IPSC - Institute for the Protection and Security of the Citizen Ispra - Italy Joint.

IPSC - Institute for the Protection and Security of the Citizen

Ispra - Italy

http://ipsc.jrc.ec.europa.eu/

https://datacollection.jrc.ec.europa.eu/

Joint Research Centre (JRC)

CHALLENGES IN CHALLENGES IN ASSEMBLING FISHERIES DATAASSEMBLING FISHERIES DATA

9th Meeting of Marine Observation and Data Expert Group, Copenhagen, 26 May 2010 1

Anna Cheilari

29th Meeting of Marine Observation and Data Expert Group, Copenhagen, 26 May 2010

Background

Commission Regulation (EC) No. 665/2008 establishes the Data Collection Framework (DCF), a Community framework for the collection, management and use of data in the fisheries sector and support for scientific advice regarding the Common Fisheries Policy (CFP). This regulation succeeds the old DCR

Under this regulation the European Commission requires Member States to collect data on Biological and Economic aspects of many European fisheries and related fisheries sectors


Background

DG MARE - JRC Administrative arrangementSUPPORT THE IMPLEMENTATION OF THE DATA

COLLECTION FRAMEWORK (DCF)

Maintaining and developing the dedicated DCF web-site https://datacollection.jrc.ec.europa.eu/

Supporting demands of data launched by DG MARE Developing quality assurance aspects of the data

submitted by Member States


Background

Year Economic Discard Biological Fishing Effort

2006 5 1

2007 2 2

2008 2 1 2 1

2009 2* 2 2

2010 2* 2 1

* One call is for the EU fishing fleet, the other for the EU processing sector

Data calls


Official letters

Framework


Upload facilitieshttps://datacollection.jrc.ec.europa.eu/

Access is restricted to Member States

LoginPassword

Framework


Framework

Data base The uploaded national data is stored in

a Postgres database The database allows for data

processing in SQL To support non-experienced users a

number of queries (data tables) are produced

By distributing user names and passwords these could be downloaded by our collaborators in DG MARE in an easy manner


Use of data

Framework

JRC collects and maintains fisheries management data transmitted by EU MS

The resulting datasets are assessed by teams of independent experts participating in working groups convened by STECF

The resulting scientific advice is used to inform the CFP decision making process


Reports

Framework


Economic data collection

Parameters for fleet economic data calls:Capacity: Number of vessels, number of enterprises,

length, GT, kW, age.Employment: Engaged crew, FTEsEffort: Days at sea, energy consumptionLandings: Value, volume, priceOther income: Income from fishing rights, direct

subsidies, non fishing incomeExpenditure: Crew wages, energy costs, repairs,

variable & non-variable costs, rental of fishing rights, depreciation

Capital and Investments: Vessel value, fishing rights value, in-year investments, financial position


Economic data collection

Segmentation for fleet economic data calls:

Fishing gears: Beam trawl, demersal trawl, pelagic trawl, dredgers, purse seiners, pots and traps, gears using hooks, drift and fixed nets etc

Length categories: 0-10m, 10m-12m, 12m-18m, 18m-24m, 24m-40m, over 40m (0-6m and 6-12m in Mediterranean and Black seas)

Supra regions: 1. Baltic Sea, North Sea, Eastern Arctic, North Atlantic. 2. Mediterranean and Black Seas. 3. Other fishing regions


Fishing effort data collection

STECF “EFFORT DATA” Data base Since 2003 DG MARE calls:- fleet specific catch data including discards- fleet specific nominal effort data- spatial fleet specific effective effort data

• The data have not been called through the European DCR/DCF (JRC) as the aggregation level is inconsistent with official regulations

• Data were called to be delivered to DG Mare directly and Mr. Raetz personally


Fishing effort data collection

STECF “EFFORT DATA” Data base- fleet specific catch data including discards: Landings, discards and biological data (160 parameters, age composition, mean length and weight at age) by species, by year (2003-2008), by quarter area (all ICES divisions, no Black and Mediterranean Seas), by gear, by mesh size (where applicable), by fishery and special management condition (where applicable), 630,000 records- fleet specific nominal effort data: kW*days at sea, GT*days at sea and number of vessel by year (2000-2008), by quarter area (all ICES divisions, no Black and Mediterranean Seas), by gear, by mesh size (where applicable), by fishery and special management condition (where applicable), 80,000 records- spatial fleet specific effective effort data: fished hours by statistical rectangle (30*30 nm), by year (2000-2008), by quarter area (all ICES divisions, no Black and Mediterranean Seas), by gear, by mesh size (where applicable), by fishery and special management condition (where applicable) , 220,000 records


Mediterranean data collection

Mediterranean Data dase• European Community is expected to establish long-

term management plans (LTMP) for relevant Mediterranean demersal and small pelagic fisheries and stocks

• Stocks and fisheries in the Mediterranean are evaluated both at national and GFCM level; these evaluations are often not recurring, are spatially restricted

• Commission has given mandate to STECF to adopt an operational work-programme with a view to update the status of the main stocks and evaluate the exploitation levels



Datai) Fisheries data (2002-2010)

Biological (landings, length & age distribution, maturity data by age and length, sex ratio by age and length, discards & discards length distribution)Effort (days, KW days, GT days)

ii) Survey dataDemersal species (MEDITS) (1994-2010)Small pelagic species (hydroacoustic) (1990-2010)

iii) Economic data (capacity, employment, income, expenditure, capital and investment, effort and landings) (2002-2008 mandatory, 2009 if available)



Species: • European hake• Red mullet• Striped red mullet• Picarel• Deep-sea rose shrimp• Red shrimp• Giant red shrimp• Norway lobster• Anchovy• Sardine • + additional species

7 countries

AreaGFCM GSAs



Variable Group Variables Biological & Transversal Data

Landings Number Weight Length distribution Age distribution

Maturity ogive At length At age

Growth parameters Von Bertalanffy growth parameters

Length-weight relationship parameters

Spawning period Spawning peak

Sex ratio At length At age

Discards Length distribution Age distribution

Effort Days KW Days GT Days

Survey Data MEDITS TA file TB file TC file TD file TT file

Small pelagic Length distribution Age distribution Maturity at age

Table 1: Biological and transversal variables (2002-2009) and data from surveys (1994-2010) requested



Variable Group Variables

2002-2007 (DCR) data 2008-2009 (DCF) data

Capacity Number of vessels Total GT Total kW Average age

Number of vessels Mean length Mean GT Mean kW Mean age

Employment Total Full-time Part-time FTEs

Number of engaged crew

Income Income Value of landings Income from fishing rights Direct subsidies Other income

Expenditure Crew cost Fuel cost Operational costs Capital cost Repair and maintenance

costs Fixed cost

Crew wages Value of unpaid labour Energy costs Repair costs Variable costs Non variable costs Rental from fishing rights Depreciation

Capital and Investments Borrowing Investment

Vessel replacement value Value of fishing rights In-year investments Financial position

Effort Fuel consumption Days at Sea Fishing days Energy Consumption Number of trips Number of pots and traps

Landings Price per species Weight of landings per species

Value of landings per species

Price per species

Table 2: Economic and transversal variables (2002-2008) requested



OutcomeData are used by the experts of the SGMED

working group for the assessment of the Mediterranean stocks during the various meetings since 2008

SGMED in 2009 updated the status of 59 stocks, for 18 stocks scientific advice was provided and gave recommendations regarding fisheries management reference points for some species



ProblemsLate delivery of the data call and the datasets

JRC was not able to properly check the contents and the quality of the data provided

Member states did not strictly follow the instructions, increase demand for uploading support by the JRC team

Until 2009 data were stored locally in the SGMED ftp server, in Microsoft access. No automatisms for the first quality check of the uploaded data


Regulations

Quality


Mediterranean data call

Results…Some national data deliveries hardly met minimum standards requested in the data call regarding deadlines, inconsistent codification and units of data


Mediterranean data call

Tablename CYPRUS SPAIN FRANCE GREECE ITALY MALTA SLOVENIA0 MED_01_LAN X1 MED_02_EFF X X2 MED_03_LAN_LEN X X3 MED_04_LAN_AGE X X4 MED_05_MAT_LEN X X5 MED_06_MAT_AGE X X6 MED_07_GRO X X7 MED_08_SEX_LEN X X8 MED_09_SEX_AGE X X9 MED_10_DIS X X10 MED_11_DIS_LEN X11 MED_12_DIS_AGE12 MED_13_TA X X13 MED_14_TB14 MED_15_TC15 MED_16_TD X16 MED_17_TT X17 MED_18_SP_LEN X18 MED_19_SP_AGE X19 MED_20_SP_MAT20 MED_21_CAPACITY X X X21 MED_22_EMPLOYMENT X X X22 MED_23_INCOME X X X23 MED_24_EXPENDITURE X X24 MED_25_CAPINVEST X X X25 MED_26_EFFORT X X X26 MED_27_LANDINGS X X

Overview of the current data upload (deadline: 22/05)


Discussion

Challenges

• JRC serves 4 different categories of data calls• Data calls and variables can change from year to

year• Since 2010, DCF is implemented• Huge amount of data (i.e., survey data for ≈16000

hauls, ≈ 1435000 records of length)• For the first time, possibility for JRC to keep the

data, no obligation for deletion after 20 days


Discussion

How MS hold data

• According to the regulations Member states shall ensure that primary data collected under national programmes are safely stored in computerised databases(i.e. Greek db more than 100 different tables, >70000000 records)

• No regional databases exist• No common software platform• No common codifications• Experts come to the meetings with their own data


Discussion

What users think of the process

• The reply is country specific• We are trying to create a baseline, datasets with

common codifications, aggregation levels for analysis and comparisons

• Quality remains an issue• Experts come to the meetings with their own data• When experts are involved of the collection and

submission of data the quality of data is improved• It can be frustrating!!!


Discussion

Improvements

Regarding the biological data, implementation of strict rules regarding the upload and codification of data

Implementation of automatisms for the first quality check of the uploaded data

No acceptance of data through other means (i.e. emails)


We hope we are moving to the right direction

Thank you for your attention

IPSC - Institute for the Protection and Security of the Citizen Ispra - Italy Joint.

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