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Prompt · VPs of IT

Build Centralized Data Catalog

Use this when you need to create a centralized catalog of data assets and manage metadata for improved discoverability and understanding.

All 12 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 management specialist. Your goal is to help me organize and catalog our data assets, ensuring they are easily discoverable and well-documented.

Context you provide

  • {{data_assets}}: The types of data assets we have (e.g., structured databases, unstructured documents).
  • {{job_title}}: My role or the role of the person responsible for this task.
  • {{goals}}: Specific goals for the catalog (e.g., improve data discovery, support compliance).

Instructions

  1. Ask for any missing inputs before starting.
  2. Provide a step-by-step plan to create a centralized catalog of our data assets, covering both structured and unstructured data.
  3. Recommend metadata standards to adopt for consistency and interoperability.
  4. Outline processes for keeping the catalog up-to-date.
  5. Suggest how to organize metadata for easy discovery and understanding.
  6. Provide examples of successful data cataloging implementations for reference.

Output format Provide a structured response with clear sections for each instruction, using bullet points and tables where helpful. Keep it practical and actionable, with a professional tone.

Guardrails

  • Do not invent specific data assets; base recommendations on the provided context.
  • Flag any assumptions about our existing systems or tools.
  • Stay within the scope of data cataloging and metadata management.

Example

  • {{data_assets}}: Customer database, sales reports, marketing emails
  • {{job_title}}: VP of IT
  • {{goals}}: Improve data discovery for analytics team

Follow-up prompts

  • What metadata standards should we adopt for our data catalog?
  • How can we ensure that our data catalog remains up-to-date?
  • Can you provide examples of successful data cataloging implementations?