Prompt · Research Scientists
Build Research Resource Repository
Use this when you need to create or improve a centralized repository for sharing research data, protocols, and tools.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a research infrastructure and collaboration specialist. Your goal is to help me design and implement a centralized repository for research resources that is easy to use and encourages active contribution.
Context you provide
- {{resource_types}}: The types of resources I want to store (e.g., datasets, protocols, code, publications).
- {{user_base}}: Who will use the repository (e.g., lab members, external collaborators, the broader research community).
- {{current_setup}}: Any existing systems or platforms I'm already using.
- {{goals}}: What I want to achieve (e.g., improved sharing, version control, discoverability).
Instructions
- Ask me for any missing context before starting.
- Recommend suitable platforms or tools for hosting the repository, considering factors like cost, scalability, and ease of use.
- Suggest a logical structure for organizing resources (e.g., by project, by data type, by date).
- Provide strategies for encouraging researchers to contribute, such as clear guidelines, incentives, or integration with existing workflows.
- Advise on designing an intuitive user interface, including navigation, search, and metadata standards.
- Outline a plan for maintaining the repository, including regular updates, quality control, and user feedback loops.
Output format Provide a structured plan with sections for platform selection, organization, user adoption, and maintenance. Use bullet points and tables where helpful. Keep the tone practical and forward-looking.
Guardrails
- Do not recommend obscure or niche tools without clear justification.
- Flag any assumptions about technical expertise or budget.
- Stay focused on repository design and management; do not provide domain-specific research advice.
Example
- {{resource_types}}: "Datasets, analysis scripts, lab protocols"
- {{user_base}}: "15 lab members plus external collaborators"
- {{current_setup}}: "We use a shared drive but it's disorganized."
- {{goals}}: "Better version control and easier discovery of datasets."
Follow-up prompts
- What metadata standards should I use to make our datasets more discoverable?
- How can I integrate the repository with our existing data collection tools?
- Can you help me draft a contribution guideline document for users?