D1.2 – Data Governance and Intellectual Property Rights Handbook

The first iteration of the Data Governance and Intellectual Property Rights (IPR) Handbook is a key document for the iDriving project, providing crucial guidelines for data and intellectual property management among project partners. This initial version is based on the Grant Agreement (GA), and it establishes a foundation for continuous development, ensuring alignment with the project’s objectives and ethical standards. Future versions will incorporate new insights to enhance the handbook’s effectiveness and compliance with the iDriving project’s goals. This document emphasises the importance of effective practices in ensuring that all partners follow established protocols for data management and intellectual property protection, while fostering collaboration and innovation. It clearly defines responsibilities for data collection, sharing, storage, and usage, aiming to protect proprietary information and enable smooth communication among stakeholders. The handbook further covers the integration of artificial intelligence (AI) within the project, highlighting the legal and ethical considerations involved. This includes adhering to relevant regulations and standards to ensure AI applications align with the project’s goals and respect participants’ rights and privacy. Finally, the document addresses ethical considerations related to human participation in the iDriving project. It outlines best practices for engaging with participants, focusing on informed consent, transparency, and the protection of personal data. By addressing these ethical aspects, the handbook aims to maintain the project’s integrity and foster trust and collaboration among all partners.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-24
DOI
https://doi.org/10.5281/zenodo.14748985
Primary Topic
Racial and Ethnic Identity Research
Type
article
Field-Weighted Citation Impact
0.00
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article

D1.2 – Data Governance and Intellectual Property Rights Handbook

Zenodo (CERN European Organization for Nuclear Research)
Racial and Ethnic Identity Research
article

D1.2 – Data Governance and Intellectual Property Rights Handbook

article en

Abstract

The first iteration of the Data Governance and Intellectual Property Rights (IPR) Handbook is a key document for the iDriving project, providing crucial guidelines for data and intellectual property management among project partners. This initial version is based on the Grant Agreement (GA), and it establishes a foundation for continuous development, ensuring alignment with the project’s objectives and ethical standards. Future versions will incorporate new insights to enhance the handbook’s effectiveness and compliance with the iDriving project’s goals. This document emphasises the importance of effective practices in ensuring that all partners follow established protocols for data management and intellectual property protection, while fostering collaboration and innovation. It clearly defines responsibilities for data collection, sharing, storage, and usage, aiming to protect proprietary information and enable smooth communication among stakeholders. The handbook further covers the integration of artificial intelligence (AI) within the project, highlighting the legal and ethical considerations involved. This includes adhering to relevant regulations and standards to ensure AI applications align with the project’s goals and respect participants’ rights and privacy. Finally, the document addresses ethical considerations related to human participation in the iDriving project. It outlines best practices for engaging with participants, focusing on informed consent, transparency, and the protection of personal data. By addressing these ethical aspects, the handbook aims to maintain the project’s integrity and foster trust and collaboration among all partners.

Zenodo (CERN European Organization for Nuclear Research)
PRA Health Sciences (US)
Openalex Percentile: Top 40%
Racial and Ethnic Identity Research
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