FAIRsharing is an open-access, curated, and informative resource focused on data and metadata standards. It provides a trustworthy guide to inter-related standards, databases, and data policies, aimed at supporting both data consumers and producers in the research and data management ecosystem. By promoting transparent, high-quality standards and databases, FAIRsharing facilitates efficient data discovery, use, and reuse, aligning with the FAIR principles (Findable, Accessible, Interoperable, and Reusable).
Key Features
Trustworthy and Curated: FAIRsharing ensures that its content is curated by experts, allowing both humans and automated tools to access reliable data management resources.
Guidance for Consumers: FAIRsharing assists users in discovering and selecting appropriate standards, databases, and policies, enhancing confidence in data handling.
Support for Producers: The platform helps resource providers make their data resources more visible, widely adopted, and cited, increasing the impact of their work.