Transcript Mr. Geert Bruinooge, Deputy Director General, Statistics Netherlands

Data management
and the Production of Statistics
Geert Bruinooge
Deputy Director General
Statistics Netherlands
Seminar on Innovations in Official Statistics
20 February 2009
United Nations, New York
1
No data without metadata
1. Define standard for all statistical concepts
2. Standard is internationally agreed definition
3. Define all concepts in use in terms of
delta’s to standard
2
Simple Model of Statistical Process
INPUT
THROUGHPUT
OUTPUT
3
The Process Steps
INPUT
OUTPUT
THROUGHPUT
FILL THE GAPS
EXTRAPOLATE
CHECK
TRANSFORM
4
The Meta Groups
INPUT
Description of
actual and
expected
data
THROUGHPUT
OUTPUT
Administrative meta
Quality indicators
Proces Meta
Objecttype,
Population,
Variable definition
for output
5
Meta data involved
Conceptual meta data:
1. Input
Description of the actual and the expected data
2. Throughput
Description of the data that arise from various
process steps to bring input to output
3. Output
(Sub) Population, information content, variable
definitions, object types
6
The Data Havens (Steady state)
RAW INPUT
MICROBASE
STATBASE
OUTPUT
7
OVERVIEW of business and information architecture
Policy, budget, descriptions of
external registrations
Design
statistical
knowledge
rules
Design
raw materials,
semifinished
products
Design
production
processes
Design
final products
Determine
statistical
information
needs
Meta data service centre
Proces metadata:
statistical
knowledge rules
Proces metadata:
workflow & proces
quality
Conceptual metadata &
product quality
Conceptual
metadata & product
quality
Consumer of
statistics
Plan, check, act
Plan, schedule
Quality indicators
Realised metadata
Measured quality
indicators, reports
Data collection service centre
Supplier of
registrations,
Respondent
Preparing
Data collection
Data collection
Imputation,
editing, etc
Estimation,
statistical
Integration,
etc
Disclosure
Control, etc
Publishing
Data service centre
Inputbase
Microbase
Statbase
Outputbase
8
APPENDIX 1/3