Landings of fishery products (fish_ld)

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

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


Eurostat metadata
Reference metadata
1. Contact
2. Statistical presentation
3. Statistical processing
4. Quality management
5. Relevance
6. Accuracy and reliability
7. Timeliness and punctuality
8. Coherence and comparability
9. Accessibility and clarity
10. Cost and Burden
11. Confidentiality
12. Comment
Related Metadata
Annexes (including footnotes)
 



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1. Contact Top
1.1. Contact organisation

Statistical Office of the Republic of Slovenia (SURS)
1.2. Contact organisation unit

Department for Agriculture, Forestry, Fishing and Hunting statistics.
1.5. Contact mail address

SURS, Litostrojska cesta 54, 1000 Ljubljana


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?  Yes
If Yes, please answer all the following questions.   
2.1.4 Name of the national legislation 

National Statistics Act(OJ RS, No. 45/95 and 9/01), Annual Programme of Statistical Surveys (LPSR) (only in Slovene)

Marine Fisheries Act (OJ RS, No. 115/06, 76/15 and 69/17) and Decree on the monitoring of catches and sales of fisheries products (OJ RS, No. 2/13 and 38/16).
2.1.5 Link to the national legislation 

http://www.stat.si/dokument/5186/NationalStatisticsAct.pdf

https://www.uradni-list.si/glasilo-uradni-list-rs/vsebina/2022-01-2812?sop=2022-01-2812

http://pisrs.si/Pis.web/pregledPredpisa?id=ZAKO4367   

http://pisrs.si/Pis.web/pregledPredpisa?id=URED6655

 

 
2.1.6 Responsible organisation for the national legislation 

Statistical Office of the Republic of Slovenia, Ministry of Agriculture, Forestry and food
2.1.7 Year of entry into force of the national legislation 

National Statistic Act: 1995 and 2001,

Medium-Term Programme of Statistical Surveys for 2023 - 2027

Annual Programme of Statistical Surveys: in 2018 for 2019

National legislation in fishery: 2006, 2013 and 2016 
2.1.8 Please indicate which variables required under EU regulation are not covered by national legislation, if any.

All variables requared under EU legislation are covered by national legislations.

 
2.1.9 Please indicate which national definitions differ from those in the EU regulation, if any. 

Only difference between national and EU legislation is that in Slovenia all vessels are obliged to fulfill and report logbooks, including vessels under 10 m LOA.

 
2.1.10 Is there a legal obligation for respondents to reply?  Yes


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 corresponding value of all fishery products landed in the reporting country are to be reported, regardless of the vessel's nationality. Landings by vessels of the reporting country in foreign ports are excluded. Details on product presentation and intended use and vessel nationality are required.
'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 of Product Weight.
Unit values are reported as unit prices in national currency per tonne.
2.5. Statistical unit

The basic statistical unit is the individual fishing vessel.
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?

We don't have any special territory.
2.8. Coverage - Time

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

Here are two data sources.
The breakdown is as follows: 
3.1.2 Total number of sources of the type "Census"

For obtaining the data on fish product prices the data from "Census for collection of economic and social data for fisheries" are used.

 
3.1.3 Total number of sources of the type "Sample survey"

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

For data on landed fish products the Slovenian data base InfoRib is used.
3.1.5 Total number of sources of the type "Experts"

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

Zero.


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

Census for collection of economic and social data for fisheries (fish product price data collection)

 
3.1.8 Name of Organisation responsible

Fisheries research institute of Slovenia

 
3.1.9 Main scope

Collection of fisheries socio-economics data under DCF regulations.

 
3.1.10 Marine fishing areas covered Mediterranean and Black Sea
3.1.11 List used to build the frame

The Slovenian data base InfoRib (landings declatarions and sales notes).

 
3.1.12 Any possible threshold values

No.

 
3.1.13 Population size

All population is covered. In 2022 here were 131 active fishing vessels.

 
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
3.1.16 Name of Organisation responsible
3.1.17 Main scope
3.1.18 Marine fishing areas covered
3.1.19 List used to build the frame
3.1.20 Any possible threshold values
3.1.21 Population size
3.1.22 Sample size
3.1.23 Sampling basis
3.1.24 If Other, please specify
3.1.25 Type of sample design
3.1.26 If Other, please specify
3.1.27 If Stratified, number of strata
3.1.28 If Stratified, stratification criteria
3.1.29 If Other, please specify
3.1.30 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 
3.1.31 Name/Title

InfoRib, centralised information system for fisheries data.

 
3.1.32 Name of Organisation responsible

Ministry of Agriculture, Forestry and Food.

 
3.1.33 Contact information (email and phone)

gp.mkgp@gov.si; +386 1 478 90 00

 
3.1.34 Main administrative scope

Centralized database for storage of fisheries data.

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

Fishing licenses, socioeconomic data, fishing activity data, etc.

 
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

Already listed in previous points.
3.1.46 Are you able to access directly to the micro data? No
3.1.47 Are you able to check the plausibility of the data, namely by contacting directly the units? No
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? Very good
3.1.49 Please list the main differences between the administrative source and the statistical definitions and concepts

There are no differences.
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

For point 3.1.42; In addition, all vessels using purse seiners and all trawlers are equipped with VMS, as well as vessels under 12 meters LOA.

For points 3.1.46 and 3.1.47; SURS obtains the data by request. Directly access to the microdata have some persons at MAFF, involved in the statistical data compilation and processing. They can check the data plausibility, too.

For point 3.1.50; We don't have any threshold.

 

 


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
3.1.54 Primary purpose
3.1.55 Legal basis
3.1.56 Update frequency
3.1.57 Expert data supplier
3.1.58 If Other, please specify
3.1.59 How would you assess the quality of those data?
3.1.60 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 
3.1.61 Name/Title
3.1.62 Name of Organisation
3.1.63 Primary purpose
3.1.64 Data type
3.1.65 If Other, please specify
3.1.66 How would you assess the quality of those data?
3.1.67 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

Census for collection of economic and social data for fisheries (fish product price data collection)

 
3.3.2 Methods of data collection Postal questionnaire
Telephone interview
Other
3.3.3 If Other, please specify

On-site visit

 
3.3.4 If face-to-face or telephone interview, which method is used? Paper questionnaire
Electronic questionnaire
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)

This questionnaire is only in the Slovene language.

 
3.3.7 Additional comments

The questionnaire is only in the Slovene language.

Its purpose is to collect data on the socio-economic status of Slovene fishery. Only one question is important for landing statistics. That is the question on the prices of sold fish products.

 


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

InfoRib, information system for fisheries data.
3.3.16 Extraction date

31. March of n+1 reference year.
3.3.17 How easy is it to get access to the data? Access granted upon a simple request
3.3.18 Data transfer method

More different data formats are possible to use for exporting and transferring them.

Generally, the Excel data files are used.
3.3.19 Additional comments

Here is arrangement that SURS obtain agregated data by ASFIS/FAO fish product code.


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
Consistency
3.4.3 If Other, please specify
3.5. Data compilation
3.5.1 Describe the data compilation process

After entering in electronic form all data have two steps of controls: expert checking and processing some electronic logical controls. As control data sets the data from the annual accounts of business enterprises are applied or previous data sets from the InfoRib data base.

 
3.5.2 Which conversion factors were used from tonnes product weight (TPW) to tonnes live weight (TLW)? None
3.5.3 Additional comments

Because the caught marine animals are not processed on the Slovene fishing vessels (they are not eviscerated, filleted, iced, etc.), we don't need to use any conversion factor.

 
3.6. Adjustment

No 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?

Landing statistics are compiled to meet the administrative and statistical data needs. All management system is organized to reduce as much as possible the reporting burden and to minimize the double work at the different governmental institutions.
4.1.3 Has a peer review been carried out? No
4.1.4 If Yes, which were the main conclusions?
4.1.5 What quality improvements are foreseen? 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

Up till now, data satisfied our data users without their remarks regarding the extent and the quality of the available data.
5.1.2 Please specify any plans to satisfy needs more completely in the future

At the moment we do not have any plans in this field.
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
5.3. Completeness
5.3.1 Data completeness - rate

In a sense of required variables data are complete (100%).
5.3.2 If not complete, which characteristics are missing?
5.3.3 Additional comments Restricted from publication


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 Methods used to derive the extrapolation factor
6.2.5 If Other, please specify
6.2.6 If coefficients of variation are calculated, please describe the calculation methods and formulas
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
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

Census for collection of economic and social data for fisheries (fish product price data collection)

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

None.
6.3.1.4 Does the sample frame include units that do not exist in practice? No
6.3.1.5 Over-coverage - rate

None
6.3.1.6 Impact on the data quality None
Under-coverage
6.3.1.7 Does the sample frame include all units falling within the scope of this survey? Yes
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 None
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
Over-coverage
6.3.1.15 Does the sample frame include wrongly classified units that are out of scope?
6.3.1.16 What methods are used to detect the out-of scope units?
6.3.1.17 Does the sample frame include units that do not exist in practice?
6.3.1.18 Over-coverage - rate
6.3.1.19 Impact on the data quality
Under-coverage 
6.3.1.20 Does the sample frame include all units falling within the scope of this survey?
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? (%)
6.3.1.23 Impact on the data quality
Misclassification
6.3.1.24 Impact on the data quality
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

InfoRib, information system for fisheries data
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?

The list of fishermen's licenses is used to control out-of-scope units.
6.3.1.30 Does the administrative source include units that do not exist in practice? No
6.3.1.31 Over-coverage - rate

Our calculations are based on log-books. It means that unappropriate units are not present in this data set.
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?
6.3.1.35 How large do you estimate the proportion of those units? (%)
6.3.1.36 Impact on the data quality
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

Census for collection of economic and social data for fisheries (fish product price data collection)
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?

16 times (one per year, started in 2007)
6.3.2.4 Preparatory testing of the questionnaire? No
6.3.2.5 Number of units participating in the tests? 
6.3.2.6 Explanatory notes/handbook for surveyors/respondents?  No
6.3.2.7 On-line FAQ or Hot-line support for surveyors/respondents? No
6.3.2.8 Are there pre-filled questions? No
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
6.3.2.13 Is the questionnaire based on usual concepts for respondents?
6.3.2.14 Number of surveys already performed with the current questionnaire?
6.3.2.15 Preparatory testing of the questionnaire?
6.3.2.16 Number of units participating in the tests? 
6.3.2.17 Explanatory notes/handbook for surveyors/respondents? 
6.3.2.18 On-line FAQ or Hot-line support for surveyors/respondents?
6.3.2.19 Are there pre-filled questions?
6.3.2.20 Percentage of pre-filled questions out of total number of questions
6.3.2.21 Other actions taken for reducing the measurement error?
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

Census for collection of economic and social data for fisheries (fish product price data collection)
6.3.3.2 Unit non-response - rate

In 2022 the response rate of active fishermans was 100% overall response rate as 97%.
6.3.3.3 How do you evaluate the recorded unit non-response rate in the overall context? Moderate
6.3.3.4 Measures taken for minimising the unit non-response Follow-up interviews
Imputation
6.3.3.5 If Other, please specify
6.3.3.6 Item non-response rate

Item non-response rate was about 3%.

 
6.3.3.7 Item non-response rate - Minimum

Item non-response rate was about 3%.
6.3.3.8 Item non-response rate - Maximum

Item non-response rate was about 3%.
6.3.3.9 Which items had a high item non-response rate? 

The item non-response rate is related to the variable on the fish product prices.

 
6.3.3.10 Additional comments

Regarding the landing statistics in this questionnaire we collect only the data on the fish product prices (one variable).

Measurement unit of Slovene landings is kilogram. Among other it influences on the item non response value.

 


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
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

Census for collection of economic and social data for fisheries (fish product price data collection)
6.3.4.2 Imputation - rate

Imputation rate was about 3%.

 
6.3.4.3 Imputation - basis Similar units
Same unit in previous data
6.3.4.4 If Other, please specify
6.3.4.5 Additional comments

Slovenia estimates the missing data using method of extrapolation based on previous data.

 

 


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

A planned revision of landing statistics data is not expected. The first release of this data was the release of the final data.

Unplanned data revisions are performed regarding the needs of data. All data revisions, which had been performed in the past, are stated in our Methodological explanation. Last corrected data are always included in our database with stated explanations below published data tables.
6.6. Data revision - practice
6.6.1 Data revision - average size

Data for 2022 are not revised.
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?

In June (n+1) year.

For 2022 data were published on 29, June 2023.
7.1.2 When were  the final results for the reference period published?

Final results are published in the First release of this data (time lag is zero).
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)? 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 national release date of data and the target date

Zero.
7.2.4. Punctuality - delivery and publication

Zero.


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

For data on landing quantity the length of comparable time series is 15 years.

For data on the prices of landed fish products, the time series length is 15 years.
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

Break year was 2010.

Up to 2009, the Statistical Office of the Republic of Slovenia collected the data on average prices of fishery products only for some fish products. From 2010 onward the Fisheries Research Institute of Slovenia started to collect these data for all fish products.
8.2.4 Additional comments
8.3. Coherence - cross domain
8.3.1 With which other national data sources have the data been compared? Other
8.3.2 If Other, please specify

The annual accounts of business enterprises.
8.3.3 Describe briefly the results of comparisons

Income in annual accounts of enterprieses engaged in fisheries could be near the value obtained with landing statistics (total income / total catch = price per kg).
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? Yes
9.1.2 If Yes, please provide a link

https://www.stat.si/StatWeb/en/News/Index/11198

 
9.2. Dissemination format - Publications
9.2.1 Do you produce a paper publication? No
9.2.2 If Yes, is there an English version?
9.2.3 Do you produce an electronic publication? Yes
9.2.4 If Yes, is there an English version? Yes
9.2.5 Please provide a link

https://www.stat.si/StatWeb/en/News/Index/11198
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? Yes
9.3.3 Please provide a link

https://pxweb.stat.si/SiStat/en/Podrocja/Index/85/kmetijstvo-gozdarstvo-in-ribistvo
9.4. Dissemination format - microdata access
9.4.1 Are micro-data accessible to users? No
9.4.2 Please provide a link
9.5. Dissemination format - other

Data on landing statistics in the SI-STAT database are accessible for all users free of charge and without any other restrictions. Data could be taken over in different formats. Publication of data is allowed provided the source.
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? Yes
9.6.4 Please provide a link

https://www.stat.si/StatWeb/File/DocSysFile/8064
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 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? 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
11.2. Confidentiality - data treatment
11.2.1 Describe the procedures for ensuring confidentiality during dissemination

Not applicable.
11.2.2 Additional comments


12. Comment Top

Some additional information:

  1. Regarding the landing statistics, all tasks and duties are divided among SURS (Statistical Office), MAFF (Ministry of Agriculture, Forestry and Food), and FRIS (Fisheries Research Institute of Slovenia). It reduces the response burden of all reporting units and reduces the production costs of landing statistics for all involved organizations.

MAFF is the organization in charge of data collection for the number of landing products. It refers to administrative data sources. The responsible person has direct access to the InfoRib database.

FRIS is the organization in charge of data collection for the average prices of landing products. It refers to census data. The responsible person has direct access to the InfoRib database and the database of AJPES (Agency of the Republic of Slovenia for Public Legal Records and Related Services).

SURS obtains the data aggregated by ASFIS/FAO code and prepares them for publishing and dissemination to Eurostat and FAO.

      2. All organizations are responsible for ensuring quality, cost, and time-efficient data.

      3. All documentation and methodology of Census for collection of economic and social data for fisheries including issues related to the average prices of landed products are available in Annual implementation reports for data collection: https://datacollection.jrc.ec.europa.eu/ars

 


Related metadata Top


Annexes Top
ESQRS_ANNEX_SI