Register of technical projects and questionnaires in the Basque Statistical Office

1. EUSKAL ESTATISTIKA ERAKUNDEA INSTITUTO VASCO DE ESTADÍSTICA Register of technical projects and questionnaires in the Basque Statistical Office Authors: Marina Ayestarán Elena Goni Cristina Prado Rome, July 10th, 2008

2. What is EUSTAT? • An autonomous agency established by the Basque Statistical Law of 1986. • Headquarters are located in Vitoria. Provincial offices are in Bilbao, San Sebastián and Vitoria. • Some facts: • Staff: 100 • Statistical plans completed: 6 • Annual dissemination: • Distribution > 10,000 publications • On average answers 500 petitions and 2,000 telephone requests • 1.130.000 users to web site and 4.000.000 access • Distribution of more than 140 press releases per year. • Operations done by EUSTAT in 2008: 93 + 75 as a participant • Budget 2007: 12.127.000

3. Index: 1 Legal Framework 2 Decree of Technical Projects 3 Technical Project Model 4 Registry of Technical Projects 5 Documentation Data Base (Sharepoint) 6 Conclusions

4. 1. Legal Framework

5. Legal Framework Production of Quality Statistics based on European quality Establish a documentation procedure Establish a continuous improvement plan Establish a set of quality indicators for producing statistics Eustat competency to approve technical projects on operations included in Statistical Plans and Programmes (art. 29 of the Statistics Law)

6. 2. Decree ofTechnical Projects Article 29 of the Basque Statistics Law

7. Aim TP (Technical Project) approval procedure Central Register of TPs and Questionnaires Environment • Operations included in Statistical Plans and Programmes Definition • The document that systematically includes all execution procedures for each phase of a statistical operation.

8. Production and approval Responsible Entity Eustat Leadership Report from Subdirection Approval or Denial from Eustat Entry and filing in the Central Register of TP and questionnaires

9. 3. Technical Project Model

10. Technical Project: Aims Description of each phase of the survey and its documentation Establish a set of quality indicators Establish a continuous improvement system (revisions and updates)

11. Content (art. 4) 1.-Definition, Aims and Dissemination 2.-Methodological Design 3.-Operation Execution Procedures 4.-Function and Responsibilities 5.-Quality Control Synthesis 6.-Computerization

12. Definition, Aims and Dissemination1.1 Definition and Aims General Objectives Specific Objectives: Measurable goals, quantitative or qualitative (by date, cost, satisfaction, …) Associate the 7 quality factors Measurable using Quality Indicators.

13. Quality Factors: examples of indicators Relevance: Web visits per year: number Accuracy: sampling error: %. Opportunity and Timeliness: following the schedule Accessibility and Clarity: Meta-information: yes or no. Comparability: series: yes or no. Coherency: EUROSTAT Methodology: yes or no. Thoroughness: Geographic: provinces, city.

14. 1.2 Dissemination Framework Basic: meets conceptual, territorial and seasonal levels of desegregation predicted in Plans and Programmes. Synthetic: gathered from restrictions on levels of desegregation from basic dissemination. For example, Eustat webpage dissemination, Annual Statistics Report and Statistics Gazette. Specific: Regular institutional petitions Methodological: Methodology files on the web, methodology documents

15. 1.2 Procedures for Dissemination Frameworks Procedures for Dissemination Frameworks: Tables, graphics, texts … Procedures for preparing information for dissemination: Describe how information is prepared for dissemination; Procedures for each type of dissemination: description of each channel of dissemination and medium (print, web, …)

16. 2. Methodological Design 2.0 Aim: To Describe the design process and the procedures and documents that make up the design process. Main sections: 2.1 Scope: Population, Geography and Periodicity 2.2 Applicable documents 2.3 Development: Concepts and Definitions, Sampling design, Questionnaire design ...

17. 3. Execution Procedures 3.1 Collecting information: the collection, coding and editing (field work) phases. 3.1.4 Development Design phase of the Basic Administrative Document Design phase of the Basic Technical Document Data Collection phase Treatment, coding and recording phase Editing phase 3.2 P. Tabulation and Imputation: statistical tabulation and analysis of collected data 3.2.4 Development -Imputation phases -Tabulation phases

18. 4. Functions and Responsibilities 4.1 Responsibility and staff 4.2 Work Schedule 4.3 Human Resources 4.4 Material Resources 4.5 Budget

19. 5. Quality Control 5.1. Summary of quality indicators and procedures: Summary table of indicators that serve as a guide to reaching quality goals.

20. 6. Computerization Try to describe the process of computerization Point of view from statistics expert

21. 4. Register of Technical Projects and Questionnaires

22. Register Functions Issues a certification for every entry Issues requested certifications for registered documents Issues a certified copy of requested documents. Records modifications of technical projects and registered questionnaires Provides input to the guidelines for TPs and questionnaires Resolves any concerns of the Basque Statistical Organisation

23. TP Register: Application • Aim: • To store Technical documentation from the operation. • To generate administrative documentation related to the entry of technical projects in the Register. • Profiles to access: • Technical register (administrative profile), • Deputy Director (technical profile) • General Director. • Flow chart of the application

24. EUSKAL ESTATISTIKA ERAKUNDEA INSTITUTO VASCO DE ESTADÍSTICA

25. 5. Documentation Data Base (Sharepoint)

26. What is Sharepoint? Data base within the Sharepoint web environment Contains the Public Register: access for producers Other documents of interest for producers: methodological template documents …

28. 6. Conclusions

29. Conclusions Slow to implement Leadership drive is fundamental Staff Awareness Usefulness of the Documentation Data Base