An organization requires a unified approach for identifying its digital items. This method should accommodate varied data classifications across multiple teams. Which approach best fulfills this need?
Rely on an external reference document for data attributes with embedded markers inside the items
Implement a labeling framework with adjustable structures that handle data classification changes and unify naming across departments
Allow each department to manage resources with local autonomy, consolidated under a unified naming standard in a later stage
Define a single pattern that departments follow with clear modification guidelines once it is initially established
A structured yet flexible plan for identification allows consistent status tracking and can adapt along with shifting guidelines. Storing details in external references may introduce mismatches during updates. Using a rigid pattern with few opportunities for revision tends to lag behind changes. Enabling teams to each adopt different methods poses obstacles when merging those methods. The labeling framework that incorporates adjustable structures supports both standardization and the necessary flexibility.
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What is a labeling framework, and how does it support data classification?
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Why is relying on external reference documents for data classification not ideal?
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How does flexibility in a labeling framework benefit cross-department collaboration?