1. TAIEX Workshop: Improving data collection and the Use of the Farm Accountancy Data Network (FADN) Communication in process of data collection and data verification Kristijan JELAKOVIC Belgrade, Serbia September 15, 2016

2. Training of data collectors
TAIEX Workshop: Improving data collection and the Use of the Farm Accountancy Data Network (FADN)
Belgrade, Serbia, September 15-16, 2016
FADN web aplication
Farm recruitment
Training of data collectors
Data collection
Monitoring & evaluation
Data verification
FADN data base
AGR62009

3. Training of data collectors
TAIEX Workshop: Improving data collection and the Use of the Farm Accountancy Data Network (FADN)
Belgrade, Serbia, September 15-16, 2016
DATA COLLECTION
FADN web aplication
Farm recruitment
Training of data collectors
Data collection
Monitoring & evaluation
Data verification
FADN data base
AGR62009

4. Training of data collectors
TAIEX Workshop: Improving data collection and the Use of the Farm Accountancy Data Network (FADN)
Belgrade, Serbia, September 15-16, 2016
DATA VERIFICATION
FADN web aplication
Farm recruitment
Training of data collectors
Data collection
Monitoring & evaluation
Data verification
FADN data base
AGR62009

5. MINISTRY OF AGRICULTURE DATA COLLECTORS
TAIEX Workshop: Improving data collection and the Use of the Farm Accountancy Data Network (FADN)
Belgrade, Serbia, September 15-16, 2016
EUROPEAN COMMISSION
EXTERNAL IT EXPERTS
FADN web aplication
Farm recruitment
Training of data collectors
Data collection
Monitoring & evaluation
Data verification
FADN data base
MINISTRY OF AGRICULTURE
DATA COLLECTORS
LIAISON AGENCY
FARMERS
STATISTICAL OFFICE
ACCOUNT OFFICE
FACULTY OF AGRICULTURE
AGR62009

6. Total budget for data collection
TAIEX Workshop: Improving data collection and the Use of the Farm Accountancy Data Network (FADN)
Belgrade, Serbia, September 15-16, 2016
DATA COLLECTION - definition
Data Set (Farm Return)
Data Source (Accountancy, Administration, Holding)
Data Coverage (Population, Sample size)
Data Collectors (Accountants, Advisors, Students)
Data Tools (Paper form, Excel sheet, Application)
Total budget for data collection
AGR62009

7. DATA SET - Farm Return Table A General Information Table F Debts
Table K
Animal products and services
Table B
Type of occupation
Table G Value added tax
(VAT)
Table L
Other gainful activities
Table C
Labour
Table H
Inputs
Table M
Subsidies
Table D Assets
Table I
Crops
Table E
Quotas and other rights
Table J
Livestock production

8. FADN field of observation
TAIEX Workshop: Improving data collection and the Use of the Farm Accountancy Data Network (FADN)
Belgrade, Serbia, September 15-16, 2016
DATA COVERAGE – determination of FADN sample size
Farm population
FADN field of observation
FADN sample farms
Communication flow
LIAISON AGENCY
STATISTICAL OFFICE
MINISTRY OF AGRICULTURE
NATIONAL FADN COMMITTEE
EUROPEAN COMMISSION
AGR62009

9. DATA COLLECTION – source of data
TAIEX Workshop: Improving data collection and the Use of the Farm Accountancy Data Network (FADN)
Belgrade, Serbia, September 15-16, 2016
DATA COLLECTION – source of data
Farm Accounts (bookkeeping)
Income tax system
Small, medium and large companies
Farmer Log-books
Family farms not in taxation system
Administrative records (farm register)
External sources (banks, suppliers)
Physical information mostly from farmers or administrative registers, financial information from accounts
Communication flow
LIAISON AGENCY
DATA COLLECTOR
FARMER
ACCOUNTANCY OFFICE
AGR62009

10. DATA COLLECTION – requirements for data collectors
TAIEX Workshop: Improving data collection and the Use of the Farm Accountancy Data Network (FADN)
Belgrade, Serbia, September 15-16, 2016
DATA COLLECTION – requirements for data collectors
well informed about the principals and objective of FADN system
familiar with the content of the survey
trained how to use tools for data collection and data verification
able to plan and organize working hours in time of data collection due to other duties
good cooperation with the farmer and/or accountancy office
Communication flow
LIAISON AGENCY
DATA COLLECTOR
AGR62009

11. DATA COLLECTION – bottlenecks
TAIEX Workshop: Improving data collection and the Use of the Farm Accountancy Data Network (FADN)
Belgrade, Serbia, September 15-16, 2016
DATA COLLECTION – bottlenecks
Communication flow
LIAISON AGENCY
DATA COLLECTOR
(ADVISORY SERVICE)
AGR62009

12. DATA COLLECTION – data collectors obligations
TAIEX Workshop: Improving data collection and the Use of the Farm Accountancy Data Network (FADN)
Belgrade, Serbia, September 15-16, 2016
DATA COLLECTION – data collectors obligations
to know how to use different (IT) tools for data collection and data verification
to retain existing and/or recruit new holdings
to collect more than physical, structural, economical and financial data from farmers and/or accountancy offices
to complete the individual data set
to eliminate errors, make corrections or write explanations
to verify and confirm data
AGR62009

13. DATA COLLECTION - organization
TAIEX Workshop: Improving data collection and the Use of the Farm Accountancy Data Network (FADN)
Belgrade, Serbia, September 15-16, 2016
DATA COLLECTION - organization
training of data collectors before beginning of data collection (selection plan and preparation for data collection)
retention/recruitment of holdings (1st farm visit)
data collection process (2nd and 3rd farm visit)
providing remote assistance and manuals (Liaison Agency)
data correction (4th farm visit)
data explanation and data verification (back office)
training of data collectors after the end of data collection (state of the art and lessons learned)
AGR62009

14. DATA VERIFICATION Level of data entry After data collection
TAIEX Workshop: Improving data collection and the Use of the Farm Accountancy Data Network (FADN)
Belgrade, Serbia, September 15-16, 2016
DATA VERIFICATION
Level of data entry
different levels of errors and warnings
warnings require explanations
explanations are checked and approved
After data collection
odd data should be re-checked and explained
RICA-1 surrounding
system, critical, severe error, anomaly, warning
AGR62009

15. DATA COLLECTOR/ ACCOUNTANCY OFFICE
TAIEX Workshop: Improving data collection and the Use of the Farm Accountancy Data Network (FADN)
Belgrade, Serbia, September 15-16, 2016
DATA VERIFICATION – communication flow
Level of data entry
limits and cross-checks should be incorporated in application
errors are corrected by data collector
warnings require explanations by data collector/accountancy office
explanations are checked and approved by administrator
Communication flow
LIAISON AGENCY
DATA COLLECTOR/ ACCOUNTANCY OFFICE
AGR62009

16. DATA COLLECTOR/ ACCOUNTANCY OFFICE
TAIEX Workshop: Improving data collection and the Use of the Farm Accountancy Data Network (FADN)
Belgrade, Serbia, September 15-16, 2016
DATA VERIFICATION – communication flow
After data collection
additional visual and logical controls done by administrators
yields and prices are calculated by administrators
odd data are re-checked and additionally explained by data collector/accountancy office
if necessary, farm visit is required
Communication flow
LIAISON AGENCY
DATA COLLECTOR/ ACCOUNTANCY OFFICE
AGR62009

17. DATA VERIFICATION – communication flow
TAIEX Workshop: Improving data collection and the Use of the Farm Accountancy Data Network (FADN)
Belgrade, Serbia, September 15-16, 2016
DATA VERIFICATION – communication flow
RICA-1 surrounding
system errors are corrected by administrators
severe and critical errors are corrected by data collectors and administrators
warnings and anomalies are justified by data collectors
farm visit when required
Communication flow
LIAISON AGENCY
DATA COLLECTOR
EUROPEAN COMMISSION
AGR62009

18. Recommendations based on best practice
TAIEX Workshop: Improving data collection and the Use of the Farm Accountancy Data Network (FADN)
Belgrade, Serbia, September 15-16, 2016
Recommendations based on best practice
Existing accounts can only be used where they are available
Use of IT tools for data collection and data validation
Carry out validation checks at multiple points
Use data collection staff able to detect and eliminate elementary errors and incompatibilities
Use electronic data entry on farm level
Eliminate paper form of questionnaire
Remote assistance and administrators are crucial
AGR62009

22. THANK YOU FOR ATTENTION