1 1 Best practice template Introduction Prepared for the 6 th Oslo Group meeting in Canberra 2 – 5 May 2011 Elisabeth Isaksen Senior Executive Officer Statistics Norway (

2 Mandate of the Oslo Group The mandate of the Oslo Group on Energy Statistics is to contribute to improved international standards and improved methods for official energy statistics by pooling expertise in the energy community. One important way of achieving this is to identify, collect and share national and international best practices.

3 What is a best practice? Best practice can be defined in different ways When the template was introduced at OG3, best practice (for the purpose of the Oslo Group) was defined as follows: A best practice is a technique or methodology that through experience has proven to reliably lead to a desired result. It should serve as a model for generating initiative elsewhere, have the ability to be replicated and the potential to be adapted and transferred.

4 Why use a best practice template? Provide structured input for the Energy Statistics Compilers Manual –Easier comparison between countries and statistical products –Easier to find the relevant information quickly –Ensure that all important and relevant information is covered

5 Different types of best practises – Need for different templates ? 3 main areas: 1. Statistical production 2. Systems (e.g. IT-system) 3. Organization

6 Best Practice Template The best practice template was prepared for the 3 rd Oslo Group Meeting in 2008 by Ms. Sara Øvergaard (Statistics Norway) The template is quite extensive Leave it to the user to decide which sections/chapters are relevant for the spesific statistics/survey

7 Content – BP template on statistical production Abstract (1 page) 1. Administrative information 1.1. Name 1.2. Subject area 1.3. Responsible authority 1.4. Reference Period 1.5. Frequency 1.6. Timeliness 1.7. Punctuality 1.8. Availability 1.9. Legal authority Legal document International reporting

8 Content – BP template on statistical production 2. Background and purpose 2.1. Purpose and history 2.2. Users and applications 3. Concepts, variables and classifications 3.1. Definitions of main concepts and variables 3.2. Classification scheme 4. Statistics production 4.1. Population 4.2 Data sources 4.3. Sampling 4.4. Collection of data 4.5. Control and revision 4.6. Estimation

9 Content – BP template on statistical production 5. Sources of error and uncertainty 5.1. Measurement and processing errors 5.2 Non-response errors 5.3. Sampling errors 5.4 Other sources of error 6. Comparability and coherence 6.1. Comparability 6.2. Coherence 7. Availability 7.1. Publications and other links 7.2. Microdata 7.3. Documentation 7.4. Confidentiality A. Annexes Illustrations and models Time Schedule Questionnaires Example of publication tables

10 Examples prepared by Statistics Norway Statistics for residential energy consumption per household - Ann Christin Bøeng, Statistical Adviser – ey_statistics_norway.pdfhttp://og.ssb.no/escmmainpage/escmexamples/household_surv ey_statistics_norway.pdf Energy use in the manufacturing industry - Dag Spilde, Adviser – industry_best_practise.pdfhttp://og.ssb.no/escmmainpage/escmexamples/manufacturing_ industry_best_practise.pdf

11 Feedback from OG participants The secretariat has asked some of the OG participants to evaluate the best practice template Questions that may be up for discussion –Detail level –Do we need more than one template (systems, organization, institutional arrangements, etc.)? –Is the template suitable for the statistical production in different countries? –Are there important aspects that is not covered by the template?