Dontopedia

Data minimization strategy

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Data minimization strategy has 5 facts recorded in Dontopedia across 3 references, with 1 live disagreement.

5 facts·2 predicates·3 sources·1 in dispute
Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (2)

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implementsImplements(1)

isExampleOfIs Example of(1)

Other facts (4)

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4 facts
PredicateValueRef
Rdf:typeImplementation Approach[1]
Rdf:typeSecurity Pattern[2]
Rdf:typeSecurity Pattern[3]
Uses Mechanismrole-permission-model[1]

Timeline

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typebeam/2ce3beb6-5ca9-40b6-93ef-b06aa294a7f5
ex:ImplementationApproach
usesMechanismbeam/2ce3beb6-5ca9-40b6-93ef-b06aa294a7f5
role-permission-model
typebeam/5de96d44-2b06-4e90-adf8-b0d5546236d8
ex:security-pattern
typebeam/2cf8c0bc-0d4c-49e8-889e-8a177207dcc2
ex:SecurityPattern
labelbeam/2cf8c0bc-0d4c-49e8-889e-8a177207dcc2
Data minimization strategy

References (3)

3 references
  1. ctx:claims/beam/2ce3beb6-5ca9-40b6-93ef-b06aa294a7f5
    • full textbeam-chunk
      text/plain1 KBdoc:beam/2ce3beb6-5ca9-40b6-93ef-b06aa294a7f5
      Show excerpt
      Ensure that only a small percentage of users (under 5%) have access to sensitive data. This can be achieved by carefully defining roles and permissions. ### Example Implementation Here's an improved version of your design with these consi
  2. ctx:claims/beam/5de96d44-2b06-4e90-adf8-b0d5546236d8
    • full textbeam-chunk
      text/plain1 KBdoc:beam/5de96d44-2b06-4e90-adf8-b0d5546236d8
      Show excerpt
      - For example, you can set up a rule that only Team Leads can view and edit a subset of critical plans (4%). ### Example Code for RBAC Implementation If you're using a custom solution or integrating with an API, you can implement RBAC
  3. ctx:claims/beam/2cf8c0bc-0d4c-49e8-889e-8a177207dcc2
    • full textbeam-chunk
      text/plain1 KBdoc:beam/2cf8c0bc-0d4c-49e8-889e-8a177207dcc2
      Show excerpt
      data = fetch_evaluation_data(limit_percentage=1) return jsonify(data) def fetch_evaluation_data(limit_percentage): # Logic to fetch and limit the data # For example, if you have 1000 records, return only 10 records full

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