4.3.2 Data Governance Model

Key Roles and Correlating Data Governance and Management Activities

The following subsections list what data governance / data management activities central roles in the IDS ecosystem are occupied with, and what IDS components are involved.

Data Owner / Data Provider

DG/DM activities

• Define usage constraints for data resources

• Publish metadata including usage constraints to Metadata Broker

• Transfer data with usage constraints linked to data

• Receive information about data transaction from Clearing House

• Bill data (if required)

• Monitor policy enforcement

• Manage data quality

• Describe the data source

• Authorize Data Provider, if Data Provider is not the Data Owner

Enabling/Supporting IDS Component

• IDS Connector

• Catalogue of rules allowing Data Owners to configure usage conditions related to their own requirements

• Define pricing model and pricing (see Section 3.3.3)

Data Consumer

DG/DM activities

• Use data in compliance with usage constraints}

• Search for existing datasets by making an inquiry at a ß Broker Service Provider

• Nominate Data Users (if needed)

• Receive information about data transaction from Clearing House

• Monitor policy enforcement

Enabling/Supporting IDS Component:

• IDS Connector

• Catalogue of rules to act in compliance with usage constraints specified by Data Owner

Metadata Broker Service Provider

DG/DM activities

• Match demand and supply of data

• Provide Data Consumer with metadata

Enabling/Supporting IDS Component:

• Metadata Broker Service Provider component

• Core of the metadata model must be specified by the International Data Spaces (by the Information Model)

• Provide registration interface for Data Provider

• Provide query interface for Data Consumer

• Store metadata in internal repository for being queried by Data Consumers

Clearing House

Data-related activities

• Monitor and log data transactions and data value chains

• Monitor policy enforcement

• Provide data accounting platform

Enabling/Supporting IDS Component:

• Clearing House component

• Logging data

App Store Provider

Data-related activities

• Offer Data Services (e.g. for data visualization, data quality, data transformation, data governance)

• Provide Data Apps

• Provide metadata and a contract based on the metadata for app user

Enabling/Supporting IDS Component:

• App Store Provider component

• Interfaces for publishing and retrieving Data Apps plus corresponding data

IDS Data Governance Model

The IDS Data Governance Model defines a framework of decision-making rights and processes with regard to the definition, creation, processing, and use of data. While governance activities set the overall directive of the decision-making system, data management comprises three groups of activities with regard to the creation, processing, and use of data. In the IDS context, data governance comprises also usage rights of data shared and exchanged within the IDS ecosystem. The management of metadata specifies data about data and comprises both syntactic, semantic and pragmatic information. This is of particular importance in distributed system environments that do not rely on a central instance for data storage, but instead allow self-organization of different heterogeneous databases. Additionally, data lifecycle management is concerned with the creation and capturing of data, including data processing, enrichment, storage, distribution, and use.

The following responsibility assignment matrix (RACI matrix) supports the allocation of these activities to enable a governance mechanism in the IDS ecosystem. RACI stands for 'responsible' , 'accountable' , 'consulted' and 'informed ' . The focus lies on the 'R' and 'A' of the RACI matrix, supported by the notation 'S', which stands for supported.

Activity	Data Owner / Data Provider	Data User / Data Consumer	Metadata Broker	Clearing House
Management
Determine data usage restrictions (execute data ownership rights)	R, A	-	S	-
Enforce data usage restrictions	-	R, A	-	-
Ensure data quality	R, A	-	S	-
Monitor and log data transactions	S	S	-	R, A
Enable data provenance	S	S		-
Provide clearing services	S	S	-	R, A
Metadata
Describe and publish metadata	R, A	-	S	-
Look up and retrieve metadata	-	R, A	S	-
Data Lifecycle
Capture and create data	R, A	-	-	-
Store data	R, A	S	-	-
Enrich and aggregate data	S	R, A	S	-
Distribute and provide data	R, A	-	S	-
Link data	S	S	R, A	-

Table4.3.2.1: Roles responsible, accountable and supporting in data governance

The following subsections describe five topics that are addressed by the Governance Perspective. These topics play an important role when it comes to the management of data assets.