Data governance

Data governance refers to a set of rules that govern the ownership, use, and preservation of data. It is guided by a management framework that defines the context in which the data are acquired and maintained.

• Data ownership and sovereignty: Researchers and communities maintain control over their data. Genovalia respects data ownership, as well as governance principles, privacy protections, and community frameworks such as the First Nations principles of ownership, control, access, and possession, and the CARE principles from the 'Global Indigenous Data Alliance'. The guiding vision is that data should be 'as open as possible, as private as necessary'.
• Open data, FAIR principles, and responsible use: Genovalia adheres to the FAIR principles and encourages open data when appropriate, always ensuring a balanced approach that respects trust, ethics, security, and intellectual property protection. Genovalia supports the sharing of sensitive data through tailored agreements.
• Capacity building throughout the data lifecycle: Genovalia provides tools, catalogs, and workflows to facilitate collaboration at every stage of the research lifecycle, from collection to archiving.
• Automation and interoperability: We use machine-readable formats, standardized schemas, and controlled vocabularies to enable efficient integration, unambiguous interpretation, and seamless data reuse.
• Democratizing access to scientific and data analysis experts: Genovalia aims to provide best-in-class services at the forefront of responsible data management, analysis, and valorization, regardless of dataset size or complexity of needs.
• Empowering users with their data: Genovalia fosters user autonomy by offering flexible, tailored training and support to meet recurring and specific needs.

The complete Genovalia Data Management Framework document is available at the following link