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IDS-RAM 4
IDS-RAM 4
  • README
  • Front Matter
    • Front Matter
    • Contributing Projects
  • Introduction
    • 1. Introduction
      • 1.1 Goals of the International Data Spaces
      • 1.2 Purpose and Structure of the Reference Architecture
      • 1.3 Relation to other IDSA assets
  • Context of the International Data Spaces
    • 2. Context of the International Data Spaces
      • 2.1 Data-Driven Business Ecosystems
      • 2.2 Data Sovereignty as a Key Capability
      • 2.3 Data as an Economic Good
      • 2.4 Data Exchange and Data Sharing
      • 2.5 Meaningful data
      • 2.6 Industrial Cloud Platforms
      • 2.7 Big Data and Artificial Intelligence
      • 2.8 The Internet of Things and the Industrial Internet of Things
      • 2.9 Blockchain
      • 2.10 Federated frameworks for data sharing agreements and terms of use
      • 2.11 General Data Protection Regulation
      • 2.12 Contribution of the International Data Spaces to Industry 4.0 and the Data Economy
      • 2.13 Privacy in the connected world
  • Layers of the Reference Architecture Model
    • 3 Layers of the Reference Architecture Model
      • 3.1 Business Layer
        • 3.1.1 Roles in the International Data Spaces
        • 3.1.2 Interaction of Roles
        • 3.1.3 Digital Identities
        • 3.1.4 Usage Contracts
      • 3.2 Functional Layer
      • 3.3 Information Layer
      • 3.4 Process Layer
        • 3.4.1 Onboarding
        • 3.4.2 Data Offering
        • 3.4.3 Contract Negotiation
        • 3.4.4 Exchanging Data
        • 3.4.5 Publishing and using Data Apps
        • 3.4.6 Policy Enforcement
      • 3.5 System Layer
        • 3.5.1 Identity Provider
        • 3.5.2 IDS Connector
        • 3.5.3 App Store and App Ecosystem
        • 3.5.4 Metadata Broker
        • 3.5.5 Clearing House
        • 3.5.6 Vocabulary Hub
  • Perspectives of the Reference Architecture Model
    • 4 Perspectives of the Reference Architecture Model
      • 4.1 Security Perspective
        • 4.1.1 Security Aspects addressed by the different Layers
        • 4.1.2 Identity and Trust Management
        • 4.1.3 Securing the Platform
        • 4.1.4 Securing Applications
        • 4.1.5 Securing Interactions between IDS components
        • 4.1.6 Usage Control
      • 4.2 Certification Perspective
        • 4.2.1 Certification Aspects Addressed by the Different Layers of the IDS-RAM
        • 4.2.2 Roles
        • 4.2.3 Operational Environment Certification
        • 4.2.4 Component Certification
        • 4.2.5 Processes
      • 4.3 Data Governance Perspective
        • 4.3.1 Governance Aspects Addressed by the Different Layers of the IDS-RAM
        • 4.3.2 Data Governance Model
        • 4.3.3 Data as an Economic Good
        • 4.3.4 Data Ownership
        • 4.3.5 Data Sovereignty
        • 4.3.6 Data Quality
        • 4.3.7 Data Provenance
        • 4.3.8 Data Space Instances
        • 4.3.9 IDS Rulebook
        • 4.3.10 Privacy Perspective
        • 4.3.11 Governance for Vocabularies
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  1. Perspectives of the Reference Architecture Model
  2. 4 Perspectives of the Reference Architecture Model
  3. 4.3 Data Governance Perspective

4.3.4 Data Ownership

In the material world, the difference between the terms possession and property is an abstract, yet necessary construct. It is accepted that moving a good from one place to another and changing possession of the good does not necessarily have an impact on the property rights. Regarding the specific concept of the International Data Spaces, it is necessary to take into account that the Data Owner and Data Provider may not be identical (see Chapter 3.1.1).

From a legal perspective, there is no ownership regarding data, as data is an intangible good. With the Free Flow of Data Regulation[^1], the European Commission supports data exchange and data sharing across borders in the means of technical hurdles. The IDS approach supports the implementation of the regulation for non-personal data. At the same time the democratization of data is not the aim of the IDS concept, as data ownership is an important aspect when it comes to offering data and negotiating contracts in digital business ecosystems, especially because data can easily be duplicated.

The International Data Spaces makes sure the need of a Data Provider or a Data Producer is comprehensively addressed by providing a secure and trusted platform for authorization and authentication within a decentralized architecture. This allows Data Providers as well as Service Providers to be identified and controlled by an Identity Provider (see Chapter 3.1.1). Decentralized data exchange by means of Connectors, in contrast to other architectures of data networks (e.g., data lakes or cloud services), ensures full data sovereignty. In addition to these self-control mechanisms, the architecture allows logging of data transfer information at a Clearing House (see Chapter 3.2.5).

As the need for Data Sovereignty is obvious, but the term of ownership is not defined for data, the term Data Sovereign indicates the rights, duties, and responsibilities for this role. The term and the role of the Data Owner is defined for this document in section 3.1.1 and does not cover a legal statement on data ownership. This is indeed relevant on every layer of the architecture.

As the International Data Spaces intends to build upon and apply existing law, it will not include any purely technology-oriented solutions to prevent data duplication or misuse of data assets. However, it supports these important aspects over the entire data lifecycle. Furthermore, it supports the arrangement of collaborative solutions by providing an appropriate technical infrastructure.

[^1]: [Regulation (EU) 2018/1807] (https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=CELEX%3A32018R1807) of the European Parliament and of the Council of 14 November 2018 on a framework for the free flow of non-personal data in the European Union

Last updated 2 years ago