Data Governance

Data governance at EPFL is based on an institutional framework designed to ensure structured and consistent data management. This framework establishes clear principles, roles and processes to maximize the value of data while ensuring its security and compliance.

Data governance at EPFL focuses on the management of academic and institutional data.

Key Principles

Data is an institutional asset

At EPFL, data is regarded as a key resource, on a par with our physical infrastructure and financial resources. They are managed collectively and responsibly, in the interests of the institution.

Structured data management

Data management covers the entire data lifecycle: from collection to use, storage and archiving. Clearly defined roles and responsibilities ensure optimal governance.

Data fit for purpose

Data must be accurate, reliable and complete, meeting the needs for which it was collected, while allowing it to be used in other contexts. Data quality is constantly monitored, and data management decisions are documented to guarantee total transparency.

Data accessibility and re-use

Data must be easily accessible and understandable, while complying with institutional standards.

Objectives of data management

• Simplify, increase frequency and visibility of data use.
• Reduce efforts to create projects of an analytical nature.
• Reduce efforts to create and maintain data exchanges between applications and software.
• Ensure the quality, compliance, confidentiality, security and auditability of data management activities.