conceptual metadata and process metadata
DESCRIPTION
WP18. Conceptual metadata and process metadata. Max Booleman (Statistics Netherlands). How to improve dissemination (policy) and the transparency of the statistical system?. Starting point : our mission Introduction metadata model Dissemination policy Coherence (and Comparability) - PowerPoint PPT PresentationTRANSCRIPT
Conceptual metadata and
process metadata
Max Booleman (Statistics Netherlands)
WP18
How to improve dissemination (policy) and the transparency of the statistical system?
– Starting point : our mission
– Introduction metadata model
– Dissemination policy
– Coherence (and Comparability)
– Transformation process of StatLine
Mission of Statistics NetherlandsCore-business: dissemination of undisputed, coherent statistical information on the Dutch society.
This is more than just to publish own results of the several statistical inquiries: portal function
Dissemination policy (1)
– Coherent information: harmonisation and standardization of concepts & definitions models (equations, accounting systems) comparability (time, space, between concepts)
– Undisputed information: consistent output, quality (reliable, timely, complete) transparency (communication with users)
Metadata model (1) (output oriented)
Conceptual metadata
Process metadata
(Quality metadata)
Metadata model (2)
Trade, 2001
Turnover*1000 euro
Costs Profit
Size class 1 9
Size class 2 12
total 21 What should be the metadata of ’21’?
Metadata model (2)
Trade, 2001
Turnover*1000 euro
Costs Profit
Size class 1 9 8 5 3
Size class 2 12 15 10 5
Total 21 23 What should be the metadata of ’21’?
Conceptual metadata
Process metadata
Dissemination policy (2)
– How to present inconsistent information?
– Is it understandable for external users?
– Is it in theory possible to publish consistent information?
– Could/should we integrate every figure?
Object server
enterprise
establishment
person
household
Class. serversAct.…..textilemetaltransport….
Time……1997
1998
Area……Amst.
Rott.…...
Count Variable server
Turnover
empl.
Cap. inv.
Meas. Unit server
Euro’s
D.gld
number
meters
Metadata model (3)Metadata model (3)
Purpose Statistical Co-ordination (1)
Variable X Variable close to X
0-10 A
11-20 B
>20 C
0-15
16-30
>30
D
E
F
Purpose Statistical Co-ordination (2)
Variable X Variable close to X
0-10 A
11-20 B
>20 C
0-15
16-30
>30
D
E
F
Purpose Statistical Co-ordination (3)
Variable X Variable close to X
0-10 A
11-20 B
>20 C
0-15
16-30
>30
D
E
F
A G
B H
C I
J D
K E
L F
optional
Standard classification
Why a central metadata server?
Part of the new StatLine datamodel but also available for input and throughput processesThe aims:– Transparency – Harmonisation, standardization– Consistency– Coherence– Efficiency – Bureau of Standards (dissemination of metadata standards)
Metadata server: process
1. Convert existing metadata from present StatLine into new model;
2. New deliveries to StatLine can only point to existing metadata;
3. New metadata can only be added via special group (SC);
4. Existing metadata will be screened (textual consistency) and combined by SC;
5. Existing metadata can be set to ‘expired’ by SC.
Statistics Netherlands is going to
– have a transparent StatLine and statistical system– have a textual consistent StatLine– maximize the consistency between figures– present a clear view on dissemination policy– be recognized by external organizations as Bureau of Standards for statistical concepts
Thank you