Ensuring long-term reusability and reproducibility: Collaborative Curation for FAIR data
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Ensuring long-term reusability and reproducibility: Collaborative Curation for FAIR data
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2022
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Through the Data Curation Network (DCN), members enable findable, accessible, interoperable, and reusable (FAIR) data through a shared curation model, education and outreach efforts, and research and advocacy. This work exists within a member- funded and member-driven organization, with a focus on sustainability and long-term growth. Members of the DCN help shape the future of data curation and enable FAIR data by sharing best practices, collaboratively addressing shared challenges, empowering and educating one another, and advocating for data curation broadly.
Poster created for and presented at the 17th International Digital Curation Conference (IDCC) June 2022. Includes a sixty second audio file describing the poster.
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Narlock, Mikala R.; Taylor, Shawna. (2022). Ensuring long-term reusability and reproducibility: Collaborative Curation for FAIR data. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/227645.
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