Open Government Portal
About this information
Open data is defined as structured data that is machine-readable, freely shared, used and built on without restrictions.
The key things to remember about open data are:
- #Availability and access#: the data must be available as a whole and at no more than a reasonable reproduction cost, preferably by downloading over the internet. The data must also be available in a convenient and modifiable form.
- #Re-use and redistribution#: the data must be provided under terms that permit re-use and redistribution including the intermixing with other datasets.
- #Universal participation#: everyone must be able to use, re-use and redistribute. There should be no discrimination against fields of endeavour or against persons or groups. For example, 'non-commercial' restrictions that would prevent 'commercial' use, or restrictions of use for certain purposes (e.g. only in education), are not allowed.
The Office of the Procurement Ombud (OPO) holds a number of activities that are held to raise awareness and share …
The Office of the Procurement Ombud (OPO) reviews procurement practices of federal organizations and provides recommendations for improvement, then conducts …
Guidance on protecting mobile devices from IMSI catchers that intercept cellular communications.
Information on cell site simulators, their capabilities, and security measures to protect against them.
Overview of professional certifications available in the cyber security field.
Public Services and Procurement Canada (PSPC) has developed a “Virtual Assistant” pilot using artificial intelligence (AI) to help fix data …
Guidance on identifying and managing obsolete technology products and their associated security risks.
Cyber threat assessment related to the FIFA World Cup 2026, including potential risks and mitigation strategies.
Recommended cryptographic algorithms for protecting information classified as Unclassified, Protected A, and Protected B.
Introduction to the top 10 security actions organizations should take when implementing artificial intelligence.