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Last modified by Artur on 2025/09/30 12:30
From version 4.4
edited by Helena
on 2025/06/06 16:55
Change comment: There is no comment for this version
To version 4.5
edited by Helena
on 2025/06/06 16:55
Change comment: There is no comment for this version

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148 148  
149 149  • Registering Reference Metadata removed from documentation, to align with XML Registration object which is unable to reference a Metadata Provision, and REST API which is unable to query for registered reference metadata sources.
150 150  
151 -= {{id name="_Toc56636"/}}3 Processes and Business Scope =
151 += 3 Processes and Business Scope =
152 152  
153 -== {{id name="_Toc56637"/}}3.1 Process Patterns ==
153 +== 3.1 Process Patterns ==
154 154  
155 155  SDMX identifies three basic process patterns regarding the exchange of statistical data and metadata. These can be described as follows:
156 156  
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170 170  
171 171  It is important to note that SDMX is primarily focused on the //exchange// and //dissemination// of statistical data and metadata. There may also be many uses for the standard model and formats specified here in the context of internal processing of data that are not concerned with the exchange between organizations and users, however. It is felt that a clear, standard formatting of data and metadata for the purposes of exchange and dissemination can also facilitate internal processing by organizations and users, but this is not the focus of the specification.
172 172  
173 -== {{id name="_Toc56638"/}}3.2 SDMX and Process Automation ==
173 +== 3.2 SDMX and Process Automation ==
174 174  
175 175  Statistical data and metadata exchanges employ many different automated processes, but some are of more general interest than others. There are some common information technologies that are nearly ubiquitous within information systems today. SDMX aims to provide standards that are most useful for these automated processes and technologies.
176 176  
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178 178  
179 179  1. //Batch Exchange of Data and Metadata~:// The transmission of whole or partial databases between counterparties, including incremental updating.
180 180  1. //Provision of Data and Metadata on the Internet~:// Internet technology - including its use in private or semi-private TCP/IP networks - is extremely common. This technology includes XML, JSON and REST web services as primary mechanisms for automating data and metadata provision, as well as the more traditional static HTML and database-driven publishing.
181 -1. //Generic Processes~:// While many applications and processes are specific to some set of data and metadata, other types of automated services and processes are designed
182 -
183 -to handle any type of statistical data and metadata whatsoever. This is particularly true in cases where portal sites and data feeds are made available on the Internet.
184 -
181 +1. //Generic Processes~:// While many applications and processes are specific to some set of data and metadata, other types of automated services and processes are designed to handle any type of statistical data and metadata whatsoever. This is particularly true in cases where portal sites and data feeds are made available on the Internet.
185 185  1. //Presentation and Transformation of Data~:// In order to make data and metadata useful to consumers, they must support automated processes that transform them into application-specific processing formats, other standard formats, and presentational formats. Although not strictly an aspect of exchange, this type of automated processing represents a set of requirements that must be supported if the information exchange between counterparties is itself to be supported.
186 186  
187 187  The SDMX standards specified here are designed to support the requirements of all of these automation processes and technologies.
188 188  
189 -== {{id name="_Toc56639"/}}3.3 Statistical Data and Metadata ==
186 +== 3.3 Statistical Data and Metadata ==
190 190  
191 191  To avoid confusion about which "data" and "metadata" are the intended content of the SDMX formats specified here, a statement of scope is offered. Statistical "data" are sets of often numeric observations which typically have time associated with them. They are associated with a set of metadata values, representing specific concepts, which act as identifiers and descriptors of the data. These metadata values and concepts can be understood as the named dimensions of a multi-dimensional co-ordinate system, describing what is often called a "cube" of data.
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