Ethics Tools and Frameworks for Research Governance
by Antonija Mijatović·Updated 4mo ago
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Description
A 2026 scoping review systematically identified 39 publications describing conceptual and practical tools for enhancing ethics review. The dataset maps tools like scenario-based planning, ethical matrices, and participatory models across domains including artificial intelligence, genomics, conservation, and public health. Key themes include early-stage ethics integration, participatory engagement, and managing value conflicts, illustrating a shift from static checklists to dynamic, anticipatory governance.
Use Cases
Mapping ethics review tools on an engagement (expert-driven vs. participatory) and temporal (reactive vs. anticipatory) matrix based on the described analytical framework.
Identifying tools for specific domains like AI or genomics based on the documented application areas from the scoping review.
Comparing scenario-based planning, ethical matrices, and computational approaches for managing uncertainty and value conflicts as described in the review.
Designing participatory deliberation models for anticipatory governance based on the reviewed frameworks.
Strengths
Based on a systematic search of Scopus and Web of Science, identifying 39 relevant publications.
Provides a structured two-dimensional matrix mapping tool variations in engagement and temporal orientation.
Covers a wide range of application domains including artificial intelligence, genomics, conservation, and public health.
Limitations
The dataset's internal structure and column names are not provided, limiting direct computational analysis.
The row count is unknown, making the scale of the underlying coded data unclear.
Relies on a single scoping review methodology, which may not capture all relevant tools.
Provenance
Source
Antonija Mijatović
Collection Method
Systematic scoping review of academic literature from Scopus and Web of Science.
Freshness
Last updated 2026-03-18.
License is CC-BY-4.0. Primary file format is DOCX, suggesting a text document rather than a structured data table.