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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.
Search for geospatial data or click Add to Map List to select multiple datasets to plot on a single map. Then click View on Map to visualize and overlay the datasets using a geospatial viewer
This data report provides information on temperature and salinity in the Godbout region of the St. Lawrence Estuary. Sampling was …
Geospatial forest inventory dataset updated for depletions, such as harvesting, and projected annually for growth. Sample attributes in this dataset …
The spatial representation for a Timber Supply Area or TSA Supply Block: A Timber Supply Area is a designated area …
Published by the Ministry of Forests, Lands, Natural Resource Operations and Rural Development - Forest Analysis and Inventory Geospatial forest …
All bank edges (of rivers, lakes, and wetlands), delimiter edges, glacier edges, and administrative boundary edges. These are the linear …
This dataset includes White Sturgeon (Acipenser transmontanus) mark-recapture data collected in the Fraser River drainage. Users can use a Passive …