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OpenImmuno

FAIRsharing: A Curated Resource for Data and Metadata Standards

  • OI TeamOI Team
  • November 2, 2024
  • Collaboration, Open Data and Transparency, Policy Engagement, Protocols and Guidelines, Training and Education
FAIRsharing Project
Application
🧬
FAIRsharing is a curated, informative resource on data and metadata standards, inter-related with databases and data policies. It helps consumers discover, select, and use resources confidently, while supporting producers to make their resources more visible, adopted, and cited.
Contributors
👥
Key figures: Susanna-Assunta Sansone, Philippe Rocca-Serra, Allyson Lister, and the FAIRsharing Team.
Contact
✉️
support@fairsharing.org
Free
💸
Free and open access to curated standards, databases, and policies.
Progress
📈
Ongoing updates and expert curation. FAIRsharing continues to grow and adapt, ensuring users access the most reliable data resources.
Resources
🔗
https://fairsharing.org/

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.

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OI Team
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