Work

Semantic Metadata Schema for Risks and Mitigations

Year: 2025

Type: article

Abstract: The document proposes a semantically structured metadata schema adhering to W3C standards, to represent risks and mitigations associated with statistical outputs, for the process of statistical disclosure control. The semantic metadata schema (from now referred to as “schema”) is designed to address the following core objectives: Provide a modular, scalable design that can adapt to changing needs and be easily integrated into automated processing systems. Enable principled comparisons between manual processes and the functionality provided by different versions of automated software. Support extensibility and serve as a basis for supporting complex output structures such as AI models.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17143221

Authors: Padiya, Trupti, Smith, Jim, Ritchie, Felix, Green, Elizabeth

Institution: University of the West of England

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: UK Research and Innovation

Award: G5235844062