Policy Patterns for Usage Control in Data Spaces
Tobias Dam, Andreas Krimbacher, Sebastian Neumaier

TL;DR
This paper develops a set of policy patterns and formalization methods using ODRL for data usage control in Mobility Data Spaces, facilitating secure and governed data sharing in transportation technologies.
Contribution
It introduces a comprehensive collection of policy patterns and extends ODRL for data space-specific properties, advancing automated contract negotiation in mobility data sharing.
Findings
Provides a detailed list of usage control policy patterns.
Proposes an extension of ODRL for data space-specific policies.
Facilitates automated negotiation of data sharing agreements.
Abstract
Data-driven technologies have the potential to initiate a transportation related revolution in the way we travel, commute and navigate within cities. As a major effort of this transformation relies on Mobility Data Spaces for the exchange of mobility data, the necessity to protect valuable data and formulate conditions for data exchange arises. This paper presents key contributions to the development of automated contract negotiation and data usage policies in the Mobility Data Space. A comprehensive listing of policy patterns for usage control is provided, addressing common requirements and scenarios in data sharing and governance. The use of the Open Digital Rights Language (ODRL) is proposed to formalize the collected policies, along with an extension of the ODRL vocabulary for data space-specific properties.
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Taxonomy
TopicsDigital Rights Management and Security · Access Control and Trust · Peer-to-Peer Network Technologies
