Big Data Project Inventory

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The GWG Big Data Inventory is a catalog of Big Data projects that are relevant for official statistics, SDG indicators and other statistics needed for decision-making on public policies, as well as for management and monitoring of public sector programs/projects. This inventory is a joint product of the World Bank and the United Nations Statistics Division (UNSD) put together on behalf of the UN Global Working Group (GWG) on Big Data for Official Statistics. The tasks related to the content of the inventory are led by the World Bank and UNSD, and the technical side is serviced by the UNSD technical team.


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If you are working on a project that you would like to be considered for inclusion in this Inventory, even if the project is in an initial phase, please fill out this application form.

Please note that the project should either use Big Data sources and/or utilize Big Data techniques, and ideally have some relevance or implications for official statistics, SDG indicators or other statistics needed for decision-making on public policies. The Global Working Group will review submissions and include those projects that meet these criteria, or possibly contact you for further information. Please note that the information submitted below, once approved, will be made public on the GWG Big Data Project Inventory website.

A Big Data Pilot Project - With Smart Meter Data

Country/Area: Canada
Organization / Dept: Canada - Statistics Canada
    Data sources:
  • Smart meter electricity data

Contact information

Project description:

In fall 2014, Statistics Canada funded its first big data pilot project. The two key objectives of the project were: 1) to use smart meter data as an example of big data, to explore what is and isn't feasible, as well as the tools and skills required, and the potential benefits and pitfalls of utilizing data of that magnitude at Statistics Canada, and 2) to test the feasibility of replacing and/or supplementing Statistics Canada's residential electricity consumption survey data with smart meter data. Currently, there are several surveys and statistical programs at Statistics Canada that either collect or utilize residential electricity consumption data or data related to residential electricity consumption; these include the Electricity Disposition - Quarterly Sector Survey, Electricity Supply Disposition Annual Survey, Survey of Household Spending, Quarterly Household Final Consumption Expenditure, Detailed Household Final Consumption Expenditure, Consumer Price Index, Purchasing Power Parities, InterCity Indexes of Price Differentials, and the Census. These nine surveys could potentially benefit from smart meter data and each represents an opportunity that could be explored. The potential of smart meter data is that in the future, instead of surveying individual utilities or households, we could collect the data directly from the smart meter entities, which would greatly reduce response burden while increasing relevance, timeliness and accuracy.

Objective:

  • Exploration
  • Scientific / research

Statistics Area:

  • Demographic and social statistics
  • Economic and financial statistics
  • Environmental statistics
  • Price statistics


Partnerships
  • Data providers: Not Specified
  • Other partners: Not Specified
  • Partnerships Comments: Not Specified

SDG Indicators
  • SDG Goals: Not Specified
  • SDG Comments: Not Specified
  • SDG Relevance: Not Specified

Data Access

    No detail provided


Data Coverage

    No detail provided


Data Quality

    No detail provided

  • No detail provided

Methodology
  • Methods Used: No detail provided

Technologies
  • Technologies Used: No detail provided

Other
  • Timeframe To Produce Indicator: NA