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Priorities for 2015.

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Presentation on theme: "Priorities for 2015."— Presentation transcript:

1 Priorities for 2015

2 Communication and Outreach
Objectives: To communicate the value of international collaboration in the area of statistical modernisation by clearly demonstrating the tangible benefits of this approach To facilitate the sharing within and across organizations of knowledge, expertise, tools and methods for the benefit of all To increase the number of organisations actively involved in HLG initiatives.

3 Communication and Outreach
Work Packages 1: Internal communication 2: Communication and outreach within the official statistics community 3: Communication and outreach to external stakeholders 4: Project management and coordination

4 CSPA Implementation Objectives
To extend the governance and support offered by the AWG to the implementation of CSPA compliant statistical services, To establish and maintain a new Technical Coordination Committee which will provide full technical guidance to implementing organizations and put in place technical implementation communities, To facilitate the transitioning of CSPA governance from HLG project governance arrangements to the Modernization Committee for Production and Methods, currently this is an identified risk.

5 CSPA Implementation Work packages:
1: Extend the governance and support offered by the AWG through to Implementation 2: Establish the Technical Coordination Committee 3: Transition of governance and support to the Modernisation Committee Production and Methods 4: Project management and coordination

6 Other CSPA Actions Physical interface Identify priority services
JSON, DDI, SDMX, … – making them work Identify priority services Compare / align portfolios Information architecture Development sandbox

7 Big Data Follow-up Continuation of sandbox Continuation of inventory
New experiments Common products? Continuation of inventory

8 Soapbox Change / risk management DDI 4 development
Communicating the value of statistics Mobile devices Linked open data Data revolution

9 Other topics Legal and licensing Machine learning GAMSO


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