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This project is a collaborative approach to the new challenges of using Big Data sources for official statistics. It will run during the calendar year 2014, and has three main objectives:

  • To identify, examine and provide guidance for statistical organizations on the main strategic and methodological issues that Big Data poses for the official statistics industry
  • To demonstrate the feasibility of efficient production of both novel products and ‘mainstream’ official statistics using Big Data sources, and the possibility to replicate these approaches across different national contexts
  • To facilitate the sharing across organizations of knowledge, expertise, tools and methods for the production of statistics using Big Data sources.

The project is open to all national and international statistical organisations that want to contribute. It is complementary to other initiatives, including those of the European Statistical System, to avoid duplication of efforts. It also aims to be as relevant as possible to the specific needs and concerns of each contributing organisation.

This page contains public information and documents. The working pages for the project are here, but are restricted to project team members who have UNECE wiki accounts.

For more information about the scope and planned outputs of this project, please see the Project Proposal

Specific areas of work include:

TopicOutputs

A quality framework for Big Data

 
Managing privacy and data security 
Developing partnerships with data suppliers, processors and users 
Identifying and developing the skills needed to use Big DataPreliminary survey results
Sharing information through an inventory of Big Data activities and projectsInventory (to be further enhanced)
A "Sandbox" to test ideas, tools and methods 

 

 

If you are interested in being involved in the project, please contact Steven Vale (steven.vale@unece.org)


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