Modernization Committee on Products and Sources:

Report 20155th High -Level Group Workshop on the modernization of Production and Services, Den Haag -24-26 November 2015

MC Products and Sources- Members

Jenine Borowik (to 2015-07) (Australia)

Julie Trépanier (Canada)

Franck Cotton (France)

Richard McMahon (to 2015-04) and Eoin McCuirc (from 2015-04) (Ireland)

Monica Scannapieco and Stefano De Francisci (Italy)

Barteld Braaksma (Chair) (Netherlands)

Jean Watt (New Zealand)

Anna Dlugosz (Poland)

Luxolo Lengs and Koketso Moeng (South Africa)

Michael Levi (United States of America)

Roberto Barcellan (to 2015-08) and Martina Hahn (from 2015-08) (Eurostat)

Yuri Gyomai (OECD)

UNECE Secretariat: Taeke Gjaltema / Steven Vale

Many more colleagues have participated in our workUNECE Modernisation Committee for Products and Sources 2

MC Products and Sources-Mandate

Develop and exploreData sources to support modernisation

Products to meet increasing user demands

Promote collaboration in relevant areas

Operational responsibility for workshops and wikis

MC Products and Sources- Priority Areas

Big Data

Mobile Devices

Communication & Branding

Linked Open Metadata

Data integration

Three workshops

Data Collection/DissComm/Confidentiality

UNECE Modernisation Committee for Products and Sources 4

MC Products and Sources- Other Topics

Open Data

Mixed mode

CSPA implementation

Administrative Data (Statistical Network)

Quality frameworks

HLG Communication

MC Products and Sources- Communication Surveys

What?About communicating/improving/measuring the value of official statistics

Two surveys (spring + autumn) sent to NSOs/IOs

Used by MCPS, CES TF on Value of OS, Workshop DissComm, …

Why? Share best practices!

Find collaboration opportunities!

Status: In-depth analyses Spring Survey (43 responses)

Tentative analysis Autumn Survey (already 47 responses)

MC Products and Sources- Workshops

UNECE Workshops onDissemination and Communication of Statistics

Data Collection

Washington DC, 27 April – 1 May 2015Back-to-back, one common day

Nine presentation sessions

50+ papers, 100+ participants, 48 organizations, 24 countries

Many group discussions (10 plenary, 8 small,1 panel)

Evaluation by participants (very) positive

MC Products and Sources- Linked Open Metadata Proposal (1)

Linked Open Metadata:• Common models and vocabularies • So far rarely available internally or for other users in open and

machine-actionable formats

Objective: Demonstrate the usefulness of linked metadata for the statistical community and to acquire hands-on experience in that field

Benefits:• Easiness of data access, e.g. machine readability• Quality tracking by comparing, reproducing, finding inconsistencies,

correct interpretation• Integration by linking data, e.g. searching multiple database at once

for combining data

MC Products and Sources- Linked Open Metadata Proposal (2)

WP 1: Build a dissemination system for core structural metadata• Define and implement a set of metadata (glossaries, classifications and code lists)

as part of a linked metadata dissemination system

WP 2: Build an information system supporting the HLG vision• This tool will contain a semantic coherent representation of the main HLG models

(GSPM, GAMSO, GSIM, CSPA service descriptions)• Possible use cases could be: defining national refinements of a model (e.g.

GSIM), attaching specific process descriptions to GSBPM sub-processes, etc.

WP 3: Project evaluation and sustainability plan• The evaluation will describe the results achieved with regard to the project's

objectives, the possible problems encountered and the lessons learned that can be useful for the NSIs or for other similar initiatives (for example DIGICOM)

MC Products and Sources- Data Integration Proposal (1)

“We must move from a paradigm of producing the best estimates possible from a survey to that of producing the best possible estimates to meet user

needs from multiple data sources” (Conny Citro)

Produce stable output with unstable ever changing inputs

Opportunities

Big data and administrative data

New technologies

Challenges

Increasing needs: timeliness, frequency and disaggregation

Less budget, lower response burden

Other statistics producers

It’s Time to Collaborate!

MC Products and Sources- Data Integration Proposal (2)

UNECE Modernisation Committee for Products and Sources 11

Integrating survey, admin, big data, non official data

Common data sets to collaborate in sandbox

Methodology, Metadata & Quality frameworks

MC Products and Sources- Constraints & Challenges

Large variety of topics

Limited and shifting capacity

Initiation of new members

“Silent” members

Other actors in same area

Inter-MC communication and coordination

MC Products and Sources- Way Forward

Changes proposedInternal organisation of MCPS

Create sub-groups for specific activities (ad-hoc members)

Invite active participants of workshops

Contributing organisations (via HLG)

Formal time allocation in work programme of members

Administrative/secretarial support from NSO staff

HLG

Promote inter-MC collaboration

Extra Slides

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

UNECE Modernisation Committee for Products and Sources 15

MC Products and Sources- Main Achievements

Survey Communicating and Measuring the Value of Official Statistics: 45+ responses

Follow-up from the 2014 Survey on communication of statistics

Big Data Inventory: 70 projects (up from 57)Needs update of existing and adding selection GWG Survey projects

Linked Open Metadata:INSEE/ISTAT collaboration

HLG project proposal

Mobile Devices: Customizing reverse geocoding dissemination app of South Africa for Netherlands

Data Integration: HLG project proposal

UNECE Data Collection, and Communication Workshops

General Activities

Big Data, CSPA, Mobile Devices, Mixed-Mode, Open Data:

Explorative work:

information gathering

Papers

Examples of applications

Concepts

Share experiences

Involved specialist colleagues

Identifying Opportunities and Future Activities

Check if it needs an HLG Project to develop furtherUNECE Modernisation Committee for Products and Sources 17