ESS Vision Implementation Group
ESSC Seminar on ESS Vision 2020
11 February 2015 Luxembourg
Prioritisation of the ESS Vision 2020 implementation portfolio
Annex 1 Summary information by project
2
Table of contents
How to read the summary information ................................................................................................................................ 3
Summary by project .............................................................................................................................................................. 6
ESBRs ..................................................................................................................................................................................... 7
SIMSTAT ................................................................................................................................................................................ 9
REDESIGN ............................................................................................................................................................................ 11
VALIDATION ........................................................................................................................................................................ 13
ADMIN ................................................................................................................................................................................ 15
DARA ................................................................................................................................................................................... 17
ESDEN ................................................................................................................................................................................. 19
SERV .................................................................................................................................................................................... 21
DW ...................................................................................................................................................................................... 23
IMS ...................................................................................................................................................................................... 25
BIGD .................................................................................................................................................................................... 27
DIGICOM ............................................................................................................................................................................. 29
QUAL ................................................................................................................................................................................... 31
UA/IPROD ........................................................................................................................................................................... 33
3
How to read the summary information
This section provides explanations on how to read the summary tables associated to the projects that currently constitute
the ESS Vision 2020 Portfolio.
The summary information is composed by 2 pages for each project:
The first page provides the information on the project in a structured form
The second page provides a visual "overview" of the project and of the related estimated investment costs for Eurostat
and Member States.
How investments costs are calculated
Eurostat total investment costs
Eurostat total investment costs have been compiled on the basis of the information provided in the ESS.VIP business
cases. They include both the project's budget (i.e. expenses for grants, consultancy, administrative arrangements,
development contracts etc.) and staff costs.
All figures are expressed in euros. Staff costs have been converted into monetary values average personnel costs as
provided by DG BUDG.
Estimated costs for the EU budget are given without prejudice of the decisions to be taken by the Commission on future
Financing Decisions and on resources allocations for statistical activities (budget and human resources).
Member States total investment costs
The estimates provided cover the expected costs to Member States related to their involvement in the initiation and
development of a project. They do not include the costs of national deployment of project's deliverables. The costs
therefore include:
The total costs incurred by Member States to participate in ESSnets/Centres of Excellence (co-financing for Member
States).
The total costs incurred by Member States to participate in collaboration fora such as Expert Groups, Steering Groups or
Task Forces over the lifetime of a project.
All figures are expressed in euros. Staff costs have been converted into monetary values using average personnel costs
for Member States as derived from historical data on past Eurostat grants.
4
PROJECT ACRONYM Project name type of project: business/cross cutting/framework
Purpose of the project
Description of the purpose of the project
Overall Status
Current status of the project
Green on target
Amber emerging difficulties
Red serious difficulties
Project progress
initiating planning execution closing
Current phase of the project
Time scale
Project Start Date:
Project End Date:
Decision points
Milestones from a decisional point of view
(ESSC decisions, seminars, etc.)
Normal = decision points already happened
Italic = forthcoming decision points
What is in the scope
Scope of the project
Governance ESS
Governance of the project
Concerned bodies in the ESS governance
Director Group: reference Director Group
Working Group: reference WG (if any)
Steering Group: Yes/No
Expert Group: Yes/No
ESSnet: Yes /No
Centre of Excellence: Yes/No Main deliverables
Deliverables of the project
Governance Eurostat
Project Owner: Director in charge of the project Project Manager: Administrator in charge of the
project
Steering Group: Yes/No
Expected outcomes
Expected outcomes
main consequences deriving from the successful achievement of the project targets
Participation of MSs to the deployment phase
Relevance of the participation of Member States in
the deployment phase
opt-in / opt-out
necessary
advisable
Expected benefits
Expected benefits
How the project deliverables and outcomes will contribute to create the framework for modernisation of the ESS according to the ESS Vision 2020
Consequences for MS after development
Consequences for MS if the development phase is
successful and the ESS decides to proceed to the
deployment phase
5
PROJECT ACRONYM Project name overview
ESS Vision 2020
key areas
contribution
Users Quality New Data
Sources
Statistical
Production Communication
Key
benefits
Quality
Improvements
Burden
reduction Cost reduction
x X x x X X
-Pre-initiation-- ------------------------------------------------------------------Execution------------------------------------------------------------ ----------Planning----------- ---Closing--- ---Initiation--
ESSC
2013 2014 2015 2016 2017 2018 2019 2020
Project life span
Phases
Expert Group
ESSnet/CoE
Milestones
2013 2014 2015 2016 2017 2018 2019 2020
Duration and phases of
the project
Decision/check points
and milestones
Possible ESSnets and CoE
associated to the project and
their duration
Estimated investment costs for MS
and relative size with respect to MS investments
0 < Low < 250 k€ < Medium < 500 k € < High
For circles: area proportional to costs
Estimated development cost for Eurostat
and relative size with respect Eurostat investments
0 < Low < 5 m€ < Medium <10 m€ < High
For circles: area proportional to cost
Estimated development costs: comparative size
Eurostat vs. Member States
Areas of the ESS Vision 2020 served by the project and key benefits
X = main contribution x = other contributions
ESSC decision on
business case
6
Summary by project
7
ESBRs European system of interoperable statistical business registers business project
Purpose of the project
The overall purpose of the project is to upgrade the national statistical business registers (SBRs) and the EuroGroups Register (EGR) to a level that enables the ESS to produce a quality of European business statistics that is not possible today. The level of upgrade is variable depending on the Member State needs as expressed by them. By upgrade it is meant:
• to optimise their potential for data linking.
• to reinforce SBRs’ backbone roles in particular with regard to globalization statistics.
• to develop the organizational and technical pre-requisites to allow the integration of the information from profiling, collected by Member States practicing it, with the EGR information.
• to align across the ESS selected practices in terms of SBR methodology to improve cross-country comparability and the accuracy of European estimates (reduce double counting, inconsistencies, asymmetries).
Overall Status
. tbc .
Project progress
initiating planning execution closing
Time scale
Project Start Date: 01.01.2013
Project End Date: 31.12.2017
Decision points
Nov 2012 ESSC approval of the project
Nov 2014 ESSC review (revised business case)
May 2016 ESSC approval of the ESBRs (Business Architecture and Interoperability
Framework)
What is in the scope
The scope of the ESBRS project is:
• on the basis of a Business Architecture model to propose a realistic and feasible set of rules (concepts, data structures, business register processes, exchange arrangements, organisational and institutional frameworks, etc.) that will constitute the ESBRs Interoperability Framework to be agreed at ESS level. For Member States this implies that – once agreed – these common rules will gradually need to be implemented.
• implementation of the Interoperability Framework (and consequent strengthening of EGR and national SBRs) will start in the second phase of the project. Depending on the national situation, the implementation for the SBRs may well go beyond the scope and timeframe of this project.
• to consolidate the EGR and profiling developments.
Governance ESS
Director Group: BSDG
Working Group: Statistical Units and
Business Registers
Steering Group: ESBRs SG
Expert Group: ---
ESSnet: Yes
Centre of Excellence: Planned in 2016
Governance Eurostat
Project Owner: Maria Helena Figueira
ESTAT dir. G (Global Business
Statistics) Project Manager: Amerigo Liotti
ESTAT G.1 (Business Statistics
- Coordination and Registers)
Steering Group: Yes
Main deliverables
• ESBRs Business Architecture, ESBRs Interoperability Framework.
• Implementation of EGR 2.0, Governance structure for the EGR, Multi-annual common quality program
• Analysis of statistical services for BR.
Expected outcomes
Steps towards a European system of interoperable statistical registers as a backbone for business statistics, including its quality management framework. The full implementation may well go beyond the scope and timeframe of this project.
Inclusion of specific services for SBRs in the ESS catalogue of Statistical Services.
Prerequisites for European Profiling in place.
Participation of MSs to the deployment phase
Opt-in / opt-out is possible
Expected benefits
Improved consistency and quality in business statistics. Improved globalisation measurement. Improved interoperability of SBRs.
Use of a globalised approach to business statistics in describing cross-border phenomena and in particular when it comes to delineating the statistical units to be stored in the SBRs.
Efficiency gains in managing SBRS, through:
• better data handling procedures (avoiding duplication of work due to a lack of common approaches, tools, and remote access facilities)
• synergies and knowledge transfer • sharing of statistical services.
Consequences for MS after development
• Upgrade of the national SBRs, i.e.: optimise data linking; reinforce SBRs’ for globalisation statistics; develop organizational and technical pre-requisites to allow the integration of profiling and EGR information; align SBRs practices and standards.
• Make national SBRs and EGR “talk” to each other; sharing of statistical services (e.g. data validation, matching of units, automatic standardisation of identifying information and the compilation of ‘clusters of control’).
8
ESBRs European system of interoperable statistical business registers overview
ESS Vision 2020
key areas
contribution
Users Quality New Data
Sources
Statistical
Production Communication
Key
benefits
Quality
Improvements
Burden
reduction Cost reduction
x X X X X
Approval of the ESBRs Business
Architecture and Interoperability
Framework
---Execution--- -------Planning------- ---Closing--- --------Initiation---------
ESSC
Project life span
Phases
Expert Group
ESSnet/CoE
Decision points
2013 2014 2015 2016 2017 2018 2019 2020
ESSC (2012)
Today
ESSnet 1 ESSnet 2
2013 2014 2015 2016 2017 2018 2019 2020
9
SIMSTAT Single market statistics business project
Purpose of the project
SIMSTAT is the Eurostat proposal for a new way to organise the production of Intra-
EU trade statistics in order to reduce drastically the burden imposed on businesses
and statistical authorities. The basic idea of SIMSTAT is the exchange of micro-data
on Intra-EU trade among Member States on the basis of the concept that data
collected once within the ESS need not to be collected a second time. Thus, each
transaction reported in one Member State will serve as a data source for two Member
States: first, for compiling the Intra-EU dispatches of the country of dispatch and,
second, for verifying and/or compiling the Intra-EU arrivals of the country of arrival.
Overall Status
. tbc .
Project progress
initiating planning execution closing
Time scale
Project Start Date: 01.06.2012
Project End Date: 15.05.2015
Decision points
May 2012 ESSC approval of the project
Jun 2012 Starting of the project
Nov 2014 ESSC review (progress report)
What is in the scope
The project concerns national authorities (National Statistical Institutes or other
responsible bodies) in the context of Regulation (EC) No 638/2004 and Eurostat.
The project will deal with IT developments and intrinsic statistical aspects of the micro-
data exchange, like data elements to be exchanged, quality of data, the setting up of
the IT infrastructure, the technological aspects (software…), the security issues and
logistical/procedural aspects (timing, guidelines, documentation).
Governance ESS
Director Group: BSDG
Working Group: SIMSTAT Task Force
Steering Group: SIMSTAT SC
Expert Group: ITGS-SG
ESSnet: Yes
Centre of Excellence: No
Governance Eurostat
Project Owner: Maria Helena Figueira
ESTAT dir. G (Global Business
Statistics)
Project Manager: Mushtaq Hussain
ESTAT G.5 (International Trade
in goods)
Steering Group: Yes
Main deliverables
Final deliverable: an information system through which Member States will provide
access to some of their micro-data and will receive relevant micro-data from the other
Member States. As a pilot, this system shall be successfully tested by around 20
Member States.
Other deliverables: feasibility study report, documentation, manuals, recommendations
/ requirements for other corporate-software functionality.
Expected outcomes
Pilot project: successful exchange of relevant micro-data among Member States.
Participation of MSs to the deployment phase
Participation of all MSs is essential
Expected benefits
Main beneficiaries of the project are the EU business. Preliminary estimations show
that a possible reduction in response burden by, e.g. 50% will represent around 155
million € savings annually (the administrative cost of Intrastat requirements is 393,676
million €, the present administrative burden - 317,046 million €).
SIMSTAT will make available a new data source to all Member States for compiling
trade statistics. The possibility to analyse and compare the exchanged data will lead to
an improvement of the quality of data. Consequently, the reputation of European
statistics will be strengthened.
Consequences for MS after development
• exchange of all micro-data on intra-EU exports
• set up the local infrastructure to transmit the
data via secured network (ESDEN project)
• apply a common agreed set of validation rules
• respect the agreed timetable for data exchange
• use the agreed data structure and data elements
• respect the data confidentiality and data security
rules – as the data received from other Member
States are by definition confidential (identifiable
micro-data)
10
SIMSTAT Single market statistics overview
ESS Vision 2020
key areas
contribution
Users Quality New Data
Sources
Statistical
Production Communication
Key
benefits
Quality
Improvements
Burden
reduction Cost reduction
X X X X
ESSC Seminar Seminar
--------Execution-------- -------Planning--------- ----Closing---- --------Initiation---------
ESSC
2013 2014 2015 2016 2017 2018 2019 2020
Project life span
Phases
Expert Group
ESSnet/CoE
Decision points
2013 2014 2015 2016 2017 2018 2019 2020
ESSC
Today
11
REDESIGN Re-design of Intrastat business project
Purpose of the project
The aim of the re-design of REDESIGN project is to respond to the November 2011 call of the Council1 upon the "European Statistical System (ESS) to take the necessary steps in the area of international trade statistics to address current and future user needs and to take effective measures ensuring a substantial reduction of the response burden by redeveloping Intrastat (not excluding the option of a "single flow system"), while maintaining a sound level of quality needed for, e.g., European System of Accounts purposes.”
While the SIMSTAT project designed in request of the 13th ESSC meeting of May 2012 “to test the feasibility of micro-data sharing as proposed in the background paper” will show to the ESSC, through the trial, the fitness of the micro-data on intra-EU exports as an additional data source to compile intra-EU trade statistics, the overall aim of REDESIGN is to provide the ESSC with an evidence base to assess comparatively the different alternatives for re-design of Intrastat.
More specifically, the project will assess the administrative burden reduction and cost-benefit of the options for re-design of Intrastat and elaborate key legal and methodological features of these options. The deliverables of both REDESIGN and SIMSTAT projects will be available for the May 2016 meeting of the ESSC to support the decision on the implementation of SIMSTAT.
Overall Status
. tbc .
Project progress
initiating planning execution closing
Time scale
Project Start Date: 01.12.2014
Project End Date: 01.04.2016
Decision points
Nov 2014 ESSC approval of the project
What is in the scope
This project addresses the ESS Vision 2020 challenge “The price of statistics” and the key strategic area “Efficient and robust statistical processes”. The scope is limited to intra-EU trade statistics and comprises:
• The options for re-designing Intrastat • Their administrative burden reduction and cost-benefit assessment • Their key legal and methodological issues.
It shall maintain synergy with the on-going work under FRIBS and SIMSTAT.
Governance ESS
Director Group: BSDG
Working Group: ITGS (International Trade
in Goods and Services)
Steering Group: No
Expert Group: No
ESSnet: No
Centre of Excellence: No Main deliverables
• Report describing in detail the possible options for re-design of Intrastat by March 2015
• Report assessing the cost-benefit, including risks, and the administrative burden reduction potential of these options by March 2016
• Report analysing key legal and methodological issues of the options for re-design of Intrastat by March 2016
• Reports to the May 2016 ESSC meeting by April 2016.
Governance Eurostat
Project Owner: Maria Helena Figueira
ESTAT Dir. G (Global Business
Statistics)
Project Manager: Karo Nuortila
ESTAT G.5 (International Trade
in goods)
Steering Group: No
Expected outcomes
To provide the ESSC with an evidence base to assess comparatively the different
alternatives for re-design of Intrastat.
Participation of MSs to the deployment phase
Participation of all MSs is essential because the outcome of the project will determine the future orientation of the Intrastat system.
Expected benefits
Main beneficiaries of the project are the EU businesses whose overall administrative burden due to Intrastat is expected to be reduced. Other beneficiaries are:
• Data users and the ESS who would benefit from the modernisation outcome
• Policy makers who would be able to remove Intrastat from administrative burden reduction scrutiny.
Consequences for MS after development
Consequences will depend on the chosen approach.
1 3129th Economic and Financial Affairs Council meeting, November 2011
12
REDESIGN overview
ESS Vision 2020
key areas
contribution
Users Quality New Data
Sources
Statistical
Production Communication
Key
benefits
Quality
Improvements
Burden
reduction Cost reduction
X X X X
ESSC ESSC
---------Execution--------- -------Closing------- --------Initiation---------
2013 2014 2015 2016 2017 2018 2019 2020
Project life span
Phases
Expert Group
ESSnet/CoE
Decision points
2013 2014 2015 2016 2017 2018 2019 2020
-------Planning------
Today
13
VALIDATION Common data validation policy business project
Purpose of the project
The ESS.VIP VALIDATION project started in January 2013. The original proposal was
based on a stakeholder, feasibility and cost-benefit analysis; the project proposal was
presented to and endorsed by the ESSC in November 2012.
The ESS.VIP VALIDATION contributes to the implementation of the ESS Vision 2020
by:
• Creating a more efficient production chain with clearly attributed responsibilities to
the different actors.
• Developing several standards for the description of the validation step, the
description of the validation language, the development of functional specifications
and the use of tools to be potentially shared within the ESS.
• Achieving these targets through collaboration with Member States and
stakeholders.
• Providing a solution adapted to the principles of the ESS Enterprise Architecture.
• The ultimate aim is that data of the highest possible quality is available, with radical
gains in the resources and time needed for the processing and improvement of the
quality of the information disseminated.
Overall Status
. tbc .
Project progress
initiating planning execution closing
Time scale
Project Start Date: 01.01.2013
Project End Date: 01.12.2015
Decision points
Nov 2012 ESSC approval of the project
Jan 2013 Starting of the project
Nov 2014 ESSC green light revision BC
Jan 2015 Start ESSnet
Feb 2015 ESSC revised BC endorsement
What is in the scope
The scope of the project is the validation of European statistics. The project will focus
on common processes and procedures to be shared between different actors of the
statistical production chain in the field of data validation. The project will provide
guidelines and manuals to facilitate the design and agreement of the validation
process, errors and metrics to be applied to statistical domains. The project will also
develop tools for the sharing of validation rules between ESS partners. The use of
these tools will be on a voluntary basis as different stakeholders may opt to use their
own information systems for that purpose.
The scope of IT developments until end 2015 will be limited to develop a prototype to
demonstrate the feasibility of the management of validation rules in a rule registry
concerning datasets that comply with the SDMX information model and are equipped
with SDMX-DSD to describe their structural metadata. The scope of validation service
will be limited to structural validation.
Governance ESS
Director Group: DIME/ITDG
Working Group: ---
Steering Group: ---
Expert Group: TF ESS.VIP Validation
ESSnet: Yes
Centre of Excellence: No
Governance Eurostat
Project Owner: Marcel Jortay
ESTAT dir. E (Sectoral and
regional statistics)
Project Manager: Angel Simon Delgado
ESTAT E.3 (Transport)
Steering Group: Yes
Main deliverables
The main output are methodological guidelines agreed in the ESS, a standard
validation language for describing the validation rules, standard guidelines for
producing validation reports, a prototype of the Graphical User Interface (GUI) for
editing the validation rules, the ESS validation registry containing the agreed validation
rules for exchanging data between ESS partners.
Expected outcomes
Higher harmonisation in statistical data validation procedures and processes, including
the use of standard definitions and concepts related to data validation as well as
sharing of rules used for validating the data exchanged between ESS partners.
Participation of MSs to the deployment phase
Agreed common rules at domain level: compulsory
Tools: opt in / opt out is possible
Consequences for MS after development
• Document the domain specific validation
process in accordance to agreed methodology
• Domain Working Groups agree on the validation
rules and ensure their implementation
• IT solutions will be offered under subsidiarity
and MSs are free to implement them in their
production process
Expected benefits
The expected benefits at ESS level are a global reduction of costs, better quality of the
statistical data, quicker response to changes, less elapsed time for producing
statistical data.
14
VALIDATION Common data validation policy overview
ESS Vision 2020
key areas
contribution
Users Quality New Data
Sources
Statistical
Production Communication
Key
benefits
Quality
Improvements
Burden
reduction Cost reduction
X X X X X
ESSC
---Execution--- -------Planning--------- -----------------------------------Follow-up----------------------------------- --------Initiation---------
ESSC ESSC
2013 2014 2015 2016 2017 2018 2019 2020
Project life span
Phases
Expert Group
ESSnet/CoE
Decision points
2013 2014 2015 2016 2017 2018 2019 2020
ESSC
Today
15
ADMIN Administrative data sources business project
Purpose of the project
The project has a dual purpose: to support the EU Member States to reap the benefits
(decrease costs and burden, increase of data availability) of using administrative data
sources for the production of official statistics, and to guarantee the quality of the
output produced using administrative sources, in particular the comparability of the
statistics required for European purposes. Consequently, the project would foster
common processes and common quality standards.
The project has several strands of work that aim to improve the access to
administrative sources, to improve methodological knowledge needed for integrating
administrative data in statistical production and to provide tools for assessing the
quality of outputs based on administrative sources, as well as to support Member
States in implementing these theoretical outcomes in concrete statistical areas. The
project also includes a pilot initiative in order to get access to administrative data
already collected by the Commission services. Eurostat could benefit a great deal of
this initiative, which could be exported to other domains.
Overall Status
. tbc .
Project progress
initiating planning execution closing
Time scale
Project Initiation Date: 01.06.2012
Project End Date: 01.12.2019
Decision points
Feb 2015 ESSC approval of business case
What is in the scope
The scope of the project covers all business processes of data collection and production in official statistics that could use administrative data sources, i.e. all processes of translating raw data from administrative sources into high quality and efficient statistical output. This includes both outputs produced using a combination of survey data and administrative sources and outputs based only on administrative data (single or multiple sources).The project will only focus on the integration of administrative data sources in statistical production and will not be extended to the broader issues related to Big Data.
The project combines a theoretical dimension (integration and dissemination of statistical methodology, quality indicators) and a practical dimension aiming to implement tangible results of the theoretical work through pilot studies and applications. The project aims to produce outcomes generally applicable or easily adaptable across Member States or groups of Member States. The project is a cross-domain initiative. It will work on generic approaches which in principle should be usable in various statistical domains.
Governance ESS
Director Group: DIME and DSS (other
DGs)
Working Group: ADMIN Preparatory Group
Steering Group: Yes
Expert Group: Yes
ESSnet: Yes (2 ESSnet projects)
Centre of Excellence: Yes
Main deliverables
Work packages and main deliverables:
1. Access to and development of data sources (reports, best practices and recommendations, preparation of long-term EU actions on improving access)
2. Statistical methods (guidelines and best practices)
3. Quality measures for outputs using administrative data (quality indicators and framework for outputs using administrative sources)
4. Eurostat as a (in)direct user of administrative data sources held or designed by the European Commission (reports, replacement of some data flows)
5. Frames for social statistics (report, quality framework for assessing frames, preparation on long term EU actions to increase the quality of frames)
6. Pilot studies and applications (implementation of theoretical results of other WPs) 7. Centre of Excellence on Administrative Data (support and knowledge continuity)
Governance Eurostat
Project Owner: Gallo Gueye
ESTAT dir. F (Social statistics)
Project Manager: Sorina Vâju
ESTAT F.1 (Social statistics -
modernisation and
coordination)
Steering Group: Yes
Expected outcomes
The project will provide harmonized approaches for dealing with the administrative data owners, for integrating the administrative data in statistical production and for assessing the quality of the statistical outputs that use administrative data sources.
Participation of MSs to the deployment phase
Opt-in / opt-out is possible.
Expected benefits
Implementing the outputs of ADMIN is expected to bring the following longer term benefits: Improved access to administrative sources; better relationship with the administrative data owners; more standardised and harmonised production processes; better quality of statistics; lower costs for the NSIs and less burden to the respondents through an increased use of administrative sources.
Consequences for MS after development
• More intense use of administrative data
• Alignment to guidelines/best practices
• Use of established frameworks
• Provide information on working methods
16
ADMIN Administrative data sources overview
ESS Vision 2020
key areas
contribution
Users Quality New Data
Sources
Statistical
Production Communication
Key
benefits
Quality
Improvements
Burden
reduction Cost reduction
x X x X X X
SG = Steering Group
------------------------------------------------------------------Execution------------------------------------------------------------ -------Planning------- ---Closing--- --Initiation--
ESSC
2013 2014 2015 2016 2017 2018 2019 2020
Project life span
Phases
Expert Group
ESSnet/CoE
Milestones
2013 2014 2015 2016 2017 2018 2019 2020
SG SG SG SG
Today
Preparatory expert group Steering Group
ESSnet CoE
17
DARA Decentralized and remote access to EU confidential statistical data in the ESS cross-cutting
Purpose of the project
The purpose of the project is to involve safe centres in NSIs in the provision of access
to European confidential data. Safe centres in NSIs would become access facilities in
the meaning of Regulation (EU) 557/2013 on access to confidential data for scientific
purposes. Currently there is only one safe centre (in Eurostat in Luxembourg) where
researchers may have access to secure use files (CIS-Community Innovation Survey
and SES-Structure of Earnings Survey). The objectives of this project are:
• To accredit safe centres located in the Member States, • To ensure secure connections between them and a central secure IT environment
where secure use files will be stored and • To develop the secure IT environment in the Commission that will host the hardware
and software infrastructure needed for the researchers’ access including the management of the applicable access procedures and access rights.
The collaborative ESSnet DARA project involving partners from five countries has
already provided a good basis for the actual development of the remote access system
for safe centres.
Overall Status
. tbc .
Project progress
initiating planning execution closing
Time scale
Project Initiation Date: 01.09.2014
Project End Date: 01.06.2017
Decision points
Feb 2015 ESSC approval of business case
What is in the scope
The scope of the project is limited to:
• The safe centres in NSIs that will have been successfully accredited as access facilities
• EU secure use files prepared together with NSAs for research use, in particular CIS and SES data
Governance ESS
Director Group: DIME
Working Group: Confidentiality WG
Steering Group: No
Expert Group: ---
ESSnet: Yes
Centre of Excellence: No
Main deliverables
1. Detailed design of end to end workflow and working procedures that will enforce the necessary controls over sharing datasets based on researchers’ projects. Workflow will also include the steps and controls for output checking so that data is extracted only with appropriate authorization.
2. Development and setup of an operational process for an information system that will model the process and procedures, along with a workflow system that will enable researchers to access remotely a secure IT environment in which the confidential statistical data is stored, and in which analysis can be executed and results extracted thru an output control process.
3. Development and implementation of a remote access system that will allow authorized researchers to remotely access and use the above mentioned information system. Agreement on and implementation of the operational processes required to maintain this remote access system operational within the specified requirements outlined (see point 2 above).
4. Assessment of the potential to extend the access facilities to further microdata sets.
Governance Eurostat
Project Owner: Mariana Kotzeva
ESTAT dir. B (Methodology, Corporate statistical and IT
services)
Project Manager: Aleksandra Bujnowska
ESTAT B.1 (Methodology and
Corporate Architecture)
Steering Group: Yes
Expected outcomes
The objective of this project is the implementation of the concept of access facilities via development of the network of the safe centres in NSIs. At the end of the project, a researcher interested in access to secure use files (non-anonymised confidential statistical data, in particular EU Community Innovation Survey and EU Structure of Earnings Survey) should be able to access remotely the secure-use files stored in a Eurostat secured IT environment from the national safe centres.
The successful implementation of the concept of decentralized safe centres will depend on the administrative procedures (accreditation) and IT developments (secure remote access to EU confidential statistical data).
Participation of MSs to the deployment phase
Opt-in / opt-out is possible
Expected benefits
• Bring the data closer to their users, the researchers;
• Increase the usage possibilities of EU confidential statistical data currently available only in Eurostat safe centre.
DARA will allow researchers to access the secured IT environment with secure use files from local NSIs without having to travel to Luxembourg.
Consequences for MS after development
1. Build a safe centre in NSI (if not existing) – equipped physical space; devote a Support Officer and Security Officer (IT side)
2. Accreditation of the safe centre - contract with Eurostat for providing access to EU microdata
3. Follow the contract rules when providing access to microdata – ensure space and HR is available
18
DARA Decentralized and remote access to EU confidential statistical data in the ESS overview
ESS Vision 2020
key areas
contribution
Users Quality New Data
Sources
Statistical
Production Communication
Key
benefits
Quality
Improvements
Burden
reduction Cost reduction
x X X
---Initiation--- -------------Execution------------- ---Planning----
-----
-----Closing-----
ESSC
2013 2014 2015 2016 2017 2018 2019 2020
Project life span
Phases
Expert Group
ESSnet/CoE
Decision points
2013 2014 2015 2016 2017 2018 2019 2020
Decision on accredited
safe centres
Today
19
ESDEN European statistical data exchange network cross-cutting
Purpose of the project
In the production of ESS statistics, large volumes of data are exchanged between the
ESS partners. Around 95% of this data exchange takes place via the Single Exchange
Point (SEP) of Eurostat. The implementation of several ESS.VIP projects will
significantly increase the volume of data exchanged.
The Eurostat IT platform for this data exchange (EDAMIS) is reaching its capacity limit
and will not be able to cope with the needs following the ESS.VIP.BUS projects such
as SIMSTAT and ESBRs.
What is more, different IT environments and security policies among the ESS
members call for an open infrastructure that allows for interconnection of the ESS
members using different physical networks and standard communication protocols to
foster the interoperability.
The purpose of ESDEN is the modernisation of the data exchange services across the
ESS. This should be achieved by upgrading the IT platform at Eurostat and by offering
to ESS Members standard communication protocols and alternatives for the physical
networks. ESS Members would set up the data exchange according to their security
policies and infrastructure environments.
Overall Status
. tbc .
Project progress
initiating planning execution closing
Time scale
Project Initiation Date: 01.06.2013
Project End Date: 31.12.2018
Decision points
Feb 2015 ESSC approval of business case
What is in the scope
The scope of ESDEN is the modernisation of the services offered to the ESS for data exchange in order to increase the capacity and improve the interoperability and security to cope with the increasing needs of the ESS.
This project will focus mainly on:
• the upgrade of the Eurostat IT platform for data exchange (EDAMIS).
• the implementation of standard secure protocols for the communication.
• the interconnection of the ESS partners using the most convenient physical network depending on the possibilities of the IT and security restrictions identified.
Depending on the options chosen during the execution of the project, the cost at Eurostat side may vary between low and high.
Governance ESS
Director Group: ITDG
Working Group: SISAI
Steering Group: ---
Expert Group: ---
ESSnet: 2016
Centre of Excellence: No
Governance Eurostat
Project Owner: Mariana Kotzeva
ESTAT dir. B (Methodology, Corporate statistical and IT
services)
Project Manager: Alvaro Diez Soto
ESTAT B.3 (IT for statistical
production)
Steering Group: ---
Main deliverables
• Configuration of the network CCN1/CSI (Commission network) in order to be available for SIMSTAT and in the future for other potential projects based on the exchange of data.
• Upgrade of the Eurostat IT platform (EDAMIS) integrating standard secure protocol for data exchange.
• Integration of different physical networks for the data exchange (Internet, CCN,
sTESTA) depending on the needs of the ESS.
Expected outcomes
The upgrade of the data exchange services in the ESS that will provide needed exchange capacity and scalability, and the technical measures to protect confidential data according to the existing legal framework.
The upgraded Eurostat IT platform (EDAMIS) will allow the connection using different physical networks and standard protocols for the data exchange according to the needs of the ESS.
Participation of MSs to the deployment phase
Participation of all MSs is essential
Depending on the execution and options chosen by
the MS, the costs per MS may vary between very
low and low.
Expected benefits
The modernisation of the data exchange services will foster the interoperability within the ESS and will contribute to the implementation of the ESS Vision 2020 by enabling:
• secure exchange of data and metadata with high agility, high security and high reliability.
• facilitate the usage of new data sources in the production of statistics.
• high volume of data (big data or micro-data) exchange.
Consequences for MS after development
• Possibility to exchange more data and metadata
• Usage of standard communication protocols for the data exchange.
• Possibility to use different physical networks for the data exchange depending on IT and security requirements.
20
ESDEN European statistical data exchange network overview
ESS Vision 2020
key areas
contribution
Users Quality New Data
Sources
Statistical
Production Communication
Key
benefits
Quality
Improvements
Burden
reduction Cost reduction
X X X
ESSC
--------------------Execution-------------------- ---Planning--- ----------Closing---------- ---Initiation---
ESSC
2013 2014 2015 2016 2017 2018 2019 2020
Project life span
Phases
Expert Group
ESSnet
Decision points
2013 2014 2015 2016 2017 2018 2019 2020
Today
ESSC ESSC
21
SERV Shared Services cross-cutting
Purpose of the project
The purpose of the project is to:
• Implement a governance structure to enable sharing of services (e.g. service certification procedures); to choose at ESS level how to make a service available, i.e. by replication in a national production process or by exposing a service on a central ESS/Eurostat service oriented architecture (SOA).
• Contribute to standardising the description of business needs by providing CSPA (Common Statistical Production Architecture) compliant guidelines for describing service definitions.
• Host and maintain a CSPA service catalogue at the Commission/Eurostat, containing also services identified at ESS level.
• Provide guidelines and recommendations for the ESS enabling national projects to realise technological solutions for industrialisation and integration of processes and for the rationalisation of information systems.
Overall Status
. tbc .
Project progress
initiating planning execution closing
Time scale
Project Initiation Date: 01.06.2013
Project End Date: 31.12.2019
Decision points
Feb 2015 ESSC approval of business case
What is in the scope
SERV aims at creating the conditions for sharing statistical services and supporting their integration in statistical production processes at national, ESS and Commission level.
Governance ESS
Director Group: ITDG
Working Group: SISAI
Steering Group: ---
Expert Group: Yes
ESSnet: 2015
Centre of Excellence: No
Main deliverables
• Guidelines allowing for sharing (by replication of services or by exposing them
centrally) of statistical services across processes and among partners in the ESS
and Eurostat (Commission).
• Recommendations for governance of statistical services; including the setup of an
(ESS) service certification committee and maintenance of an ESS service catalogue
as part of the CSPA service catalogue.
• Hosting and maintenance of the CSPA service catalogue by the
Commission/Eurostat.
• An ESS/Eurostat SOA infrastructure that can be used by the ESS, Eurostat, other
Commission DGs to expose those statistical services for which no replication is
necessary.
Governance Eurostat
Project Owner: Mariana Kotzeva
ESTAT dir. B (Methodology, Corporate statistical and IT
services)
Project Manager: Gergely Koevesd
ESTAT B.3 (IT for statistical
production)
Steering Group: ---
Expected outcomes
• ESS governance put in place for sharing services; standards and framework for
interoperability, based on recommendations from CSPA and ESS Reference
Enterprise Architecture.
• CSPA compliant guidelines for describing statistical services available for the ESS
and a CSPA service catalogue (or a CSPA compliant version) available for
registering ESS statistical services, hosted and maintained by the European
Commission/Eurostat (a follow up action to the CSPA 2014 implementation project).
• A central ESS/Eurostat SOA infrastructure is available for sharing services for which
no replication into a national production process is needed.
Participation of MSs to the deployment phase
Opt-in / opt-out is possible for the IT tools developed
Expected benefits
1. Easier access to information at ESS level about statistical services definition including the implementations realised (software components).
2. Facilitation of faster implementation of new production processes. 3. Cost reduction on development and maintenance of information systems. 4. Easier maintenance of information systems: sharing of services will reduce the
variety of components to be maintained in a particular organisation.
Consequences for MS after development
• Participation in the Service Certification Committee; following changes of contents of the Service Catalogue.
• Describe re-usable services according to the defined guidelines and templates; ensuring hosting if necessary.
• Integrate re-usable services to MS environment.
22
SERV Shared Services overview
ESS Vision 2020
key areas
contribution
Users Quality New Data
Sources
Statistical
Production Communication
Key
benefits
Quality
Improvements
Burden
reduction Cost reduction
X X
------------------------------Execution------------------------------ -------Planning--------- -------Closing------- -
Initiation
ESSC
2013 2014 2015 2016 2017 2018 2019 2020
Project life span
Phases
Expert Group
ESSnet/CoE
Decision points
2013 2014 2015 2016 2017 2018 2019 2020
Today
ESSC ESSC
23
DW ESS data warehouse cross-cutting
Purpose of the project
The purpose of the project is to implement an ESS data warehouse (DW) as a
common infrastructure for the purpose of integrating and disseminating data from
disparate sources for the benefit of the ESS. The idea is that all ESS members can
publish and consume data to a dedicated data integration environment from which
exploitation of data can start (data pool approach). This solution concerns only non-
confidential data (i.e. issues related to micro-data access are not at stake). The project
builds on the recommendations of the Centre of Excellence on DW (CoE DW). A set of
re-usable data integration services and dedicated storage space will specifically be
allocated to the ESS DW. Standard data and metadata management services should
be developed according to the Common Statistical Production Architecture (CSPA)
and provide a common language for describing Extract-Transform-Load (ETL) flows
feeding the ESS DW. These components are expected to be re-usable at national
level (as replicated or shared services). Services provided will allow integrating various
sources (i.e. not only SDMX sources) without requiring important costs on the side of
the data provider. The approach aims at complementing developments of the other
cross-cutting projects of the ESS Vision Implementation Portfolio (i.e. ESDEN, IMS,
SERV, VALIDATION) to setup an ESS DW platform.
Overall Status
. tbc .
Project progress
initiating planning execution closing
Time scale
Project Initiation Date: 01/02/2013
Project End Date: 31/12/2019
Decision points
May 2015 ESSC approval of business case
What is in the scope
The project covers the production of a detailed functional and technical design leading to the implementation of an ESS DW platform (for dissemination purposes). The project covers the planning of pilot data integrations, the setup of governance (for the platform and the content) and the deployment of an operational capability supporting post-project functioning of the system.
Governance ESS
Director Group: ITDG
Working Group: No
Steering Group: No
Expert Group: No
ESSnet: No
Centre of Excellence: Yes
Main deliverables
The project starts with a 1-year "panning & design" phase that will produce the following deliverables: • Business requirements for an ESS DW • ESS DW functional architecture and governance • Metadata designs • ESS DW processes • Methods for data linking • Consolidated ESS DW design document The initial phase ends with a consolidation of available material, consultation of external recognised experts to confirm the design and presentation to the approving authority. After having received the green light for implementation, activities will focus on the development of the ESS DW technological architecture and the setup of the platform including testing and piloting. Following activities will concern the implementation of the governance as well as the grouping, prioritisation and planning of data source integrations.
Governance Eurostat
Project Owner: Mariana Kotzeva
ESTAT dir. B (Methodology, Corporate statistical and IT
services)
Project Manager: Denis Grofils
ESTAT B.1 (Methodology and
Corporate Architecture)
Steering Group: No
Expected outcomes
The ESS DW will be defining and implementing a reference platform and standard services allowing interoperability among different organizations involving the exchange/sharing of data and metadata between their respective information systems addressing specific issues of data warehousing including data storage, data integration and data exchange. This approach supports standardisation of methods and software, and enables sharing services and infrastructures for data and metadata management.
Participation of MSs to the deployment phase
Opt-in / opt-out is possible
Expected benefits
This project supports business initiative in the "dissemination" and "user needs" priority areas of the ESS Vision 2020 and is part of the "efficient and robust statistical processes" priority area. It implements recommendations of the CoE DW for the establishment of a DW repository and services as an infrastructural building block supporting the EU Data Pool. Data will be easier to reuse (“collect once, use many times”) and more efficient governance and maintenance will be enabled. Over time a reduction of data integration costs of European data output in the broad sense of the term is expected. The project is also expected to provide a basis on which an extended concept of ESS DW could be developed in the future.
Consequences for MS after development
• Use of common dissemination standards
• Use of the reference platform and standard
services for dissemination of European
statistics
• Use of standard software and tools for sharing
infrastructures for data and metadata
management
24
DW ESS data warehouse overview
ESS Vision 2020
key areas
contribution
Users Quality New Data
Sources
Statistical
Production Communication
Key
benefits
Quality
Improvements
Burden
reduction Cost reduction
x X X X X
ESSC
------------------------------------------Execution------------------------------------------ ------Planning------ Closing -----------------Initiation------------------
ESSC
2013 2014 2015 2016 2017 2018 2019 2020
Project life span
Phases
Expert Group
ESSnet/CoE
Decision points
2013 2014 2015 2016 2017 2018 2019 2020
ESSC ESSC ESSC
Today
CoE
25
IMS Information models & standards framework
Purpose of the project
The IMS project supports the priority area of "efficient and robust statistical processes"
in the ESS Vision 2020 as an enabler for intensified sharing of knowledge,
experiences and methodologies, software, data and metadata, services and
resources.
IMS provides a framework supporting business domains (and the various projects
implementing the ESS Vision 2020) in the area of information standards for:
• Implementing existing standards, such as SDMX and other related standards;
• Adopting and fine-tuning standards where gaps are identified, for instance as far as
micro-data from statistical surveys are concerned;
• Developing capacity to support domain-specific implementations of standards;
• Supporting the development of standards-based infrastructure components;
• Enabling data and metadata re-use between activities and organisations: this covers
the interoperability of infrastructure components as well as the support to machine-
readable exchange and dissemination of statistics.
IMS provides the standards for the key business ESS.VIPs such as SIMSTAT,
ESBRs, VALIDATION, BIGD.
Overall Status
. tbc .
Project progress
initiating planning execution closing
Time scale
Project Initiation Date: 01.03.2013
Project End Date: 01.12.2017
Decision points
May 2015 ESSC approval of the project
What is in the scope
The Enterprise Architecture (EA) framework supporting the ESS Vision 2020 implementation advocates a strong separation of concern and strict decoupling between four considered architectural layers: business architecture, information architecture, solution architecture and technology architecture. The IMS project is dealing with business architecture and information architecture layers. Domain specific business architecture standards are not in the scope of this project but generic ones (e.g. GSBPM) and process information models (e.g. BPMN) are.
Governance ESS
Director Group: DIME/ITDG
Working Group: ---
Steering Group: ---
Expert Group: Yes
ESSnet: No
Centre of Excellence: No
Governance Eurostat
Project Owner: Mariana Kotzeva
ESTAT dir. B (Methodology, Corporate statistical and IT
services)
Project Manager: Marco Pellegrino
ESTAT B.1 (Methodology and
Corporate Architecture)
Steering Group: ---
Main deliverables
• Guidelines on information standards in support of survey data, administrative data
and web data collection.
• Survey and report on the state of metadata-driven data collections in the ESS.
• Report quantifying the benefit of the metadata-driven approach, with
recommendations on how to implement it and migrate.
• Reference models for implementing GSBPM and GSIM.
• Functional specifications for the next-generation metadata registry supporting a
combined use of standards in end-to-end metadata-driven processes.
• Support actions to domain-specific implementation of information model and
standards (e.g. ESS.VIPs: SIMSTAT, ESBRs, VALIDATION, BIGD).
Expected outcomes
The adoption of standards for statistical production improves comparability of statistical
outputs and ensures smooth communication between and within systems, making
process components interoperable. Furthermore, increasing the re-use of metadata
and software components allows reducing costs and improving quality by promoting
the use of widely accepted building blocks. Flexibility and responsiveness to new use
needs is also expected to be improved as processes are configured transparently with
the use of metadata parameters not embedded in local software.
Participation of MSs to the deployment phase
The agreement of all MSs is essential to define and pursue commonly agreed standards
Opt-in / opt-out is possible for the IT tools
developed
Expected benefits
The main expected benefits are the following:
• Increased quality of end-products
• Reduced operating costs
• Reduced time-to market
• Harmonisation
Consequences for MS after development
• Adoption of agreed standards in the identified areas related to the production of European Statistics, notably in the area of data transmission
26
IMS Information models & standards overview
ESS Vision 2020
key areas
contribution
Users Quality New Data
Sources
Statistical
Production Communication
Key
benefits
Quality
Improvements
Burden
reduction Cost reduction
x x X X X
---Execution--- --Planning-- -Closing- ----------------Initiation-----------------
ESSC
2013 2014 2015 2016 2017 2018 2019 2020
Project life span
Phases
Expert Group
ESSnet
Decision points
2013 2014 2015 2016 2017 2018 2019 2020
Today
ESSC ESSC
27
BIGD Big Data business project
Purpose of the project
As stated in the Scheveningen Memorandum, recent innovations in the information
and communication technologies have been leading to an increasing degree of
digitization of economies and societies. That offers new opportunities for the
compilation of statistics, while the use of Big Data for statistical purposes challenges
the European Statistical System to effectively address a variety of issues.
The overall objective of this project is to implement the ESS Big Data Action Plan 1.0
approved by the ESSC in September 2014 and any subsequent version thereof
adopted during the lifetime of the project. The overall purpose of the project is to
enable the ESS to gradually integrate big data sources into the production of European
and national statistics and, in this way, contribute to the broader aims of the ESS
Vision 2020.
Overall Status
. tbc .
Project progress
initiating planning execution closing
Time scale
Project Initiation Date: 01.10.2014
Project End Date: 31.05.2020
Decision points
May 2015 ESSC approval of business case
What is in the scope
The project contains actions related to horizontal areas as well as actions related to the execution of pilots. The purpose of the pilots is to gain experience in using big data in the context of official statistics. This would include identifying, analysing and solving issues in horizontal areas or topics as well as investigating and developing future business models for statistical data production related to specific data sources or statistical products. The project will not cover issues related to administrative data.
Governance ESS
Director Group: DIME/ITDG
Working Group: No
Steering Group: Yes: VIG
Expert Group: ESS – TF BD
ESSnet: Yes
Centre of Excellence: No Main deliverables
There will be a variety of deliverables including methodological manuals, ethical guidelines, classifications, frameworks, tools and development of dedicated collaborative communities in the following topics:
• Policy � Communication
• Big data sources � Applications / pilots
• Methods � Quality
• IT infrastructure � Skills
• Experience sharing � Legislation
• Governance The deliverables are included in section 5 of the Big Data Action Plan and Roadmap 1.0 (see link below). Those actions, which should be performed by an ESSnet, are currently being specified more in detail.
Governance Eurostat
Project Owner: Mariana Kotzeva, ESTAT DDG Project Manager: Michail Skaliotis
ESTAT DDG.TF.BD (Task Force
Big Data)
Steering Group: TBD (all ESTAT dir. represented)
Participation of MSs to the deployment phase
Opt-in / opt-out is possible
Expected outcomes
The expected outcome is to provide the ESS with the necessary elements to respond to the data revolution and integrate new data sources into official statistical production. A description of expected outputs by topic can be found at the main ESSC document: http://www.cros-portal.eu/sites/default/files//ESSC%20doc%2022_8_2014_EN_Final%20with%20ESSC%20opinion.pdf
Consequences for MS after development
In general, the portfolio of activities of a statistical office might change to:
• incorporate accreditation of third-party data sources and processes
• move from data collection to data management and data integration
• foster greater collaboration and integration within the ESS (many big data sources are not confined to national borders)
• foster greater interdisciplinary / multi-stakeholder collaboration at national and international levels
• Data sources are very heterogeneous, implications depend on how future production processes would be implemented (e.g. raw versus aggregate data; concentrated versus distributed production). Consequences relate to investing in IT infrastructure, skills development, implementation of dynamic systems to observe technological, market or behavioural changes that might affect quality of statistics, adaptation of national statistical legislation.
Expected benefits
Benefits of the project include a potential reduction in the costs of producing official statistics, the possibility of widening the range of statistical products, increases in the timeliness of official statistics and a reduction of the general public’s use of “non-compliant”, “alternative” statistics produced by other actors. The project presents a unique ESS collaborative platform towards implementing several strands of the ESS Vision 2020.
28
BIGD Big Data overview
ESS Vision 2020
key areas
contribution
Users Quality New Data
Sources
Statistical
Production Communication
Key
benefits
Quality
Improvements
Burden
reduction Cost reduction
x X x X X X
---Closing--- ------------------------------------------------------------------Execution--------------------------------------------------------------------- --------Planning-------- ---Initiation--
ESSC
2013 2014 2015 2016 2017 2018 2019 2020
Project life span
Phases
Expert Group
ESSnet/CoE
Milestones
2013 2014 2015 2016 2017 2018 2019 2020
ESSC ESSC ESSC ESSC Work
shop Work
shop Work
shop
Work
shop
Today
ESSnet
TF Big Data
29
DIGICOM digital communication framework
Purpose of the project
The project aims at modernising communication and dissemination of European
statistics, statistical information and services by using the latest technical,
methodological advancements and state of the art.
The project will be split in dedicated subprojects. Among them the following have
already been identified (the remaining enabling projects will be initiated and planned in
2015, beginning 2016):
Data Visualisation and Infographics: just publishing numbers in a table or graph is not
very attractive for users, basic as well as professional ones, nor does it provide a
modern image of national statistical offices & statistics in general. Consequently,
additional ways to display data have to be explored and deployed.
Statistics Explained: electronic "wiki" articles on European Statistics – the work will
consist in identify suitable articles, i.e. topics of interest for a large public, based on .
structural source data, harmonised methodology and relying on European and national
data.
Overall Status
. tbc .
Project progress
initiating planning execution closing
Time scale
Project Initiation Date: 15.11.2014
Project End Date: 31.05.2020
Decision points
What is in the scope
Communication and dissemination of European statistics, statistical information and services.
Data Visualisation and Infographics: statistics with the potential for modern visualisation
Statistics Explained: relevant articles on European and national statistics
Governance ESS
Director Group:
Working Group: Communication WG
Steering Group: ---
Expert Group: TF Statistics Explained
TF Data Visualisation and
Infographics
ESSnet: ---
Centre of Excellence: ---
Main deliverables
To be specified at technical level for the sub-projects to be developed.
Data Visualisation and Infographics: modern visualisation products associated to European statistics; tools for visualisation.
Statistics Explained: enhanced availability of articles on European and national statistics Governance Eurostat
Project Owner: Mariana Kotzeva
ESTAT Dir B (Methodology;
corporate statistical and IT
services) Project Manager: Philippe Bautier
ESTAT B4 (Dissemination)
Steering Group: ---
Expected outcomes
To improve the ease of users’ access to and use of European statistics by applying solutions based on data pooling, open data, modern visualisation tools, mobile communication technologies, use of social media etc.
Participation of MSs to the deployment phase
Opt-in / opt-out is possible
Expected benefits
Dissemination of European and national statistics built up taking into account the societal trends in communication, the technological evolution and users' needs.
Consequences for MS after development
To be identified depending on the initiated sub-
projects
Implementation of modern dissemination approaches
and tools.
30
DIGICOM digital communication overview
ESS Vision 2020
key areas
contribution
Users Quality New Data
Sources
Statistical
Production Communication
Key
benefits
Quality
Improvements
Burden
reduction Cost reduction
X X
---Pre-Initiation-- ---Planning--- ---Initiation--
2013 2014 2015 2016 2017 2018 2019 2020
Project life span
Phases
Expert Group
ESSnet/CoE
Milestones
2013 2014 2015 2016 2017 2018 2019 2020
ESSC ESSC
TF Data Visualisation
TF Statistics Explained
Today
31
QUAL Quality of European statistics framework Purpose of the project
Quality is one of the ESS's key assets and comparative advantages in a world experiencing a growing trend of instant information which often lacks the necessary “proof of quality”. The ESS values quality not only for its core products and processes, but also for its institutions as a whole, for overall management, organisation, and governance. As indicated in the ESS Vision 2020, to retain its strengths, the ESS developments will be guided by quality in all areas and activities. This will be achieved by adhering to United Nations Fundamental Principles of Official Statistics, the European Statistics Code of Practice as well as general quality management principles including leadership, partnership, staff satisfaction and continuous improvement. In accordance with the description of the ESS Vision 2020 Implementation Portfolio, the purpose of the ESS.VIP.QUAL are:
• to enhance quality management through defining and implementing fit-for-purpose quality assurance methods and tools;
• to monitor and improve the usability and quality of data sources (both existing and new ones); and
• to enhance the implementation of the general quality management principles.
Overall Status
. tbc .
Project progress
initiating planning execution closing
Time scale
Project Start Date: to be decided (2015)
Project End Date: to be decided (2020)
Decision points
What is in the scope
Following the December 2014 meeting of the WG on quality in statistics, the scope of the QUAL project could cover the following:
• Introduction of total quality management and broadening the scope of the ESS CoP: explore and enable the development of general quality management principles not fully addressed by the European Statistics Code of Practice (CoP) based on a generic model; mapping the QM System of the ESS as a whole as compared to such generic quality management model; recommendations and guidelines (quality management models and systems) and their implementation.
• Quality assurance of the ESS: enhancing the current framework; preparing the ground for differentiated / fit-for-purpose quality assurance; establishing the link to risk management (developing and operationalising the "fit-for-purpose" concept / labelling; exploring different business models for different products portfolios; relationship between quality and risk management)
• Quality reporting, communication on quality: enhancing implementation of the existing achievements - SIMS, quality indicators, reporting guidelines and Handbook on quality reporting; framework for managing quality and reporting for new data sources -multi-sources / mix mode statistical production; scorecards / scoreboards including relevant quality dimensions; improving international comparability.
• Cost of (non) quality: feasibility and case studies; recommendations; cost of quality / non-quality.
On-going and past quality initiatives will be duly taken into account. This project is of a nature to support all priority areas of the ESS Vision 2020.
Governance ESS
Director Group: DIME
Working Group: WG on Quality in statistics
Steering Group: to be considered
Expert Group: Task forces / other to be
considered
ESSnet: To be considered
Centre of Excellence: To be considered
Governance Eurostat
Project Owner: Eduardo Barredo Capelot
ESTAT Dir D (Government
finance statistics and quality) Project Manager: Zsuzsanna Kovacs
ESTAT D.4 (GFS Risk and
quality management)
Steering Group: Yes
Main deliverables
Main deliverables will be identified during Q1/2015 with the support of the WG Quality in Statistics and a dedicated TF created to prepare the QUAL business case.
Participation of MSs to the deployment phase
Yes, to be further considered
Expected outcomes
The main outcomes of the projects will be as follows:
• establishing the framework for an integrated / total quality management in the ESS allowing for proper coordination of quality related in initiatives in the ESS;
• preparing the ground for differentiated quality assurance in the ESS and labelling;
• improved communication of quality to users;
• first estimations on the cost of (non) quality.
Consequences for MS after development
Alignment to the quality principles and procedures
of the selected quality strands.
Expected benefits
The main benefits of the projects will be as follows:
• continued pubic trust in European statistics; continued users satisfaction
• sustainable high quality of European statistics; enhancements where needed
• streamlined and harmonized approach to quality clearly communicated to users
• support to the business model of producing official statistics, i.e. as public good
This fiche was prepared by Eurostat based on the current state of development of the project, in particular the discussions in the WG on Quality in Statistics of 2 December 2014. It will further benefit from input of the VIG and of from the WG on quality / related TF to be created.
32
QUAL Quality of European statistics overview
ESS Vision 2020
key areas
contribution
Users Quality New Data
Sources
Statistical
Production Communication
Key
benefits
Quality
Improvements
Burden
reduction Cost reduction
X X
--------Planning------- ---Initiation--
2013 2014 2015 2016 2017 2018 2019 2020
Project life span
Phases
Expert Group
ESSnet/CoE
Milestones
2013 2014 2015 2016 2017 2018 2019 2020
ESSC
Today
ESSC
33
UA/IPROD Users analytics / Innovative products framework
Purpose of the project
Regular and timely analysis and prioritisation of user needs leading to the
development of relevant and modern products that will meet changing user needs and
improve users’ ‘statistical literacy’
The project will aim at
• performing an in-depth analysis of current and future user needs and the available
products,
• taking into account different users' profiles;
• developing a tool to monitoring user needs and product relevance and use;
• developing criteria for prioritisation of user needs;
• developing labs for innovative statistical products;
• setting-up a training offer for users of statistical information.
Overall Status
. tbc .
Project progress
initiating planning execution closing
Time scale
Project Initiation Date: 15.11.2014
Project End Date: 31.05.2020
Decision points
Feb 2016 ESSC approval of the projects
What is in the scope
Assessment of users' needs in relation to (European) statistics.
Identification and development of innovative products and services for (European) statistics
Governance ESS
Director Group: DIME
Working Group: ---
Steering Group: ---
Expert Group: ---
ESSnet: ---
Centre of Excellence: ---
Main deliverables
• In-depth analysis of current and future user needs and the available products,
• Identification of differnt users' profiles;
• tool for monitoring user needs
• tool for monitoring product relevance and use;
• establishment of criteria for prioritisation of user needs;
• labs for innovative statistical products;
• training for users of statistical information
To be further specified at technical level for the sub-projects to be developed.
Governance Eurostat
Project Owner: Mariana Kotzeva
ESTAT Dir B (Methodology;
corporate statistical and IT
services) Project Manager: ---
Steering Group: ---
Expected outcomes
To improve the dialogue with users for a better matching with their requirements.
Systematic approach to users' requirements.
Process to ensure continuous innovation in products and services.
Participation of MSs to the deployment phase
Opt-in / opt-out is possible
Expected benefits
European statistics better fitted for purpose.
Consequences for MS after development
• To be identified depending on the initiated sub-
projects
• Implementation of a user oriented approach to
statistics.
34
UA/IPROD Users analytics / Innovative products overview
ESS Vision 2020
key areas
contribution
Users Quality New Data
Sources
Statistical
Production Communication
Key
benefits
Quality
Improvements
Burden
reduction Cost reduction
X X X X
---Pre-Initiation-- ---Planning--- ---Initiation--
2013 2014 2015 2016 2017 2018 2019 2020
Project life span
Phases
Expert Group
ESSnet/CoE
Milestones
2013 2014 2015 2016 2017 2018 2019 2020
ESSC ESSC
Today