Data Sharing

This section of the knowledge database covers topics related to data sharing. Most notably, the CCAM Data Sharing Framework v2.02 was published in February. The framework addresses key aspects of data management, including detailed data and metadata descriptions, data protection guidelines, data governance, legal documents related to data sharing, insights on personal data and intellectual property rights training, as well as outlines of support and research services and financial considerations.

The CCAM Data Sharing Framework is available as a PDF report, but its content is also presented in a reader-friendly format within the KB.

Additionally, this section features a Data Catalogue comprising relevant CCAM data sources, with more sources planned to be added.

The “Topics in Data Sharing” subsection includes a selection of articles covering topics such as anonymization, deep fakes, the L3 Pilot common data format, a data catalogue on automated driving datasets, and relevant data marketplaces.

Finally, the “CCAM Test Data Space (TDS)” subsection is a demonstrator for show-casing the concept of federated data sharing, developed by the FAME project 

1. Targeted audience
   
   The Data Sharing section primarily targets participants in CCAM research projects, whether acting as data providers or data consumers. Moreover, actors in the growing data economy may find interest in both roles and as service providers who utilize third-party data to add value for data consumers.
   
2. Short history of the section content and latest updates
   
   The CCAM Data Sharing knowledge base draws on lessons learned over more than a decade. However, rapid technological development and new legal frameworks continue to influence the content. The CCAM Data Sharing Framework v2 represents a significant update from version 1 (2016, authored by the FOTNet-Data project) and version 1.1 (2019, updated by the CARTRE project). Notably, the topic of “Federated Data Sharing,” aligned with the FAME project’s objective of creating a CCAM data space for test data, has been added.
   
3. How to contribute in the section
   
   We encourage contributions of all kinds, from minor updates to new concepts and ideas. If you have any comments or suggestions, please use the feedback form available as a pop-up at the bottom of each page.