Canada’s open access platform for sharing water data.
Visit our regional data hubs
DataStream is a place for sharing water and sediment quality data
Structured datasets are useful datasets
All monitoring results shared on DataStream are reported in a common format, based on the WQX standard for the Exchange of Water Quality Data. This makes data easier to interpret, integrate and use.
Explore results and see where monitoring is happening
Interactive data visualizations are easy to create and enable comparison between monitoring results and national water quality guidelines for aquatic ecosystem health.
Accessible, scientifically robust, and digitally secure
Zero in on the data you’re looking for and discover data you didn’t know was out there.
Our one-click charting tool makes it easy to explore data, spot trends and compare results to national guidelines.
All data published on DataStream is ready to go, with clear licensing, and available in standardized, machine-readable formats.
Datasets aren’t static and neither is DataStream. Our platform allows datasets to be updated while providing a clear mechanism for cataloguing versions of datasets as they evolve.
All datasets on DataStream have a DOI – a link that will never break. This allows for correct citation of data and the ability to track how datasets are used in other published works.
Want to get data organized but not ready to publish? Embargo periods allow data to be uploaded to DataStream before going live.
Integrate DataStream data with your own websites, apps, scripts, or modelling tools with only a few lines of code.
DataStream connects with other data systems to facilitate data import, improve dataset discoverability and advance data use.
Modern cryptographic digests and blockchains are used to ensure data hasn't been tampered with from the contributor to end user.
Putting data to use to protect freshwater
A growing number of communities, researchers and decision makers are using data on DataStream to uncover meaningful insights about freshwater health.
The following principles guide how DataStream’s open data platform is delivered to ensure the greatest benefit and value to all users and contributors.
Data are made openly available on an equal basis, freely and in a timely way.
Design and deliver DataStream in ways that reduce barriers to participation, whether they be physical, geographic, cultural, linguistic, digital, financial or other.
Strive for completeness of datasets and adherence to widely adopted data standards that support data reuse.
Strive for technological and semantic interoperability with other initiatives.
Safeguard the integrity and security of data against corruption and loss to ensure fitness for use over the short and long-term.
Support the ongoing maintenance and improvement of DataStream, and ensure long-term preservation of data stored within it.
Documentation & how-to
Visit DataStream’s Learning Centre to access up-to-date documentation, how-to resources and much more.
Have questions, requests, or need help with your data?