Energy Balances Communication Of The Results The Canadian Experience Gary Smalldridge, Chief, Energy Section May 2009
18/12/2015 Statistics Canada Statistique Canada 2 Energy Balances A complex data set
18/12/2015 Statistics Canada Statistique Canada 3 Interpretability of a complex data set “The numbers have spoken!” Is our data presentation easily understood?
18/12/2015 Statistics Canada Statistique Canada 4 Varied users and needs Statistics Canada Natural Resources Canada Environment Canada Industry organizations IEA/OECD Academia, Researchers and Public
18/12/2015 Statistics Canada Statistique Canada 5 Accessibility Energy Balances Output must be easily accessible to all types of data users - sophisticated and - non-sophisticated Many challenges to accessibility - i.e. confidentiality
18/12/2015 Statistics Canada Statistique Canada 6 Methods of dissemination The ‘Daily’ release (media) CANSIM (online retrieval system) Publications hard copy and internet Data sharing agreements other government departments regulatory agencies and, industry associations International agreements International organizations (IEA)
18/12/2015 Statistics Canada Statistique Canada 7 The ‘Daily’ Primary Method of public data dissemination Announces availability of data Easy to read highlights & data summary tables Points to supporting data CANSIM tables Points to data sources, methods and supporting surveys information Identifies data dissemination and subject matter officer ( address / toll free telephone number) -rapid turn around of enquiries
18/12/2015 Statistics Canada Statistique Canada 8 Energy Balances Dialogue with data users User input very important Helps to identify data gaps data quality issues data interpretation issues And, data presentation problems
18/12/2015 Statistics Canada Statistique Canada 9 FOR FURTHER INFORMATION Gary Smalldridge, Chief, Energy Section, Manufacturing and Energy Division, Statistics Canada (613)