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The role of metadata in a generic production environment

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Presentation on theme: "The role of metadata in a generic production environment"— Presentation transcript:

1 The role of metadata in a generic production environment
Klas Blomqvist Eva Holm Statistics Sweden

2 Vet du att du kan välja olika färg på bakgrunden via Start/Layout

3 Outline What is metadata? What is metadata driven production?
From theory to practice, National Accounts Concept harmonisation

4 Modernisation factors
driving and feeding the processes harmonise the content

5 Metadata Content Driving and feeding the process process output input
Meassure unit Bransch Sector Transaction code Content Price type Amount

6 Metadata Business Exchange Structures Concepts
What information should be collected /downloaded or recorded/delivered to whom, how, when, through what channel, how often? The structure of the statistical program, what should executed, in what way and with which IT support Business Exchange Structures Concepts Definitions of the statistical content. Variables, the value domains, classifications, unit types and populations. Describes the data structure for different data sets and different types of documentation.

7 Statistical program Statistical program Statistical program cycle
Statistical Support Program Business Process (Collect) Business Process (Process/Analyse) Business Process (Dissemination) Business Process (Evaluate)

8 Internal structure - statistical program
Statistical program cycle Statistical Support Program Business Process (Collect) Business Process (Process/Analyse) Business Process (Dissemination) Business Process (Evaluate) Specify needs. Design and plan. Build and test. Collect. Parts of Process (coding, mikro editing). The restof Process (impute, completing, weighing) Analyse Disseminate and communicate Evaluate and feedback Customer needs are identified, the design completed, the production system created and tested Collected, coded and edited microdata Establish final observation register Edited and disclosure controlled of aggregate values and proposed dissemmination Disseminated and communicated results Action plan for the product improvement proposals outside the product

9 Drives and feeds the processes
input process Output/ input process output

10 Linking production to calculations
Statistical program Statistical program cycle Statistical Support Program Business Process (Collect) Business Process (Process/Analyse) Business Process (Dissemination) Business Process (Evaluate)

11 Driving and feeding the processes
input Transformable input Data to be refined by the process Process Support input Affects what the process step executes and thereby affects the resultSuch as background information, valuedomains Parameter input Can control what configurationthat should be used Such as minimum, maximum, threshold value process output Transformed output Data that has been refined by the process Process Execution Log Captures what happens when the process step is executed. The events that are captured are independent of tha current process step. Such as Error messages or the time it took to complete the process step. Process metric Captures process data relating to the quality or methodological aspects of the process steps that are performed during the execution. For example. a measure of how many records are used, how many values were imputed or seasonally adjusted.

12 Driving and feeding the processes
Statistical program A, Produktionsomgång 1, Makro calculation beräkningsomgång 1, Calculation area input process Source (external and internal) Reference periods (and reference time points) Status codes Format (data type and length) System (service) Variable role Output/ input Source (external and internal) Reference periods (and reference time points) Status codes Format (data type and length) System (service) Variable role Process step Method Calculation rule Source (external and internal) Reference periods (and reference time points) Status codes Format (data type and length) System (service) Variable role process output Process step Method Calculation rule

13 Common aspects Process step, methods and services
Valid process step for a business process Valid methods for a process step Valid services for a process step and methods Common status codes Reference time List of sources List of services

14 Design of production Design Calcula-tion Design Design Edit Collect
Define Content Define Content Define Content Define Content Provider, contract Calculation rule Editing rule x Calculation area x Calculation area x Calculation rules Calculation rules Calculation rules

15 During production Calcula-tion Collect Edit Calculation area
Content Collect Calcula-tion Edit 90 mkr 101 mkr 100 mkr ESV, contract Beräknings-regel Calculation rule Editing rule 90 mkr Calculation area 95 mkr Calculation area 101 mkr 1,05 A+b-c=d Index * x=y

16 National Accounts, example COICOP 1211 editing (of ”Raw data”)
Origin ”Raw data store”: Correction information Who: Henrik Romanov When: Correction: 0,031 Type of correction: Comment: Correction due to negative impact of funeral industry Editing OMS Editing rules OMS Process: Editing "Raw data" Edited ” Raw data store”:

17 Conclutions Implementation - ongoing
Team effort (subject matter, methodologists, architects, process owners and IT) Setting structures - process driving Defining concepts - content

18 Klas Blomqvist Eva Holm

19 Bildbank till powerpoint
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