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Modernization Committee on Products and Sources: Achievements and Follow-up 4th High -Level Group Workshop on the modernization of Production and.

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Presentation on theme: "Modernization Committee on Products and Sources: Achievements and Follow-up 4th High -Level Group Workshop on the modernization of Production and."— Presentation transcript:

1 Modernization Committee on Products and Sources: Achievements and Follow-up
4th High -Level Group Workshop on the modernization of Production and Services, Geneva November 2014

2 Members and participants of the Modernisation Committee on Products and Sources:
Jenine Borowik (Australia) Chair Julie Trépanier (Canada) Franck Cotton (France) Richard McMahon (Ireland) Stefano De Francisci / Monica Scannapieco (Italy) Barteld Braaksma / Barry Schouten / Johan van der Valk (Netherlands) Jean Watt / Amy White / Emma Mawby / Lyn Kaye (New Zealand) Anna Dlugosz (Poland) Ashwell Jenneker / Luxolo Lengs (South Africa) Michail Skaliotis / Martin Karlberg / Pilar Rey del Castillo (Eurostat) Yuri Gyomai / David Barraclough (OECD) UNECE Secretariat: Taeke Gjaltema / Steven Vale

3 MC Products and Sources: Terms of Reference
Develop access to and use of the range of data sources needed to support modernisation Develop products to meet increasing demands of users Operational responsibility for work on statistical data collection, including maintaining the wiki and sharing ideas and experiences through case studies Promote collaboration in relevant areas, such as: Big Data Access to micro-data Statistical confidentiality Open data Existing activities that will fall under this Committee: Seminars on Statistical Data Collection Work Sessions on Statistical Data Confidentiality Work Sessions on Statistical Communication Terms of References as presented at the 2013 HLG Workshop.

4 Six priority areas identified for Work Programme:
Big Data CSPA Mixed Mode Mobile Devices Marketing CES paper value of official statistics CSPA and Big Data: provide support to HLG in these areas

5 Main Achievements Big Data Questionnaire & Inventory
Branding of Official Statistics Survey Communication Value of Official Statistics Exploration Marketing, Mixed-mode & Mobile devices

6 Big Data Inventory Official Statistics beginning to experiment with Big Data  Learn from each other and team-up to joint projects Enhancement of the 2013 Big Data project inventory Big Data Survey September 2014: Coordinated between MC, Big Data Partnership TT and UNSD Questions to NSOs and IOs on : Big Data Strategy of Organization Existing and planned Big Data projects Section on partnerships, data sources and data analysis Results: 34 organizations and 57 projects Next Steps: Update and expand existing Big Data inventory from questionnaire Continued updating & expanded (e.g. technical information)

7 Branding of Official Statistics
The explosion in freely available data worldwide presents both threats and opportunities for NSOs to: Maintain relevance Highlight the value if official statistics Identify and address the weaknesses Showcase good examples of communication initiatives MC produced with two papers and a presentation: 'Marketing the NSO value proposition – a call to action and examples of good practice‘ Paper 62nd CES, Paris April 2014 'Communicating the NSO value proposition – ensuring that official statistics is a well recognized brand‘ Paper & presentation UNECE Work Session on the communication of Statistics, Geneva June 2014

8 Survey: NSOs’ best practices in communicating value proposition
NSOs’ best practices are worth sharing! Collaboration opportunities are there Survey activities to communicate the value of official statistics of NSOs to gather information about: strategies/campaigns to communicate the value of official statistics research to explore attitudes towards their statistics or to measure the effectiveness of their efforts marketing and communication activities Currently: drafting Questionnaire Next steps: Coordination with Works Session on the Communication of Statistics Create inventory on specific projects in marketing and communication Continued updating

9 Marketing, Mobile Devices and Mixed-Mode
Explorative work: information gathering Papers Examples of applications Concepts Share experiences Involved specialist colleagues Identifying Opportunities and Future Activities We’ll get back to that at the end of the presentation and tomorrow with soap-box presentaitons

10 Constraints & Challenges MC
Limited number of experts on each topic Variety and large range of topics Not given actual operational control of some activities mandated in ToR Time constraints (additional to work programme, changing responsibilities) Friday discussion on these topics (all invited to come) Operational control refers to the mandate to oversee & Coordinate work sessions and seminars on Data Collection, Statistical Data Confidentiality and Statistical Communication See priorities and follow-up activities on last slide

11 Way Forward: Changes needed
Mandate in line with capacity & expertise of members Allocation of time in work programme of members Strengthening of MC and possible sub-groups with ad-hoc members to concentrate on specific activity Integration steering group and other active members of Work Sessions on Data Collection, Statistical Confidentiality and Statistical Communication In original ToR, this MC would have operational responsibility for the Seminar on Data Collection, Statistical

12 Priorities and Follow-up Activities
Big Data: inventory and sharing experiences Marketing: Create shared resource and communication value proposition Mobile devices: cooperation to create multiplier Mixed-mode: integrate multiple sources and validation of statistics Linked Open Data: integrating data models and structural and referential metadata Oversee & Coordinate work sessions and seminars on Data Collection, Statistical Data Confidentiality and Statistical Communication This will be dicussed tomorrow. We have 3? Soap-box presentations.


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