What immediately struck me was CKAN’s true meritocratic spirit. Read more.
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We have grown used to reading and hearing about the enormous potential of artificial intelligence (AI). The rapidly evolving nature of the technology makes it difficult to pinpoint specific shifts in the relationship between AI and open data. But one emerging discussion that Link Digital is keen to highlight concerns the proposition that the intersection between the two involves far more than open data’s role as raw material to train and operate large machine learning models, the focus of so much of the commentary to date.
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Every organisation dreams of having a data portal in which information flows seamlessly. But most get it wrong by diving into complex features before nailing the basics.
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Finding what you need in the landscape of data can sometimes feel like a daunting task. But what if there was a way to make all that data more easily discoverable and usable? That’s where Data Catalogue Vocabulary (DCAT) is essential. This standard, recommended by the World Wide Web Consortium (W3C), aims to bring order to the chaos by providing a common language for describing datasets.
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One of the many areas of action required to deal with the global climate crisis is building climate resilience—the ability to prepare for, recover from, and adapt to climate change impacts. Open data portals—front-facing web applications designed to make data more discoverable and easier to share and interpret—are vital to ensuring stakeholders get the high-quality, up-to-date data necessary for more effective climate resilience measures.
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