Data Governance

Data Governance

These days, companies and researchers operate in digital environments with information as their primary work tool. It is becoming essential for risk management and data security to be central to every organization, to protect against cyberattacks and to maintain the privacy of its target audience. This is a matter of quality of service.

In partnership with the Computer Research Institute of Montréal (CRIM) and Mitacs, our Data Governance project aims to develop information security tools based on blockchain technology to respond to issues of data integrity and confidentiality.

The real advantage of our data collection infrastructure lies in the large-scale analysis and aggregation of this data, which leads to the acquisition of new knowledge. However, since IoT sensors can collect impressive amounts of information, they are also an issue for confidentiality and security on top of presenting a digital threat (data used for behavioural profiling for example). Because the Smart Living Lab facilitates innovative projects developed to improve quality of life, it is essential that the data management processes not be problematic and that they respect rigorous security, privacy and ethics standards.

The objectives are the following:

  1. Evaluate leading-edge standards for data protection, security protocols, confidentiality policies and codes of ethics.
  2. Evaluate challenges related to confidentiality and standards for IoT devices.
  3. Identify key factors required for designing and implementing confidentiality measures as part of Smart Living Lab projects.
  4. Validate new blockchain-based technology to maintain the confidentiality of the centre’s data.