ONION框架让多方参与实体关系建模，更公平透明。
ONION: A Multi-Layered Framework for Participatory ER Design
- 分五阶段逐步把用户原始意见转为规范的ER图
- 乌克兰实地工作坊验证了其提升模型丰富度与理解深度
- 适合需要包容性设计的数据建模场景
我们提出ONION，一种多层参与式实体-关系（ER）建模框架，融合设计正义、参与式AI与概念建模理念。ONION采用五阶段方法：观察（Observe）、培育（Nurture）、整合（Integrate）、优化（Optimize）、标准化（Normalize），支持从非结构化利益相关者输入逐步抽象为结构化ER图。该方法旨在减少设计偏见，促进包容性参与，并提升建模过程透明度。通过聚焦乌克兰社会技术系统的现实工作坊评估，结果表明多元利益相关者参与可生成更丰富的数据模型并深化相互理解。初步结果显示ONION在早期数据建模中具备容纳多样性的潜力。最后总结了框架推广与精炼中的经验、局限与挑战。
原文摘要 · Abstract (English)
We present ONION, a multi-layered framework for participatory Entity-Relationship (ER) modeling that integrates insights from design justice, participatory AI, and conceptual modeling. ONION introduces a five-stage methodology: Observe, Nurture, Integrate, Optimize, Normalize. It supports progressive abstraction from unstructured stakeholder input to structured ER diagrams. Our approach aims to reduce designer bias, promote inclusive participation, and increase transparency through the modeling process. We evaluate ONION through real-world workshops focused on sociotechnical systems in Ukraine, highlighting how diverse stakeholder engagement leads to richer data models and deeper mutual understanding. Early results demonstrate ONION's potential to host diversity in early-stage data modeling. We conclude with lessons learned, limitations and challenges involved in scaling and refining the framework for broader adoption.
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