From ccac4a58cf8d8ce5368a8b228a9478364ecd104b Mon Sep 17 00:00:00 2001 From: Diego Ripley Date: Wed, 18 Feb 2026 06:44:31 -0500 Subject: [PATCH] Add 'Science needs a social network for sharing big data' blog post from Tom Nicholas. Really good read --- content/_index.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/content/_index.md b/content/_index.md index 17f677d..4f285c2 100644 --- a/content/_index.md +++ b/content/_index.md @@ -21,11 +21,11 @@ We prioritize our work in a utilitarian manner, aiming to provide the greatest a Our approach is guided by the following: * [Link rot in LIS literature: a 20-year study of web citation decay, recovery and preservation challenges](https://doi.org/10.1108/AJIM-05-2025-0286) -* [Guidance on assessing readiness to manage data according to Findable, Accessible, Interoperable, Reusable (FAIR) principles](https://www.canada.ca/en/government/system/digital-government/digital-government-innovations/information-management/guidance-assessing-readiness-manage-data-according-findable-accessible-interoperable-reusable-principles.html) +* [Guidance on Assessing Readiness to Manage Data According to the Findable, Accessible, Interoperable and Reusable (FAIR) Principles](https://www.canada.ca/en/government/system/digital-government/digital-government-innovations/information-management/guidance-assessing-readiness-manage-data-according-findable-accessible-interoperable-reusable-principles.html) * [GC White Paper: Data Sovereignty and Public Cloud](https://www.canada.ca/en/government/system/digital-government/digital-government-innovations/cloud-services/digital-sovereignty/gc-white-paper-data-sovereignty-public-cloud.html) * [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/) - +* [Science Needs a Social Network for Sharing Big Data](https://hackmd.io/wKKm4cIDR6a9kYwZ3srVFg?view) ## 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.