1. www.statistik.atWe provide information Data sources and data collection – a first draft Wolfgang Bittermann Directorate Spatial Statistics Helsinki 24 October 2012

2. www.statistik.atslide 2 | 24 October 2012 The content 3 Subchapters 1. Types of data sources 2. Data collection 3. Country practices Open questions 1. Extension: nr of pages, font type etc. 2. Level of detail 3. Links to other manuals e.g. Energy efficiency manual (IEA), MESH (EUROSTAT) vs independent publication

3. www.statistik.atslide 3 | 24 October 2012 Types of data sources - Overview 1.Administrative data sources 2.New Surveys 3.Additional questions to already existing surveys 4.Metering  Smart meters and smart grids  In situ measurements 5.Models 6.(Integrated Approach?)

4. www.statistik.atslide 4 | 24 October 2012 Types of data sources – Administrative data 1.Registers for public administration 1. Population register 2. Housing register 3. Building register 4. Car register 2.Private registers 1. Sales registers 2. Customers registers 3.Tax information 4.Customs data

5. www.statistik.atslide 5 | 24 October 2012 Types of data sources - New Surveys i.Legal base a.obligatory b.voluntary ii.Type a.Census b.Sample survey iii.Respondents a.Suppliers b.Consumers iv.Format a.Paper b.Web based (electronic questionnaire) c.Interview o Personal interview » Computer assisted (CAPI) » Non computer assisted o Telephone interview » Computer assisted (CATI) » Non computer assisted

6. www.statistik.atslide 6 | 24 October 2012 Types of data sources – General structure 2.New Surveys Advantages Disadvantages I. Legal base a.Obligatory Advantages Disadvantages Text Summery and conclusions b.Voluntary II. Type

7. www.statistik.atslide 7 | 24 October 2012 Types of data sources – Example Consumer Surveys (households)  Advantages  Comprehensive information on all fuels used in private households  Best achievable data quality if they are well prepared and combined with a comprehensive data validation process  Can be used directly and as input for model calculations  Disadvantages  Resource intensive  Expensive  Time consuming  High respondent burden

8. www.statistik.atslide 8 | 24 October 2012 Types of data sources – Example Consumer Surveys Conclusions and summery  The 4 main elements to achieve good results are a careful preparation, a simple questionnaire, well trained interviewers and comprehensive data validation.  Grossing up procedures can be improved by using supplier information, e.g. gas meters attributed to households.  Model based extrapolation e.g. heating degree days help decrease survey frequency.

9. www.statistik.atslide 9 | 24 October 2012 Data collection - 1 1. General aspects  Preparation/Questionnaire o Complexity o Length/Completeness o Structure o Necessary explanations o Announcement  Data validation/imputation/grossing up o Comprehensiveness o Documentation o Use of additional information

10. www.statistik.atslide 10 | 24 October 2012 Data collection - 2 2. New surveys/questionnaires  User and expert implementation into questionnaire development  Taking into account respondents knowledge  Test survey  Taking into account resource availability (budget, staff) and data quality aspects (by choosing type and sample size)

11. www.statistik.atslide 11 | 24 October 2012 Data collections- 3 3. Metering  When metering  What metering o Electricity o Natural gas o District heating 4. Modeling  When modeling  What modeling  Necessary preconditions

12. www.statistik.atslide 12 | 24 October 2012 Country practices Harmonised format? How many examples? Results and metadata included?  Directly implemented  As annex  As link What level of detail – e.g. different levels already available for Austria (Metadata reports for UNSD, EUROSTAT, IEA, national) Shall quality aspects be included?  Directly implemented  As annex  As link

13. www.statistik.atslide 13 | 24 October 2012 IEA-Examples

14. www.statistik.atslide 14 | 8 March 2012 Please address queries to: Wolfgang Bittermann Contact information: Guglgasse 13, 1110 Vienna phone: +43 (1) 71128-7315 fax: +43 (1) 28-8155 wolfgang.bittermann@statistik.gv.at Thank you for your attention