Changes for page SDMX 3.1 Standards. Section 1. Framework

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160	160	[[SDMX>>doc:sdmx:Glossary.Statistical data and metadata exchange.WebHome]] identifies three basic process patterns regarding the exchange of statistical data and metadata. These can be described as follows:
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162		-//Bilateral exchange~:// All aspects of the exchange process are agreed between counterparties, including the mechanism for exchange of data and metadata, the formats, the frequency or schedule, and the mode used for communications regarding the exchange. This is perhaps the most common process pattern. //Gateway exchange~:// Gateway exchanges are an organized set of bilateral exchanges, in which several data and metadata collecting organizations or individuals agree to exchange the collected information with each other in a single, known format, and according to a single, known process. This pattern has the effect of reducing the burden of managing multiple bilateral exchanges (in data and metadata collection) across the sharing organizations/individuals. This is also a very common process pattern in the statistical area, where communities of institutions agree on ways to gain efficiencies within the scope of their collective responsibilities. //Data-sharing exchange~:// Open, freely available data formats and process patterns are known and standard. Thus, any organization or individual can use any counterparty’s data and metadata (assuming they are permitted access to it). This model requires no bilateral agreement, but only requires that data and metadata providers and consumers adhere to the standards.
	162	+1. //**Bilateral exchange**~:// All aspects of the exchange process are agreed between counterparties, including the mechanism for exchange of data and metadata, the formats, the frequency or schedule, and the mode used for communications regarding the exchange. This is perhaps the most common process pattern.
	163	+1. //**Gateway exchange**~:// Gateway exchanges are an organized set of bilateral exchanges, in which several data and metadata collecting organizations or individuals agree to exchange the collected information with each other in a single, known format, and according to a single, known process. This pattern has the effect of reducing the burden of managing multiple bilateral exchanges (in data and metadata collection) across the sharing organizations/individuals. This is also a very common process pattern in the statistical area, where communities of institutions agree on ways to gain efficiencies within the scope of their collective responsibilities.
	164	+1. //**Data-sharing exchange**~:// Open, freely available data formats and process patterns are known and standard. Thus, any organization or individual can use any counterparty’s data and metadata (assuming they are permitted access to it). This model requires no bilateral agreement, but only requires that data and metadata providers and consumers adhere to the standards.
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165	165	[[image:SDMX 3.1 Section 1.png]]
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167	167	**Figure 1: High Level Schematic of Major Artefacts in the SDMX 3.0 Information Model**
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174	174	Briefly, these can be described as:
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176		-//Batch Exchange of Data and Metadata~:// The transmission of whole or partial databases between counterparties, including incremental updating. //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. //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. //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.
	179	+1. //**Batch Exchange of Data and Metadata**~:// The transmission of whole or partial databases between counterparties, including incremental updating.
	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 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.
	182	+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.
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178	178	== 3.3 Statistical Data and Metadata ==
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