1. Validation process and the IT tools used at KAS
Kosovo Agency of Statistics
Validation process and the IT tools used at KAS
IPA training course on Data Validation in the ESS
Burim Limolli, Head of Information Systems
Mentor Shala, IT expert
Luxembourg, May 2017

2. DATA PROCESSING PHASES
Data processing phases after KAS recuperate the completed materials from the field, further activities consiste in codification, data-capture, data editing and imputations, tabulations, analyzes and the preparations for final data dissemination.

3. DATA PROVIDERS Microdata Aggregated data Surveys on the field
Population and Agriculture Censuses
Different Administrative data provided by:
Microdata
Agency for Civil Registration
Ministry of Education
Business Register Agency
Customs of Kosovo
Health Ministry
Aggregated data
Ministries
Other public institutions
Tax Administration
Central Bank of Kosovo
Ministry of Finance

4. DATA COLLECTION METHODS
CAPI
KAS DATABASE
PAPI
CAWI
PAPI
Census Population
Agriculture Census
HBS
CAPI
LFS
SILC (android tablets)
CAWI
Tourism statistics
Administrative data
Based on web services and databases replications
CAWI- Hotel Statistics-With this method a link is sent to the respondents via . They just follow the link to complete the questionnaire independently.
CAPI- LFS and SILC-Using a laptop, and tablet , the interviewer can carry on the interview and send back the answers. Data are sent to the main server of KAS.
Pacp
PAPI- CENSUSES- Personal interviews based on traditonal way (door to door) where the interviewer inputs data on paper questionare

5. SOFTWARE SOLUTION Data entry Visual Studio & SQL Server SPSS SAS
Access
LimeSurvey
Cspro
Validation
SPSS
STATA
Production
SPSS
SAS
Access
SQL Server
Dissemination and visualation
PcWeb
StatPlanet

6. PROCESS OF VALIDATION
KAS has no good picture what validations rules are used, but simply it is based on production unit that they do it manually. Usually the data quality is evaluated by different means and methods (PES, data validation, response analyses). The key quality indicators indicate that the data quality can be consider as sufficiently high and acceptable by most of the standard criteria. Those measurement errors that are identified as inconsistencies during the data validation are corrected in the data editing process. Small amount of outlying values are verified by recontacting the respondents by telephone and individually corrected, if needed. However, most of the errors are corrected by using systematic, automatic corrections. For identification and correction of the errors the custom made application, based on a ‘Meta data driven’ approach, was used. Measures used to decrease the measurement errors in most of surveys include many activities with the aim to minimize the measurement errors. The main activities in this respect are:  Testing of all instruments  Training of field staff,  Monitoring of field staff  Training of data entry staff.  Monitoring of data entry

7. Data transmission to Eurostat
eDAMIS
Different format for the data transmission
.txt
.csv
.xml
.xls

8. SDMX SDMX converter of Eurostat SDMX Central Converter of IMF
To convert Nacional Account from .xls to xml
SDMX Central Converter of IMF
Number of Population by sex, Annual Data
External Trade
Nacional Account
CPI
PPI
LFS

9. Dissemination
Dissemination format Data accessible on the website as well as publications are available free of charges to the public. Some publications are whether in paper-format whether in pdf format also on-line access is ensured through the ASKDATA based on PC-Axis system accessible from the KAS website

10. Do you have any questions? THANK YOU FOR YOUR ATTENTION!