
arXiv: 2508.00859
High-quality, "rich" metadata are essential for making research data findable, interoperable, and reusable. The Center for Expanded Data Annotation and Retrieval (CEDAR) has long addressed this need by providing tools to design machine-actionable metadata templates that encode community standards in a computable form. To make these capabilities more accessible within real-world research workflows, we have developed the CEDAR Embeddable Editor (CEE)-a lightweight, interoperable Web Component that brings structured, standards-based metadata authoring directly into third-party platforms. The CEE dynamically renders metadata forms from machine-actionable templates and produces semantically rich metadata in JSON-LD format. It supports ontology-based value selection via the BioPortal ontology repository, and it includes external authority resolution for persistent identifiers such as ORCIDs for individuals and RORs for research organizations. Crucially, the CEE requires no custom user-interface development, allowing deployment across diverse platforms. The CEE has been successfully integrated into generalist scientific data repositories such as Dryad and the Open Science Framework, demonstrating its ability to support discipline-specific metadata creation. By supporting the embedding of metadata authoring within existing research environments, the CEE can facilitate the adoption of community standards and help improve metadata quality across scientific disciplines.
Human-Computer Interaction, FOS: Computer and information sciences, 68N19 (Primary) 68M11 (Secondary), Digital Libraries, Digital Libraries (cs.DL), D.2.2; D.2.11; D.2.13; H.3.5; H.5.2, Human-Computer Interaction (cs.HC)
Human-Computer Interaction, FOS: Computer and information sciences, 68N19 (Primary) 68M11 (Secondary), Digital Libraries, Digital Libraries (cs.DL), D.2.2; D.2.11; D.2.13; H.3.5; H.5.2, Human-Computer Interaction (cs.HC)
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
