1. Dr. Mojca Noč Razinger SURS mojca.noc@gov.si Data collection in the Statistical Office of the Republic of Slovenia (SURS)

2. 1.Current organisation –Business entities –Administrative sources –Persons, households and farms 2.Lessons learned 3.Future plans Outline 2 Seminar New Frontiers in Data Collection, Geneve, 2 November 2012

3. Current organisation SURS organisation (cooperation) –Subject matter divisions (macroeconomic, business, demography, environmental) –Process oriented divisons (IT, general methodology, data collection, dissemination) Data collection is traditionally in single division For last few “Stove pipe” processes - adjustment plan Extensive use of administrative data (census 2011) Documentation –Process flow, responsibility, communication, standardisation –Publication on execution of statistical surveys quality guidelines (GSBPM as reference) Seminar New Frontiers in Data Collection, Geneve, 2 November 2012 3

4. Data collection Central metadata system –Work planning and guidelines by subject matter statistician –Process flow, responsibility Responsibility (subprocesses based on adapted GSBPM) –Address lists preparation –Preparation of data collection –Communication with reporting units and managing interviewers (recruitment, control and instructions) –Taking over administrative sources –Data capture and manual micro-level editing Seminar New Frontiers in Data Collection, Geneve, 2 November 2012 4

5. Business entities Address lists (source Business Register and samples) –In which surveys the business entity is included –Mode of reporting (e- or paper) –Tracking eligibility codes of entities Modes –E- reporting (partners in statistical system): wage statistics, balances, Intrastat and Extrastat –Paper –Testing phase of e-reporting system, operational in next year 5 check points: address list preparation, sending questionnaires, reporting deadline, end of data collection, data entry, manual logical controls at micro-level Seminar New Frontiers in Data Collection, Geneve, 2 November 2012 5

6. Administrative sources Register environment –Infrastructural administrative registers (CPR, BR, RTU) with uniform identification numbers (PIN, BIN, centroid) –By law we have access to all administrative records at the micro level for statistical purposes Internal regulations - defined roles of involved employees (content and technical trustee) Process (over 50 sources) – legal agreements –Time plan or notification from the administrative institution –Employee responsible for data transmission accesses the data and stores them into the controlled environment in SURS Metadata records of sources on intranet site Seminar New Frontiers in Data Collection, Geneve, 2 November 2012 6

7. Persons, households & farms Extensive data collections outsourced e.g. Farm Census - managed by subject matter statisticians Tasks –Assuring the interviewers network (recruitment, instructions and surveillance) –Organisation of data collection including data quality control Mode management (considering finances) –Preference CATI followed by sequencing order (less to more expensive) –Longitudinal surveys: first wave CAPI, other waves - sequencing –Exception: household consumption (diary) only CAPI External workforce for interviewing – government rules Seminar New Frontiers in Data Collection, Geneve, 2 November 2012 7

8. Lessons learned Business entities –Address lists (reporting unit burden): possibility coordinated sampling, establishing contact centre (communication, eligibility) –Manual to semi-automated micro-level editing –E-reporting: reorganization, modernisation, standardization Administrative sources – single entry point Persons, households & farms: turnover of interviewers effects quality – needed optimization Documentation –Possibility of regular verifications of process & quality guidelines –Internal standard for paper questionaire design - operational Seminar New Frontiers in Data Collection, Geneve, 2 November 2012 8

9. Future plans 1 Permanent: cooperation, training (internal, external) Business entities –E-reporting: response, enhancing communication –Enhance cooperation with business entities –Reduce the reporting burden - coordinated sampling –Develop new Statistical Business Register –Nonresponse - more systematically tracking New data –Search for new possible “big data” locations –Investigate data flows in the environment –Develop new standards for methodological and technical aspects of the such data collection process Seminar New Frontiers in Data Collection, Geneve, 2 November 2012 9

10. Future plans 2 Administrative sources –Ensure information security throughout the statistical processes –Improve communication with sources, e.g. tracking changes –Strengthen the cooperation and communication internally Supplement system for PIN translation into Statistical Identification Number (SIN) - adding data on names and addresses Persons, households & farms: CAWI, optimising the process and organisation New technology solutions –Optimise and standardise processes in data collection –Standardisation of input database Seminar New Frontiers in Data Collection, Geneve, 2 November 2012 10

11. Thank you Seminar New Frontiers in Data Collection, Geneve, 2 November 2012 11