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\begin{document}

\title{DataStream's open data platform for sharing water quality data}



\author[1]{Mary Kruk}%
\author[1]{Carolyn DuBois}%
\author[1]{Patrick LeClair}%
\author[1]{Lindsay Day}%
\affil[1]{The Gordon Foundation}%


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  \date{May 29, 2024}


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\begin{abstract}
Significant investments are made in the collection of water quality
data. Yet barriers to effective data sharing and reuse hamper the
ability to leverage this information to its full potential in research
and water management decisions. Because water monitoring data are
collected by a wide range of organizations, through programs of varying
scope and focus, and often within jurisdictional or institutional silos,
it can be difficult to connect this information together in standardized
and accessible formats. DataStream is an online open-access platform
that was developed by The Gordon Foundation and its partners to address
the challenge of water data accessibility in Canada. DataStream is free
to use and allows users to query, visualize, and download water quality
data aligned with widely-adopted data and metadata standards (e.g.,
Water Quality eXchange, ISO19115 and schema.org). The path towards
DataStream evolving as a collaborative and open data platform has been
guided by the FAIR and CARE data principles. To date, over 140 different
groups across Canada are using DataStream to publish water monitoring
results including watershed groups, Indigenous organizations,
researchers and governments at all levels. We will highlight our lessons
learned in developing the platform to align with FAIR data principles
and the elements we believe have been key to our success including
DataStream's open data schema, clear data licensing and regional
partnership model.%
\end{abstract}%



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