New Paper in the Data Science Journal: Author Once, Publish Everywhere with the CEDAR Embeddable Editor
We’re pleased to announce the publication of a new paper in the Data Science Journal titled “Author Once, Publish Everywhere: Portable Metadata Authoring with the CEDAR Embeddable Editor.”
The paper takes a comprehensive look at the CEDAR Embeddable Editor (CEE)—the lightweight, interoperable Web Component that brings structured, standards-based metadata authoring directly into third-party platforms. Instead of sending researchers off to a separate tool, the CEE embeds metadata creation into the environments where they already work, helping make research data findable, accessible, interoperable, and reusable (FAIR).
The Challenge: Rich Metadata Without Leaving the Workflow
High-quality, “rich” metadata are essential for FAIR data, and the CEDAR Workbench has long provided tools to design machine-actionable metadata templates that encode community standards in a computable form. But the original model required researchers to leave their native platforms and engage with a separate, centralized editor—a barrier that limited its integration into routine research and data-submission workflows.
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