Data revision - average size

None

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?

Not applicable

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?

April 2023

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

April 2023

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

Data was published as part of other indicators.

7.2.4 Number of days between the national release date of data and the target date
7.2.4. Punctuality - delivery and publication


8. Coherence and comparability 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

2007

8.2.2 Have there been major breaks in the time series? Yes
8.2.3 If Yes, please specify the year of break and the reason

In 2015, there was a change in the methodology of how the landings data were being compiled from the Department of Fisheries and Aquaculture.

8.2.4 Additional comments
8.3. Coherence - cross domain
8.3.1 With which other national data sources have the data been compared? Catch data
8.3.2 If Other, please specify

Not applicable

8.3.3 Describe briefly the results of comparisons

The landings data and catch data transmitted to Eurostat are the same except that in the landings data we include the data of the foreign vessels

8.3.4 If no comparisons have been made, explain why
8.3.5 Additional comments
8.4. Coherence - sub annual and annual statistics

Not applicable.

8.5. Coherence - National Accounts

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? 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 applicable

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
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 applicable

9.7.2 Metadata - consultations

Not applicable

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 if compared to the previous quality report None
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? 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
At National level: Confidentiality is one of the major principles guiding the activities of the NSO.
 
Article 40 of the MSA Act stipulates the restrictions on the use of information and in Article 41, the prohibition of disclosure of information. Furthermore, Section IX of the Act (Offences and Penalties) lays down the measures to be taken in case of unlawful exercise of any officer of statistics regarding confidentiality of data. No cases of breaches in the law have been recorded to date.
 
Since its inception, the NSO has always operated within a culture of strict confidentiality to which it is also bound by the provisions of the Data Protection Act. This Act, which came fully into effect on July 15, 2003, seeks to protect individuals against the violation of their privacy by the processing of personal data. 
11.2. Confidentiality - data treatment
11.2.1 Describe the procedures for ensuring confidentiality during dissemination

No data is published locally.

11.2.2 Additional comments


12. Comment Top


Related metadata Top


Annexes Top
ESQRS_ANNEX_MT