The 2013 MSIS meeting decided that Big data is a key issue for official statistics. This page is for sharing links to resources / ideas / information / plans etc. - anything you think might be useful to others. Please feel free to post your input. If you need an account, please contact firstname.lastname@example.org.
In May 2013 a temporary task team was set up to work out the key issues with using Big Data for official statistics, identify priority actions and formulate a project proposal. The team worked virtually, by Wiki and Webex, and has now produced a number of preliminary outputs
- a project proposal consisting of three major work strands: an exploration of strategic and methodological issues; analysis of Big Data sources and international replication of outputs using a shared computing environment; and training and dissemination activities.
- a draft classification of types of Big Data - comments are welcome
- an inventory of Big Data sources and projects, based on the above classification.
UNECE involvement in work relating to Big Data
|September 2014||Enhancement of the Big Data project inventory in collaboration with the United Nations Statistics Division and the HLG Modernisation Committee on Products and Sources: a new, more detailed questionnaire is under development with the aim of obtaining a more comprehensive picture of current and planned projects and facilitating exchange of knowledge and experience.|
|August-October 2014||Preliminary results of the survey "Skills necessary for people working with Big Data in Statistical Organisations". More detailed analysis will be prepared by October 2014.|
International collaboration project on The Role of Big Data in the Modernisation of Statistical Production - This project, overseen by the High-Level Group for the Modernisation of Statistical Production and Services, will is running during 2014, and aims to:
|June 2013||Draft classification of types of Big Data|
|March 2013||Position paper What does Big data mean for official statistics? (March 2013) drafted for the High Level Group for the Modernization of Statistical Production and Services (HLG).|