Open data APIs: standards, best practices, and implementation challenges

At the API Specifications Conference, Postman Data Lead Pascal Heus highlighted the critical role of open data standards in transforming raw data into digital knowledge, a process essential for informed decision-making across various domains. He emphasized the challenges of managing data, which often lack accompanying metadata, resulting in researchers spending significant time searching for contextual information. To address this, Pascal advocated for the adoption of machine-actionable metadata standards and the FAIR principles, enabling data to be findable, accessible, interoperable, and reusable. He underscored the importance of collaboration between technology experts and data specialists to develop metadata standards and APIs that bridge the gap between data and knowledge. This collaboration is crucial for realizing a data-driven world that supports efficient research and machine intelligence, ultimately benefiting society and the environment.

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