Request a dataset

  • Release version: Australia
  • Updated March 12, 2026
  • 2 minutes to read

    • Request a dataset to support AI model training, testing, validation, or analytical use cases. This process helps ensure data sources are reviewed for quality, privacy, and compliance.

    Before you begin

    Role required: AI risk and compliance business user (Employee Center), sn_ai_asset_mgmt.ai_asset_owner (AI Control Tower dashboard)

    About this task

    Datasets are critical inputs for AI systems and models. Requesting a dataset initiates review of data origin, sensitivity, usage purpose, and compliance obligations before the data is used. Datasets can be associated with one or more AI models or AI systems as part of inventory tracking and governance.

    Procedure

    1. Request a dataset using one of the following options.
      OptionDescription
      Employee Center
      1. Navigate to All > Self-Service > Employee Center.
      2. Select Help center > Technology services and then select AI assets from the Technology services topics section.
      3. Select the Request a dataset card.
      Note:
      AI Risk and Compliance Business User and AI Asset owner can complete this option.
      AI Control Tower
      1. Navigate to All > AI Control Tower.
      2. On the AI Control Tower dashboard, select the list icon , and navigate to the AI asset inventory - Managed or AI asset inventory - Unmanaged
      3. Select Datasets, then select Add dataset.
      Note:
      An AI Asset owner can complete this option.
    2. On the form, fill in the fields.

      For full descriptions of the fields for the Request an AI dataset form, see Request a dataset form. For more information, on adding a dataset using the AI Control Tower, see Create dataset assets.

    3. Optional: To add attachments, select Add attachments.
    4. Optional: To save the form as a draft and edit it later, select Save as Draft.
    5. Select Submit.
      The dataset request is submitted for governance review.

    What to do next

    After submitting a dataset request, the next steps depend on your role in the life cycle.

    AI Product Owner or Requester [sn_grc_ai_gov.ai_risk_and_compliance_user]: Provide additional information as requested during intake and onboarding, including details about the AI dataset and intended business outcomes.

    AI Steward or AI Center of Excellence (AI CoE) [sn_grc_ai_gov.ai_risk_and_compliance_manager, sn_ai_asset_mgmt.ai_asset_owner]: Review submitted requests for business and strategy alignment, initiate the review process and trigger required assessments as applicable, and coordinate cross‑functional reviews. Continue to oversee the dataset through its life cycle, including inventory tracking, governance activities, and collaboration across stakeholders.

    For more information, see AI Control Tower dashboard.

    Risk and Compliance Manager [sn_grc_ai_gov.ai_risk_and_compliance_manager]: Assess the dataset for regulatory, policy, and risk considerations. Assign risk assessments, recommend controls and attestations, and monitor compliance throughout the dataset and associated AI system life cycle.

    For more information, see AI Risk and Compliance workspace, Initiate AI assessment on an AI asset, Initiate risk assessment on AI asset, Initiate risk assessment on AI asset's risks, and Manage controls using AI Risk and Compliance.

    For an overview of how AI systems and datasets move from intake through assessment, deployment, monitoring, and value tracking, see AI governance life cycle.