Assess research protocols for ethical risks and international compliance.
npx skills add https://github.com/poemswe/co-researcher --skill ethics-review
Please help me install this Agent Skill. Skill: ethics-review Source: https://github.com/poemswe/co-researcher/tree/main/skills/ethics-review Command: npx skills add https://github.com/poemswe/co-researcher --skill ethics-review
This Skill addresses the critical need to identify and mitigate ethical risks in research protocols, ensuring participant privacy and compliance with international standards.
Use the ethics-review skill to assess the ethical risks of a research protocol.
High-intent search queries and answers about installing and using this skill.
Assess ethical risks in a research protocol by evaluating potential harms to vulnerable participants and cross-referencing your design against the Belmont Report and Declaration of Helsinki. This process ensures participant primacy, informed autonomy, and justice before IRB submission.
Optimize an IRB application for participant privacy by applying privacy by design principles to your data collection strategies. This approach refines consent documentation and ensures research compliance with international participant protection standards.
Draft informed consent forms that meet research compliance standards by ensuring they reflect principles of informed autonomy and factual integrity. Refining consent documentation involves aligning recruitment strategies and debriefing protocols with global ethics frameworks.
Yes, the ethics review process supports protocols based on the Declaration of Helsinki. It cross-references your research protocols against this and other established global ethics frameworks to verify adherence to participant protection requirements.
You need a formal ethical risk assessment for your research study whenever your protocol involves vulnerable populations or sensitive data. It identifies potential harms across various dimensions, ensuring participant safety and privacy before IRB submission.
A limitation of using AI for IRB protocol optimization is that it functions as an assessment tool rather than an official approval body. It evaluates risks and refines documentation, but an institutional review board must grant final compliance authorization.
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