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New ways to get the data Multiple mode and big data

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Presentation on theme: "New ways to get the data Multiple mode and big data"— Presentation transcript:

1 New ways to get the data Multiple mode and big data
Working Group Time Use Survey Luxembourg, 11 Nov 2014

2 New ways to get the data Designed by you Not designed by you
Web questionnaires and mobile apps Multiple mode data collection Not designed by you Big data sources Mobile phone sensors Crowdsourcing Other complementary sources

3 ESSnet "Data collection for Social surveys"
Initiated by Eurostat to support NSIs in: Developing web data collection tools Implementing and assessing the impacts of mixed mode data Labour Force Survey (LFS) chosen as a concrete example Duration of the project: autumn 2012 – 2014 Consortium: Partners (5): FI, NO, NL, UK, DE (coordinator) Support-group-members (3): SE, DK, IT External consultants

4 ESSnet "Data collection for Social surveys"
Some results concerning web questionnaires Implementation of web questionnaires is possible. Obstacles Length and Household approach is demanding Some questions are critical & need further testing Switch from interviewer administered to self-completion crucial Basic design: Paging design & navigation: Backward/forward button Error checks: Feasible, plausibility checks demanding Don’t know options useful Grids: applicable, but only simple CAWI design: is different from CATI and CAPI

5 ESSnet "Data collection for Social surveys"
Some results concerning multi-mode Mixed mode designs Mixed mode already used a lot, but not including web Many different mixed mode designs across ESS Design depends on purpose (quality / costs), and survey organisation Case management systems & IT are crucial for successful implementation Mode effects are present, but may not be problematic in LFS More work necessary on adjustment

6 Scheveningen Memorandum on Big Data
Examine the potential of Big Data sources for official statistics Official Statistics Big Data strategy as part of wider government strategy Address privacy and data protection Collaboration at European and global level Address need for skills Partnerships between different stakeholders (government, academics, private sector) Developments in Methodology, quality assessment and IT Adopt action plan and roadmap for the ESS At their meeting in September 2013, the directors general of the European Statistical System agreed on a memorandum on Big Data. The so called Scheveningen memorandum called for the submission of the action plan and roadmap on Big Data. It also expresses the main points of such an action plan, such as the integration of a Big Data strategy for statistics into an overall government strategy, the need for skills, the collaboration at European as well as at global level, the need for methodological developments and the protection of personal data. The action plan and roadmap was adopted by the ESS at its meeting on 25 Sep 2014.

7 Sources of Big Data for Pilots
Communication Mobile phone data Social Media WWW Web Searches Businesses' Websites E-commerce websites Job advertisements Real estate websites Sensors Traffic loops Smart meters Vessel Identification Satellite Images Process generated data Flight Booking transactions Supermarket Cashier Data Financial transactions Crowd sourcing VGI websites (OpenStreetMap) Community pictures collection The key critical success factor in the action plan is an agreement at ESS level to embark on a number of concrete pilot projects. A real understanding of the implications of big data for official statistics can only be gained through hands-on experience, ‘learning by doing’. Different actors have already gained experience conducting pilots in their respective organisations at global, European and at national level. The basic principle for the identification of the pilots should be their potential for producing official statistics. In addition, the pilots should cover a variety of characteristics related to big data and production of statistics. On the basis of the principles described in the action plan and roadmap, the he ESS Big Data ask Force should make proposals for pilots which would have to be agreed by the ESSC. Participation in the pilots will be guided by the collaboration principles of the ESS Vision on a case-by-case approach.

8 Thank you for your attention Eurostat Task Force on Big Data
Fernando Reis Eurostat Task Force on Big Data


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