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Data Sharing Agreements (DSAs) remain largely unstructured, which hinders consistent interpretation, completeness checks, and reuse. This work introduces a general-purpose Data Sharing Agreement Ontology (DSAO) aligned with the Data Privacy Vocabulary (DPV) and an explainable validation pipeline that integrates SHACL-based structural checks with a guided human-in-the-loop review schema. The proposed approach translates guideline requirements into reusable ontology patterns and SHACL profiles, maintains traceability from requirements to patterns to shapes to competency questions, and records reviewer outcomes as data that can be distilled into warning-level hint shapes. The approach is evaluated on a synthetic corpus of 100 DSA graphs with controlled missing-element defects, measuring SHACL defect detection, competency-question answerability before and after repairs, and the extent to which hint shapes can pre-screen reviewer flags.

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Explainable Validation of Data Sharing Agreements Using DPV, SHACL, and Human-in-the-Loop Review

  • 会议论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年

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  • Julio Hernandez,
  • Harshvardhan J. Pandit

摘要

Data Sharing Agreements (DSAs) remain largely unstructured, which hinders consistent interpretation, completeness checks, and reuse. This work introduces a general-purpose Data Sharing Agreement Ontology (DSAO) aligned with the Data Privacy Vocabulary (DPV) and an explainable validation pipeline that integrates SHACL-based structural checks with a guided human-in-the-loop review schema. The proposed approach translates guideline requirements into reusable ontology patterns and SHACL profiles, maintains traceability from requirements to patterns to shapes to competency questions, and records reviewer outcomes as data that can be distilled into warning-level hint shapes. The approach is evaluated on a synthetic corpus of 100 DSA graphs with controlled missing-element defects, measuring SHACL defect detection, competency-question answerability before and after repairs, and the extent to which hint shapes can pre-screen reviewer flags.