1 / 28

Bo Sundgren, Statistics Sweden ICES-III, Montreal, June 18-21, 2007

Modelling the contents and structure of official statistics Or: How to design ”correct” and globally consistent SDMX Data Structure Definitions Or: Navigating in a space of statistical surveys of society Or: Reality as a statistical construction. Bo Sundgren, Statistics Sweden

mariko-ryan
Télécharger la présentation

Bo Sundgren, Statistics Sweden ICES-III, Montreal, June 18-21, 2007

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Modelling the contents and structure of official statisticsOr: How to design ”correct” and globally consistent SDMX Data Structure DefinitionsOr: Navigating in a space of statistical surveys of societyOr: Reality as a statistical construction Bo Sundgren, Statistics Sweden ICES-III, Montreal, June 18-21, 2007

  2. Contents By Example (based on a simple generic model) Complex objects Utilities Actors

  3. UNESCO model version 1 (to be revised)

  4. Everything ”clickable” OBJECT VARIABLE Righthand click Lefthand click • Select: • object • variable • Retrieve metadata: • definition • value set, classification • questionnaire • quality declaration • survey documentation

  5. Propositions • The statistical data/metadata model presented here is general and domain-independent. It will cover all kinds of data and metadata to be made publicly available on the Internet and to be exchanged between national statistical agencies and international organisations. This proposition has been verified in a number of cases. So far the proposition has not been falsified in any case. • This generic model can be transformed in a systematic way into an SDMX-compliant generic model expressed in XML. • Since cube models, as actually practiced in national statistical agencies and international organisations, differ slightly between themselves and cannot always be said to be standardised, we propose the transformation to take place in two steps: • Step1: Non-standardised cubes are transformed into normalised cubes as defined here. • Step 2: Normalised cubes are transformed into standardised SDMX cubes (to be defined).

More Related