Difference between revisions of "Dataflow V10"

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(Usage)
(Usage)
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==Usage==
 
==Usage==
In conjunction with a [[Provision_Agreement|Provision Agreement]], data can be loaded and validated against the concepts and rules and restrictions of as defined in it's [[Data_Structure|Data Structure]].
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In conjunction with a [[Provision_Agreement|Provision Agreement]], data can be loaded and validated against the concepts and rules and restrictions of as defined in it's [[Data_Structure|Data Structure]]. A Dataflow may also have additional restrictions applied by virtue of any [[Content_Constraint|Content Constraints]].
  
 
==Conventions==
 
==Conventions==

Revision as of 10:47, 9 February 2021

Overview

A Dataflow defines a data 'topic' for collection or dissemination. A Dataflow must be linked to a Data Structure.

Structure Properties

Structure Type Standard SDMX Structural Metadata Artefact
Maintainable Yes
Identifiable Yes
Item Scheme No
SDMX Information Model Versions 2.0, 2.1
URN - datastructure.Dataflow namespace urn:sdmx:org.sdmx.infomodel.datastructure.Dataflow.

Context within the SDMX 2.1 Information Model

L Dataflow1.png

The schematic illustrates the core artifacts of the SDMX 2.1 Information Model, and how Dataflows fit in. A Dataflow requires a Data Structure, please refer to this article for more information on Data Structures.

Usage

In conjunction with a Provision Agreement, data can be loaded and validated against the concepts and rules and restrictions of as defined in it's Data Structure. A Dataflow may also have additional restrictions applied by virtue of any Content Constraints.

Conventions

Dataflow IDs IDs are conventionally uppercase using underscores '_' as separators if required. Examples:

Agency Concept Scheme ID Description SDMX-ML
ESTAT NAREG_T1200_A NA Regional Statistics SDMX-ML
IAEG-SDGs DF_SDG_GLC SDG Country Global Dataflow SDMX-ML

You can seem more examples and information on Identities in this article.