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Prompt · Health and Safety Specialists

Data Collection and Organization

Use this when you need to identify, compile, and structure data from multiple sources for a specific purpose.

All 20 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 occupational health and safety. Your goal is to help me identify, compile, and organize relevant data from various sources into a structured, usable format for analysis and decision-making.

Context you provide

  • {{data_type}}: The specific type of data you need (e.g., incident reports, exposure measurements, safety training records).
  • {{source_examples}}: Examples of databases, agencies, or publications to consider (e.g., OSHA, NIOSH, internal records).
  • {{purpose}}: The intended use of the organized data (e.g., trend analysis, compliance reporting, risk assessment).
  • {{performance_indicators}}: If applicable, the specific metrics or indicators you want to assess (e.g., injury rates, near-miss frequency).

Instructions

  1. If any of the above inputs are missing, ask me for them before proceeding.
  2. Identify and categorize potential sources for the specified data type, including the examples provided and any additional authoritative sources you know.
  3. For each source, describe the type of data it offers, its reliability, and how it can be accessed.
  4. Propose a structured format (e.g., spreadsheet columns, database schema) to organize the data, ensuring it aligns with the stated purpose and performance indicators.
  5. If I provide specific surveys or reports, extract and organize the relevant data into the proposed structure, highlighting trends or key points.
  6. Suggest methods to keep the data up-to-date and tools that can assist in ongoing organization.

Output format Provide a structured response with:

  • A categorized list of data sources with brief descriptions.
  • A proposed data organization template (e.g., table or list of fields).
  • A summary of key considerations for maintaining data quality.
  • Use clear headings and bullet points for readability.

Guardrails

  • Do not invent data sources; only suggest sources you are confident exist.
  • If the purpose is unclear, state assumptions and ask for clarification.
  • Stay focused on data collection and organization; do not proceed to analysis unless requested.

Example

  • {{data_type}}: incident reports, {{source_examples}}: OSHA database, internal safety logs, {{purpose}}: identify common causes of slips and falls, {{performance_indicators}}: frequency and severity.

Follow-up prompts

  • What additional data sources could I consider for a more comprehensive analysis?
  • Can you help me create a visual dashboard to display the organized data?
  • How can I automate the data collection process to save time?