Update on the activities of the OECD’s Statistical Information System Collaboration Community MSIS - May 2012.

Slides:



Advertisements
Similar presentations
Recent SDMX IT developments at the OECD SDMX Expert Group Meeting September 2012 OECD, Paris By Jens Dossé and Jonathan Challener.
Advertisements

Building resource capacity within the SIS community by Jonathan Challener, OECD MSIS IOs meeting IMF HQ, Washington 24 May 2012.
Near East Plant Protection Network for Regional Cooperation & Knowledge Sharing Food and Agriculture Organization of the United Nations An Overview on.
Presentation to the HLG By Gary Dunnet (Statistical Network Chair)
Reproductions of this material, or any parts of it, should refer to the IMF Statistics Department as the source. IMF Statistics Department Louis Marc Ducharme.
1 SDMX Reference Infrastructure (SDMX-RI) Work in progress, status and plans Bengt-Åke Lindblad, Adam Wroński Eurostat Eurostat Unit B3 – IT and standards.
HLG, November 2013 By Jonathan Challener INTERNATIONAL COLLABORATION USE CASE: THE OECD’S STATISTICAL INFORMATION SYSTEM COLLABORATION COMMUNITY.
MSIS2013 By Jonathan Challener UPDATE ON THE ACTIVITIES OF THE OECD"S STATISTICAL INFORMATION SYSTEM COLLABORATION COMMUNITY.
SDMX – AN OECD PERSPECTIVE Paul Schreyer OECD CCSA Special Session, September 2014 Rome.
Networks ∙ Services ∙ People John DYER TF-MSP Video Conference Community Procurement Support Building on the SPOT-ON Proposal Smart Procurement,
1 Establishment of a Strategic Advisory Body for the Modernization of Statistical Production and Services in Asia and the Pacific and of a supporting network.
Africa Information Highway and SDMX implementation in Africa Beejaye Kokil Economic & Social Statistics Division African Development Bank
Customer Focus Module Preview
Agricultural Biotechnology Network for Regional Collaboration and Knowledge Sharing Food and Agriculture Organization of the United Nations An Overview.
PARIS21 CONSORTIUM MEETING Paris, October 2002 Progress Report of the Task Team on Food, Agriculture and Rural Statistics  Objectives  Past activities.
Background Many of the current global crises are directly linked to the urban development path Many sustainable development issues cannot be resolved.
CES 2012 Paris 1 High Level Group for Strategic Developments in Business Architecture in Statistics Strategy Gosse van der Veen, Statistics Netherlands.
IMPROVING COLLABORATION AND THE USE OF OPEN SOURCE TOOLS TREVOR FLETCHER MSIS 2013 – International Organisation Session.
Awa Thiongane Senior Regional Advisor UNECA, African Centre for Statistics Improving Data Management at ECA.
NSDI Future Directions Initiative Towards a National Geospatial Strategy and Implementation Plan Ivan B. DeLoatch FGDC Staff Director.
Chapter 9 Developing an Effective Knowledge Service
IW:LEARN TDA/SAP Training Course
Second meeting 16 July 2014, Bangkok
Modernisation of ESS infrastructure: The ESS instruments - a review E. di Meglio – P. Jacques – J.M. Museux.
Building Strong Library Associations | Library Associations in Society: An Overview DAY 1 Session 2 Setting the Scene: Slides.
1 HLG-BAS workshop Session III Questionnaire responses of the HLG-BAS related groups A. Born / A. Götzfried / J.M. Museux.
IODE Ocean Data Portal – from data access to integration platform Sergey Belov, Tobias Spears, Nikolai Mikhailov International Oceanographic Data and Information.
The Next Stage for Results in Africa. Context 2005 Paris Declaration on Aid Effectiveness 2006 Mutual Learning Events Uganda & Burkina Faso 2007 Hanoi.
Promoting the use of SDMX WPTGS November Presentation contents: 1. What is SDMX? 2. SDMX: NSI Perspective 3. OECD SDMX work 4. How SDMX is used.
ADB/ESCAP Pilot Project: Implementation of Global SDMX Data Structure Definitions in Asia-Pacific Region - Putting SDMX into practice MSIS, Manila,
Software innovation theoretical model. the model: outputs (outcomes) product/service innovation process innovation factors (drivers) outputs (outcomes)
The PHEA Educational Technology Initiative. Project Partners PHEA Foundations – Ford, Carnegie, Kresge, MacArthur South African Institute for Distance.
Embracing the changes required for a successful collaboration OECD Statistical Information System Collaboration Community experience MSIS2011 Meeting –
African Centre for Statistics United Nations Economic Commission for Africa Data compilation and management proposal for Africa Statistical Commission.
1 Implementing a Knowledge Cycle for Best Practices in Health Promotion and Chronic Disease Prevention Kerry Robinson, Vincent Turgeon, Dexter Harvey,
1 Modernization of Statistical Production and Services in Asia-Pacific Marko Javorsek, Statistics Division, ESCAP International Seminar on Modernizing.
1 Modernization of Statistical Production and Services in Asia-Pacific Marko Javorsek, Statistics Division, ESCAP Workshop on the Modernization of Statistical.
SDMX IT Tools SDMX Reference Infrastructure
United Nations Economic Commission for Europe Statistical Division International Collaboration to Modernise Official Statistics Steven Vale UNECE
An overview of SDMX November Presentation contents: 1. What is SDMX? 2. SDMX: NSI Perspective 3. OECD SDMX work 4. How SDMX is used in sharing and.
Fire Emissions Network Sept. 4, 2002 A white paper for the development of a NSF Digital Government Program proposal Stefan Falke Washington University.
7b. SDMX practical use case: Census Hub
CENSUS OUTPUTS Dissemination Plans Chris Ashford 2011 Census Outputs : Technical Delivery.
CountrySTAT / FENIX Overview, Objectives, Implementations and Approach.
1 Item 2.1.b of the agenda IT Governance in the ESS and related issues Renewal of mandates STNE Adam WROŃSKI Eurostat, Unit B5.
Project overview Virtual Integrated Partnering (VIP) for SME service, technology and information providers in the European maritime sector Grant agreement.
1 Joint UNECE/EUROSTAT/OECD METIS Work Session (Geneva, March 2010) The On-Going Review of the SDMX Technical Specifications Marco Pellegrino, Håkan.
The 7th Framework Programme for Research: Strategy of international cooperation activities Robert Burmanjer Head of Unit, “International Scientific Cooperation.
Implementation plan for Strategic Research and Innovation Agenda for Traditional Food Prof. Đuro Kutlača, PhD Institute “Mihajlo Pupin”, University of.
Statistical Modernisation Community Padraig Dalton 8 March
Advancing statistics for development Marko Javorsek ESCAP Statistics Division Modernization Working Group on Production, Methods, and Standards (MWG) First.
1 High Level Seminar for Eastern Europe, Caucasus and Central Asia Countries (EECCA). Quality in Statistics: Metadata Tbilisi, Georgia, June 2012.
African Centre for Statistics United Nations Economic Commission for Africa Session 2 How to meeting countries needs: What has been done and way forward.
System Overview Training on the use of the new countrystat
Statistical Information Systems Introducing SIS tool .Stat
The ESS vision, ESSnets and SDMX
Sharing Trade Data in the International Community
System Overview Training on the use of the new countrystat
Country use cases: Cambodia, and Tunisia
The evolution of the SDMX infrastructure and services
The role of statistical standards in Building National Data Backbones
ESS roadmap on Linked Open Data State of play
CountrySTAT / FENIX Overview of the
Presentation contents:
Statistical Information Technology
The basics ESSnet on SDMX prepared in 2008/2009
2nd SISAI meeting Luxembourg, June 2012
UNFCCC Needs-based Finance (NBF) Project
ESSNet SERV 2 Implementing Shared SERVices
Presentation transcript:

Update on the activities of the OECD’s Statistical Information System Collaboration Community MSIS - May 2012

Presentation topics A brief background to collaboration Advantages for enabling implementation standards with a focus on the many SDMX initiatives in place Leveraging innovative visualisation software through the integration of the OECD eXplorer component Current and potential collaboration partners The community and delivering on collaboration Report from the recent SIS-CC annual Workshop MSIS 2012OECD’s Statistical Information System Collaboration Community

A brief background to collaboration MSIS 2012OECD’s Statistical Information System Collaboration Community Sharing of OECD’s statistical information systems modules: –StatWorks –MetaStore –OECD.Stat (including OECD eXplorer) First shared with IMF in 2007 as a joint development project Today there are 7 members in addition to OECD as lead Based on bilateral agreements Memorandum of Understanding (MoU) signed with each organisation, Interest has now grown with strong and formal expressions of interests from a number of other institutions.

Many obvious advantages MSIS 2012OECD’s Statistical Information System Collaboration Community Savings in time and resources Enables standards (such as SDMX) Gives a positive message to stakeholders Facilitates creation of joint products In line with the HLG-BAS philosophy

Enabling standards: SDMX Data exchanges with NSOs (iStat, ABS) Data exchanges with other IOs (IMF..) MSIS 2012OECD’s Statistical Information System Collaboration Community

New Visualisations – the integration of eXplorer.Stat now includes eXplorer visualisation component, any data selection from the 700+ datasets available can now be viewed as an animated graphic using: –maps, –bubble charts, –line charts, –and histograms. Visualisations can be customised and shared among groups, provides a new dimension for data discovery and storytelling based on the latest available data. MSIS 2012OECD’s Statistical Information System Collaboration Community

The growing community MSIS 2012OECD’s Statistical Information System Collaboration Community

Current and interested collaboration partners MSIS 2012OECD’s Statistical Information System Collaboration Community Evaluating Organisations who are evaluating one of the SIS tools for use in their organisation. Interested Organisations who have expressed interest in one of the SIS tools for use in their own organisation. Members Organisations who have signed a memorandum of understanding and actively involved in the community. ISTATIMFSNZABSECOECDUoMUIS UNIDOSTATCANINSEEKOSTATESTONIA ITCBINEGISLOVENIA

Community vision MSIS 2012OECD Statistical Information System and Collaboration Community Co-producing and co-developing state-of-the-art Statistical Information Systems by leveraging on community capacities. Sharing of experiences, knowledge and best practices through multilateral collaboration and building of a collective capacity. Enabling innovation at an optimal cost with all members benefiting from each other in terms of ideas and methods. Provide a platform for Open Data projects as identified as a priority for major member countries. Implementing standards for data sharing across organisations in order to improve data accessibility and quality, and reduce costs.

Collaborative environment MSIS 2012OECD Statistical Information System and Collaboration Community Governance Framework Quarterly reviews MoU Community workplan Application Lifecycle Management Team Foundation ServerAgile methodology Technical support network Collaboration portal Installation package Capacity building Technical discussions

Delivering on collaboration MSIS 2012OECD Statistical Information System and Collaboration Community User Interface OECD Security OECD Direct SQL access OECD New unit management OECD PoC New Data table structure OECD Improved performance and display of sparse datasets OECD SDMX-RI integration study ISTAT Configuration table encryption ABS Full 3-tier architecture ABS Installation package enhancements ABS SQL code review ABS Security code review ABS Structural metadata utility SNZ Replication feature SNZ Configuration comparison utility ABS iPad application IMF Installation Package OECD

SIS-CC Workshop 2012 MSIS 2012OECD’s Statistical Information System Collaboration Community

Focus for 2012 workshop MSIS 2012OECD Statistical Information System and Collaboration Community Data Machine-Readability in support of open data strategies Data Discovery and the potential of semantic web Exploring new technologies for dissemination

Objectives MSIS 2012OECD Statistical Information System and Collaboration Community Day 1 and 2 - Understand the community network - Share knowledge - Build expertise - Brainstorm collectively Day 3 - Define community orientations on key innovations - Define actions to be taken by the community

Key points 64 participates representing 25 organisations, 18 presentations over 3 innovation sessions, individual topics ranged from Open Data, Semantic Web, Mobility and Cloud, 5 work groups per innovation session, 13 questions discussed and outcomes reported back outcomes prioritised by collaboration partners on day 3. MSIS 2012OECD Statistical Information System and Collaboration Community

What’s ahead for the SIS-CC MSIS 2012OECD Statistical Information System and Collaboration Community Continue to meet the business and strategic needs of the community Continue to build capacity within the community Continue to strengthen processes of community Increase the innovation capacity of the community

Further information Questions? or MSIS 2012OECD’s Statistical Information System Collaboration Community