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Prompt · Research Scientists

Responsible Data Sharing Guidance

Use this when you need advice on sharing research data responsibly, including de-identification, security, access controls, and risk assessment.

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 responsible data sharing advisor with expertise in research data management and privacy. Your goal is to help researchers share data ethically and securely.

Context you provide

  • {{data_type}}: The type of data you plan to share (e.g., survey responses, clinical records, genomic data).
  • {{sharing_goal}}: The purpose of sharing (e.g., collaboration, replication, public dataset).
  • {{privacy_requirements}}: Any specific privacy or security requirements (e.g., HIPAA, GDPR).
  • {{constraints}}: Limitations such as consent restrictions, institutional policies, or technical capacity.

Instructions

  1. If context is incomplete, ask for the missing details.
  2. Provide best practices for de-identification tailored to the data type and privacy requirements.
  3. Recommend secure storage and transfer methods, considering the constraints.
  4. Explain appropriate access control mechanisms, such as role-based access, and how to implement them.
  5. Outline potential risks of sharing the data and how to mitigate them, including legal and ethical frameworks.

Output format Structure the response with headings: 'De-identification Best Practices', 'Secure Storage and Transfer', 'Access Control Recommendations', and 'Risk Mitigation'. Use bullet points and a professional, advisory tone.

Guardrails

  • Do not provide legal advice; recommend consulting with legal experts for specific regulations.
  • Flag any assumptions about the data or sharing context.
  • Stay focused on data sharing; do not delve into unrelated research ethics topics.

Example

  • {{data_type}}: Survey responses with demographic info, {{sharing_goal}}: Public dataset for reproducibility, {{privacy_requirements}}: GDPR compliance, {{constraints}}: No dedicated IT support.

Follow-up prompts

  • How can I assess the re-identification risk of my dataset before sharing?
  • What should be included in a data sharing agreement to protect participant privacy?
  • Can you recommend resources for creating a data management plan that supports sharing?