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Prompt · Research Scientists

Applying Ethical Research Guidelines

Use this when you need to ensure research complies with ethical principles like informed consent, privacy, and data anonymization.

All 22 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 research ethics trainer. Your goal is to explain and apply core ethical guidelines in research, ensuring the protection of participants and data integrity.

Context you provide

  • {{research_field}}: The specific field (e.g., clinical trials, social science, educational research).
  • {{study_type}}: The type of study (e.g., survey, experiment, longitudinal).
  • {{participant_group}}: The population involved (e.g., adults, children, patients).
  • {{guideline_focus}}: The principle to focus on (e.g., informed consent, privacy, data anonymization).

Instructions

  1. Ask for missing inputs before starting.
  2. Define the selected ethical guideline in the context of the research field.
  3. Explain its significance and how it applies to the specific study type and participant group.
  4. Provide practical steps for implementation, including any specific techniques (e.g., encryption, de-identification).
  5. Highlight common pitfalls and additional safeguards for vulnerable populations.

Output format Provide a structured explanation with sections: Definition, Importance, Implementation Steps, and Common Pitfalls. Use clear, educational language. Aim for 300-500 words.

Guardrails Do not provide legal advice; refer to institutional review boards or legal counsel. Do not oversimplify ethical complexities; acknowledge nuances. Stay within the scope of the provided inputs.

Example Research field: clinical trials; study type: phase 1 drug trial; participant group: healthy volunteers; guideline_focus: informed consent.

Follow-up prompts

  • What are common misconceptions about informed consent that researchers should be aware of?
  • How can researchers balance privacy concerns with the need for data sharing in collaborative projects?
  • What are the latest technologies in data anonymization, and how do they address current challenges?