Dontopedia

Personal Data

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

Personal Data is sensitive information.

59 facts·18 predicates·26 sources·7 in dispute

Mostly:rdf:type(23), has part(3), is concerned by(2)

Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

Inbound mentions (39)

Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.

appliesToApplies to(12)

involvesInvolves(3)

partOfPart of(3)

requiresRequires(3)

concernsConcerns(2)

governsGoverns(2)

accessTargetAccess Target(1)

describesDescribes(1)

focusesOnFocuses on(1)

hasAccessToHas Access to(1)

hasEntityTypeHas Entity Type(1)

isExampleOfIs Example of(1)

is-required-forIs Required for(1)

isRequirementForIs Requirement for(1)

isTypeOfIs Type of(1)

mayContainMay Contain(1)

objectOfRequestObject of Request(1)

protectsProtects(1)

relatesToRelates to(1)

targetsTargets(1)

Other facts (23)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

23 facts
PredicateValueRef
Has PartLogin Activity Logs[13]
Has PartSensitive Operation Logs[13]
Has PartGeneral Logs[13]
Is Concerned byRetention Policies[10]
Is Concerned byErasure Processes[10]
RequiresEncryption[12]
RequiresSecure Processing[22]
Is Protected byGdpr[22]
Is Protected byAll Measures[25]
Has LifecycleData Retention[23]
Has LifecycleErasure[23]
Silos ExistFacebook, Reddit, Google, safari[1]
Is Contained inLogs[12]
Is Handled byGdpr Regulations[15]
Descriptionsensitive information[16]
Has Attributesensitive[16]
Key inExample Data[16]
Processing RequiresValid Legal Basis[17]
Locationlogs[20]
Stored inRabbitmq[21]
Subject to Retention PolicyRequirement Data Retention Policies[23]
Subject to DeletionRequirement User Deletion Requests[23]
Sensitivity LevelHigh Sensitivity[26]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

silosExistblah/general/part-12
Facebook, Reddit, Google, safari
typebeam/04a3a244-eb44-4bf8-a26f-c30e535aa1f9
ex:DataCategory
labelbeam/04a3a244-eb44-4bf8-a26f-c30e535aa1f9
Personal Data
typeblah/general/57
ex:Data
typebeam/ee0075a1-8b42-468f-9348-c0deeaeffa51
ex:DataCategory
labelbeam/ee0075a1-8b42-468f-9348-c0deeaeffa51
Personal Data
typebeam/4cf98f0b-b9ed-4233-9a31-f7ff28c00f62
ex:DataCategory
typebeam/f51a2563-d007-499a-ba3c-fb6c531c1fe1
ex:DataCategory
labelbeam/f51a2563-d007-499a-ba3c-fb6c531c1fe1
personal data
typebeam/821d581f-82c3-41a5-90e0-71078a9dcc21
ex:DataType
labelbeam/821d581f-82c3-41a5-90e0-71078a9dcc21
personal data
typebeam/89b0a70e-c187-450a-b69d-639e6a7d144f
ex:DataCategory
labelbeam/89b0a70e-c187-450a-b69d-639e6a7d144f
personal data
typebeam/e49c2cb6-1282-4f1f-afad-f8958db45473
ex:DataType
labelbeam/e49c2cb6-1282-4f1f-afad-f8958db45473
Personal Data
typebeam/640fc8cc-fa8c-4439-9b55-953532ab4ff9
ex:DataCategory
labelbeam/640fc8cc-fa8c-4439-9b55-953532ab4ff9
personal data
isConcernedBybeam/640fc8cc-fa8c-4439-9b55-953532ab4ff9
ex:retention-policies
isConcernedBybeam/640fc8cc-fa8c-4439-9b55-953532ab4ff9
ex:erasure-processes
typebeam/7278d8d7-ee95-46fe-9700-88bddc6cd938
ex:DataCategory
labelbeam/7278d8d7-ee95-46fe-9700-88bddc6cd938
personal data
is-contained-inbeam/b40c3216-8832-40a8-98dc-765cb7e88be8
ex:logs
requiresbeam/b40c3216-8832-40a8-98dc-765cb7e88be8
ex:encryption
typebeam/0a3de1f5-923a-4ea2-80f3-cf4d856d168b
ex:DataCategory
labelbeam/0a3de1f5-923a-4ea2-80f3-cf4d856d168b
Personal Data
hasPartbeam/0a3de1f5-923a-4ea2-80f3-cf4d856d168b
ex:login-activity-logs
hasPartbeam/0a3de1f5-923a-4ea2-80f3-cf4d856d168b
ex:sensitive-operation-logs
hasPartbeam/0a3de1f5-923a-4ea2-80f3-cf4d856d168b
ex:general-logs
typebeam/a1b3897a-11db-4040-8dc0-269ba1e9d8e6
ex:DataCategory
labelbeam/a1b3897a-11db-4040-8dc0-269ba1e9d8e6
Personal Data
isHandledBybeam/56477572-d0c4-41d8-b6a3-d490f7505fa1
ex:gdpr-regulations
typebeam/56477572-d0c4-41d8-b6a3-d490f7505fa1
ex:DataCategory
descriptionbeam/b4cf3afb-34f9-41c5-865b-d28edadff887
sensitive information
typebeam/b4cf3afb-34f9-41c5-865b-d28edadff887
ex:DataField
hasAttributebeam/b4cf3afb-34f9-41c5-865b-d28edadff887
sensitive
keyInbeam/b4cf3afb-34f9-41c5-865b-d28edadff887
ex:example-data
processingRequiresbeam/a6e20983-65ef-44d0-96ac-bd242603851c
ex:valid-legal-basis
typebeam/60741bcd-edfd-47db-a6f3-464ac250db74
ex:DataCategory
labelbeam/60741bcd-edfd-47db-a6f3-464ac250db74
personal data
typebeam/f5f83f14-4ac1-4213-848d-419968c7eb68
ex:DataCategory
labelbeam/f5f83f14-4ac1-4213-848d-419968c7eb68
personal data
typebeam/5cb80eb3-1f34-406d-a31e-def10b83c649
ex:DataCategory
locationbeam/5cb80eb3-1f34-406d-a31e-def10b83c649
logs
typebeam/e1010ad9-a218-42a9-aae0-e247755a66dd
ex:DataCategory
storedInbeam/e1010ad9-a218-42a9-aae0-e247755a66dd
ex:rabbitmq
typebeam/a32f0e29-1ce4-4405-ae91-59a6ca3ad913
ex:DataCategory
isProtectedBybeam/a32f0e29-1ce4-4405-ae91-59a6ca3ad913
ex:GDPR
requiresbeam/a32f0e29-1ce4-4405-ae91-59a6ca3ad913
ex:secure-processing
typebeam/0e003730-9551-467d-ae26-5d3e0eca9074
ex:DataCategory
subjectToRetentionPolicybeam/0e003730-9551-467d-ae26-5d3e0eca9074
ex:requirement-data-retention-policies
subjectToDeletionbeam/0e003730-9551-467d-ae26-5d3e0eca9074
ex:requirement-user-deletion-requests
hasLifecyclebeam/0e003730-9551-467d-ae26-5d3e0eca9074
ex:data-retention
hasLifecyclebeam/0e003730-9551-467d-ae26-5d3e0eca9074
ex:erasure
typebeam/c6bd62d0-17bc-4fae-b7b8-6266d7b2503b
ex:DataCategory
labelbeam/c6bd62d0-17bc-4fae-b7b8-6266d7b2503b
personal data
typebeam/98e6ebd2-f6dd-4230-9a43-ab660e9f994b
ex:DataCategory
isProtectedBybeam/98e6ebd2-f6dd-4230-9a43-ab660e9f994b
ex:all-measures
typebeam/41a967cd-e4bc-4b39-a94e-9f6a781e9955
ex:DataType
sensitivityLevelbeam/41a967cd-e4bc-4b39-a94e-9f6a781e9955
ex:high-sensitivity

References (26)

26 references
  1. [1]Part 121 fact
    ctx:discord/blah/general/part-12
  2. ctx:claims/beam/04a3a244-eb44-4bf8-a26f-c30e535aa1f9
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      3. **Test Thoroughly**: Test the system with various scenarios to ensure it correctly identifies compliance issues. By following this approach, you can implement a robust logic for checking lawfulness, fairness, and transparency in your co
  3. [3]571 fact
    ctx:discord/blah/general/57
    • full textgeneral-57
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      [2025-08-09 15:43] jonathan.poczatek: Lololol [2025-08-09 15:44] foxhop.: but instead gemini CLI is just horrible. [2025-08-09 15:44] jonathan.poczatek: Pretty sure it's supposed to be CLI [2025-08-09 15:44] jonathan.poczatek: Which is to b
  4. ctx:claims/beam/ee0075a1-8b42-468f-9348-c0deeaeffa51
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      [Turn 3695] Assistant: Certainly! Implementing GDPR checkpoints for access control in your application requires a thorough understanding of the GDPR principles and how they apply to your specific use case. Here are 10 GDPR checkpoints you c
  5. ctx:claims/beam/4cf98f0b-b9ed-4233-9a31-f7ff28c00f62
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      Here's a structured approach to implement these checkpoints: 1. **Data Minimization**: - Define data collection policies. - Restrict access to personal data through role-based access control (RBAC). 2. **Purpose Limitation**: - D
  6. ctx:claims/beam/f51a2563-d007-499a-ba3c-fb6c531c1fe1
  7. ctx:claims/beam/821d581f-82c3-41a5-90e0-71078a9dcc21
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      - Define data collection policies in your privacy policy. - Implement RBAC to restrict access to personal data. **Code Snippet**: ```python def check_access(user_id, resource): # Check if the user has the required role to access the re
  8. ctx:claims/beam/89b0a70e-c187-450a-b69d-639e6a7d144f
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      - **Record Keeping**: Maintain detailed records of data processing activities. - **Documentation**: Publish privacy policies and terms of service. **Practical Steps**: - Maintain detailed records of data processing activities. - Publish pr
  9. ctx:claims/beam/e49c2cb6-1282-4f1f-afad-f8958db45473
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      10. **Regular Audits and Reviews** ### Review and Suggestions #### 1. Data Minimization - **Policy Definition**: Ensure you have clear policies on what data is collected and why. - **Access Control**: Use role-based access control (RBAC)
  10. ctx:claims/beam/640fc8cc-fa8c-4439-9b55-953532ab4ff9
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      - **Retention Policies**: Define clear retention periods for personal data. - **Erasure Processes**: Implement automated erasure processes. **Improvement**: - Define clear retention periods for personal data. - Implement automated erasure
  11. ctx:claims/beam/7278d8d7-ee95-46fe-9700-88bddc6cd938
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      [Turn 5769] Assistant: Ensuring GDPR compliance for log security involves understanding and implementing the key principles and requirements outlined in the GDPR. Here's a detailed breakdown of how to ensure your log security checks are com
  12. ctx:claims/beam/b40c3216-8832-40a8-98dc-765cb7e88be8
  13. ctx:claims/beam/0a3de1f5-923a-4ea2-80f3-cf4d856d168b
  14. ctx:claims/beam/a1b3897a-11db-4040-8dc0-269ba1e9d8e6
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      ### 6. Training and Awareness Ensure that your staff is trained on your retention policies and can effectively communicate them to users. #### Example Training Material: ```markdown ### Data Retention Policy Our data retention policy outl
  15. ctx:claims/beam/56477572-d0c4-41d8-b6a3-d490f7505fa1
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      # Search for matches in the config matches = re.findall(pattern, config) # If there are matches, return a compliance report if matches: return "Config is compliant with GDPR" else: return "Config is not
  16. ctx:claims/beam/b4cf3afb-34f9-41c5-865b-d28edadff887
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      if not has_data_processing_agreement(data): logging.warning('Data processing agreement is not defined') # Example usage: data = {'personal_data': ' sensitive information'} # Replace with your actual data audit_compliance(data)
  17. ctx:claims/beam/a6e20983-65ef-44d0-96ac-bd242603851c
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      - Clearly define and document the legal basis for each type of data processing activity. - Ensure you have a valid legal basis for processing personal data (e.g., consent, contract, legal obligation). ### Example Implementation Here
  18. ctx:claims/beam/60741bcd-edfd-47db-a6f3-464ac250db74
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      - **Data Minimization**: Store only the minimum amount of data necessary. - **Pseudonymization**: Consider pseudonymizing data to further protect privacy. - **User Rights**: Ensure that users can exercise their rights under GDPR, such as th
  19. ctx:claims/beam/f5f83f14-4ac1-4213-848d-419968c7eb68
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      - **Purpose**: Evaluate the impact of data processing activities on individuals' privacy. - **Scope**: Assess risks associated with data processing, identify mitigating measures, and document findings. - **Frequency**: Before implementing n
  20. ctx:claims/beam/5cb80eb3-1f34-406d-a31e-def10b83c649
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      - **Automated Deletion**: Implement automated processes to delete logs once they exceed the retention period. ### 6. **Data Masking and Anonymization** Mask or anonymize personal data in logs to protect individual privacy. - **Pseudonymi
  21. ctx:claims/beam/e1010ad9-a218-42a9-aae0-e247755a66dd
  22. ctx:claims/beam/a32f0e29-1ce4-4405-ae91-59a6ca3ad913
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      [Turn 9611] Assistant: Certainly! Let's review your code and provide some feedback on how to improve it to ensure 100% GDPR compliance. Your current approach uses SHA-256 for "encryption" and HMAC for signature verification. However, there
  23. ctx:claims/beam/0e003730-9551-467d-ae26-5d3e0eca9074
  24. ctx:claims/beam/c6bd62d0-17bc-4fae-b7b8-6266d7b2503b
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      [Turn 10355] Assistant: To ensure your compliance auditing process meets GDPR standards, you need to go beyond simple hashing functions and implement a comprehensive set of security measures. Here are some best practices and additional meas
  25. ctx:claims/beam/98e6ebd2-f6dd-4230-9a43-ab660e9f994b
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      1. **Strong Encryption**: Use strong encryption algorithms like AES-256 for data at rest and TLS for data in transit. 2. **Role-Based Access Controls (RBAC)**: Implement RBAC to ensure that only authorized personnel have access to personal
  26. ctx:claims/beam/41a967cd-e4bc-4b39-a94e-9f6a781e9955
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      ### 5. Retain Backups According to Policy Ensure that backups are retained according to your retention policy. This may involve rotating backups to maintain a certain number of historical copies. ### 6. Secure Backups Secure backups to pro

See also

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