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.


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.

Use of mobile phone data for mobility and urban statistics

Country/Area: Europe
Organization / Dept: European Commission - Eurostat
    Data sources:
  • Mobile phone data

Contact information

Project description:

Use call detail records (CDRs) for population, mobility and urban statistics estimation and inferences


  • Exploration
  • Scientific / research

Statistics Area:

  • Demographic and social statistics
  • Transportation statistics
  • Urban statistics

  • Data providers:
    • Mobile phone operator
  • Other partners:
    • Government institute
  • Partnerships Comments: Not Specified

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

Data Access
  • Data Access Rights: Only for this project
  • Intermediary: No

Data Coverage
  • Coverage Period: 2007
  • Data Coverage: All available data
  • Coverage Geo Pop: Whole country / high % of market
  • Cost Implication: Free

Data Quality
  • Validation With Training Data: Yes
  • Validation Comments: Comparison with official releases.
  • Data Quality Concerns: No
  • Quality Aspects Evaluated:
    • Privacy and Security
    • Accuracy, including selectivity
    • Coherence, including linkability to other sources

  • Methods Used:
    • Data visualization methods
    • Traditional statistical methods
  • Developed New Methods: No

  • Technologies Used:
    • Hadoop Clusters
    • Relational database
    • GIS
    • Data visualization tools

  • Timeframe To Produce Indicator: NA