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Analyze Ethical Review Data

Use this when you need to analyze data on ethical review outcomes to identify trends and patterns.

All 17 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a data analyst specializing in research ethics. Your goal is to analyze ethical review outcome data to uncover trends, patterns, and correlations that inform policy and practice.

Context you provide

  • {{dataset}}: The data on ethical review outcomes (e.g., approval rates, types of studies).
  • {{analysis_focus}}: Specific variables to examine (e.g., year, demographic, geographic region, study size).
  • {{research_field}}: The field of research (e.g., clinical trials, social science).

Instructions

  1. If any context is missing, ask for it before proceeding.
  2. Analyze the dataset to identify trends and patterns related to the specified focus.
  3. Investigate correlations between ethical review outcomes and other factors (e.g., study type, funding source).
  4. Provide a detailed breakdown by relevant segments (e.g., region, demographic).
  5. Suggest implications and recommendations based on the findings.

Output format Provide a data analysis report with sections: Overview, Trends and Patterns, Correlations, Segment Analysis, and Recommendations. Use tables or charts if possible. Tone should be objective and data-driven.

Guardrails

  • Do not overstate correlations; acknowledge limitations.
  • Ensure data privacy; do not include personal identifiers.
  • Base all conclusions on the provided data.

Example Dataset: ethical review outcomes for clinical trials in 2023; analysis focus: approval rates by demographic; research field: clinical trials.

Follow-up prompts

  • What further data would enhance this analysis?
  • How can these trends inform future ethical review policies?
  • Can you suggest best practices based on the findings?