Which sequence correctly outlines the four steps to creating a data inventory for a Privacy Impact Assessment (PIA)?

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Multiple Choice

Which sequence correctly outlines the four steps to creating a data inventory for a Privacy Impact Assessment (PIA)?

Explanation:
Starting with planning sets the foundation for a robust data inventory. In a Privacy Impact Assessment, you need to define the scope, identify the right stakeholders, and allocate resources. This ensures everyone agrees on what’s in scope, what data sources exist, and what governance is in place before you start collecting details. Next, deciding what information to collect is essential. This step translates the planning into concrete data elements: data categories, processing purposes, data flows, retention, data subject rights, legal basis, and any vendors or systems involved. By choosing the exact metadata to capture, you avoid gathering irrelevant information and ensure the inventory will support the PIA’s analysis. Then you populate the inventory. With the scope and data elements defined, you gather the actual information through interviews, policy and system reviews, data mapping, data lineage analyses, questionnaires, and automated scans. This is where the metadata starts to take shape and the inventory becomes a true record of what data exists and how it’s processed. Finally, publishing the metadata makes the inventory available to stakeholders and supports ongoing governance. Publishing includes compiling, validating, and distributing the data, along with versioning, access controls, and plans for regular updates and re-assessment. If the steps are out of order, you’d risk collecting the wrong data, skipping critical sources, or failing to provide a governance mechanism for the resulting inventory.

Starting with planning sets the foundation for a robust data inventory. In a Privacy Impact Assessment, you need to define the scope, identify the right stakeholders, and allocate resources. This ensures everyone agrees on what’s in scope, what data sources exist, and what governance is in place before you start collecting details.

Next, deciding what information to collect is essential. This step translates the planning into concrete data elements: data categories, processing purposes, data flows, retention, data subject rights, legal basis, and any vendors or systems involved. By choosing the exact metadata to capture, you avoid gathering irrelevant information and ensure the inventory will support the PIA’s analysis.

Then you populate the inventory. With the scope and data elements defined, you gather the actual information through interviews, policy and system reviews, data mapping, data lineage analyses, questionnaires, and automated scans. This is where the metadata starts to take shape and the inventory becomes a true record of what data exists and how it’s processed.

Finally, publishing the metadata makes the inventory available to stakeholders and supports ongoing governance. Publishing includes compiling, validating, and distributing the data, along with versioning, access controls, and plans for regular updates and re-assessment.

If the steps are out of order, you’d risk collecting the wrong data, skipping critical sources, or failing to provide a governance mechanism for the resulting inventory.

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