From a425c6fe85c7b512b4ac4e20ab6fd3c3a9851f36 Mon Sep 17 00:00:00 2001 From: Diego Ripley Date: Sat, 14 Feb 2026 17:04:08 -0500 Subject: [PATCH] Reorder parts in homepage --- content/_index.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/content/_index.md b/content/_index.md index fb535ca..17f677d 100644 --- a/content/_index.md +++ b/content/_index.md @@ -11,6 +11,9 @@ Data for Canada exists to bridge the gap between open data availability, resilie Canada creates incredible amounts of open data, from foundational road networks to federal census statistics and orthoimagery. However, these datasets are often locked in legacy formats, fragmented portals, or structures that require significant engineering effort to normalize. For our target audience, the "time-to-insight" is often bottlenecked by data preparation. +**Data Stability:** +Beyond technical barriers, open data can be ephemeral. Links break, portals are reorganized, and priorities shift, causing valuable datasets to vanish from the public web. This instability makes it risky to build long-term research or software on top of data providers. + ## What Guides Us We prioritize our work in a utilitarian manner, aiming to provide the greatest amount of good to the greatest amount of individuals. Our approach is guided by the principles of **digital preservation** and the need to keep public information accessible over the long term. @@ -23,9 +26,6 @@ Our approach is guided by the following: * [Sustainability of Digital Formats: Planning for Library of Congress Collections](https://www.loc.gov/preservation/digital/formats/index.html) * [Cloud-Optimized Geospatial Formats Guide](https://guide.cloudnativegeo.org/) -**Data Stability:** -Beyond technical barriers, open data can be ephemeral. Links break, portals are reorganized, and priorities shift, causing valuable datasets to vanish from the public web. This instability makes it risky to build long-term research or software on top of data providers. - ## The Solution We act as the transformation layer. We aggregate datasets with permissive licenses and process them into "digestible" standards optimized for modern downstream applications.