Transcript EGR_Statistics Netherlands_finalx

TOWARDS INTEROPERABLE STATISTICAL BUSINESS
REGISTERS
Harrie van der Ven
Project manager ESSnet EGR
January 2014
Valencia
Euro Groups Register
a complex project with an intensive cooperation between Eurostat, NSI’s, ESSnet and
IT service provider s
ESSnet partners during the MEETS program:
Objective of the Euro Groups register
The Euro Group Register (EGR) provides
an infrastructural element
for the production of coordinated and consistent
statistical output on globalisation in EU
The EGR should become the “backbone” for statistics on
globalisation by offering a register of statistical units to be used
for deriving frame populations by all statistical authorities of
EU+EFTA
The issue: FATS discordance
N of Enterprises
Mining and quarrying
Turnover
Persons
employed
0%
162%
Manufacturing
138%
115%
118%
Electricity, gas, steam and air conditioning supply
120%
125%
111%
Water supply; sewerage, waste management and remediation activities
88%
460%
129%
Construction
84%
21%
60%
Wholesale and retail trade; repair of motor vehicles and motorcycles
67%
71%
56%
Transportation and storage
150%
122%
101%
Accommodation and food service activities
232%
57%
57%
Information and communication
124%
81%
92%
Real estate activities
357%
11000%
Professional, scientific and technical activities
195%
94%
97%
Administrative and support service activities
166%
73%
108%
Total
118%
92%
89%
Outward FATS (DE-FI-FR-UK) in % of Inward FATS (NL)
What has been
achieved in the
MEETS program?
EGR frame population methodology
 The concept of ‘frame population methodology’ refers to a
method, rules and procedures for defining and using frame
populations in statistical activities.
 The ESSnet EGR developed a such a methodology for FATS
statistics: Outward FATS and Inward FATS including operational
rules to be applied in data quality management for national
statistical business registers as well as EGR.
 The ESSnet EGR developed a statistical service for statisticians to
select coordinated frame populations for FATS statistics (ready
for use)
EGR frame population service:
selecting coordinated populations for FATS statistics ( a screen
shot)
EGR Identification service
 The EGR concept is based on a collaborative system of
national and central business registers
 The unique identification of legal units and statistical
units is a core critical requirement for a successful
implementation of this concept
 The ESSnet EGR developed a service for a unique
identification of legal units worldwide to be used by
business registers staff as well as statisticians
EGR identification service: identifying
legal units worldwide (a screen shot)
EGR process and information models
A collaborative network requires common process,
information and data models, guidelines etc. The ESSnet
EGR designed and still is designing such models.
A sustainable EGR needs
more:
INTEROPERABILITY
Lack of interoperability (1)
Present situation (at national as well as EU level):
1. No standard on creation of frame populations (different
models: frozen frames, ‘live’ frames)
2. No standard on the maintenance of frame populations:
different ways of dealing with ‘errors’ and time lags
3. Different ways of using of statistical business registers in
business statistics
4. No common information, data and process models
5. Lack of generic tools for handling data sets, e.g. validation,
data exchange
Lack of interoperability (2)
As a consequence:
1. Maintenance of EGR a laborious process
2. Maintenance of EGR an error-prone process
3. No sufficient and effective use of EGR in business statistics
4. Continuing inconsistencies in statistics on globalization
5. Missing opportunities for producing statistics on
globalization by using available data
6. Data sharing impossible or complex
Towards the ESBR project
 The ESBR project is initiated by the EGR project to tackle the
issues of interoperability
 Interoperability not only needed between statistical business
registers but also between statistical business registers and
statistical production processes (especially globalization)
 The further development of the EGR as a network of statistical
business registers builds the core of the ESBR project
Links with other ESSnets
Profiling: tool for data quality management
Consistency: analysis and proposals on strengthen the role of
statistical business registers
Data warehousing: statistical business registers should become
providers of ‘backbone’ (statistical units)
Global value chain: provider of user requirements concerning
statistics on globalization
SIMSTAT: standards on exchange of micro data
MEMOBUST: provider of ‘best practices' and methodological
solutions
ESBR: the way to go forward
Crucial: a structured way of working by applying
business architecture principles (e.g. CSPA, GSBPM,
GSIM)
2. Start with: evaluation and integration of results of
different relevant ESSnets into a ‘Business model for
interoperable statistical business registers’
3. Get a high level ESS agreement on the ‘Business
model’
4. Work out and implement the ‘Business model’
1.