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Related Experiment Video

Updated: Mar 24, 2026

Using Cyclic Voltammetry, UV-Vis-NIR, and EPR Spectroelectrochemistry to Analyze Organic Compounds
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Database utility for cyclovoltammetry knowledge (DUCK): unified platform for electrochemical data.

Diego Garay-Ruiz1, Sergio Pablo-García2, Han Hao2

  • 1Instituto de Micro y Nanotecnología, IMN-CNM, CSIC (CEI UAM+CSIC) Isaac Newton, 8 28760 Tres Cantos Madrid Spain marisol.martin@csic.es.

Digital Discovery
|March 23, 2026
PubMed
Summary
This summary is machine-generated.

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DUCK organizes and analyzes cyclic voltammetry (CV) data using knowledge graphs, enhancing reproducibility. This platform promotes FAIR data principles for electrochemistry research, improving data sharing and reuse across diverse laboratory settings.

Area of Science:

  • Electrochemistry
  • Data Science
  • Materials Science

Background:

  • Cyclic voltammetry (CV) is crucial for electrochemical analysis but suffers from poor data standardization.
  • Lack of standardized protocols hinders CV data reusability and reproducibility.
  • Existing data management lacks a unified approach for diverse electrochemical studies.

Purpose of the Study:

  • To introduce DUCK (Database Utility for Cyclovoltammetry Knowledge), a platform for organizing, analyzing, and exploring CV data.
  • To implement FAIR data principles within the electrochemistry community.
  • To create a unified system for managing CV data from various experimental setups.

Main Methods:

  • Developed CVOnto, a formal ontology for CV measurement data.

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  • Created DUCK-KG, an automated tool for generating knowledge graphs from experimental metadata.
  • Designed DUCK-Viz, an interactive web interface for CV data visualization and analysis.

    • Main Results:

    • Successfully applied DUCK to 130 CV experiments in electrodeposition studies.
    • Demonstrated DUCK's utility with 79 automated CV measurements from self-driving laboratories.
    • Validated DUCK as a unified platform for diverse CV data management.

    Conclusions:

    • DUCK provides a robust framework for managing and analyzing CV data.
    • The platform enhances data accessibility and promotes collaborative research in electrochemistry.
    • DUCK facilitates the adoption of FAIR data principles, advancing electrochemical research reproducibility.