Dontopedia

Data Inventory and Mapping

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Data Inventory and Mapping is Identify and document all personal data you collect, process, and store..

17 facts·8 predicates·1 sources·5 in dispute

Mostly:covers(5), description(2), sub step(2)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (3)

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.

hasPartHas Part(1)

hasSubStepHas Sub Step(1)

mentionsStepMentions Step(1)

Other facts (16)

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.

16 facts
PredicateValueRef
Coverspersonal data collection[1]
Coverspersonal data processing[1]
Coverspersonal data storage[1]
Coversinternal data flow[1]
Coversexternal data flow[1]
DescriptionIdentify and document all personal data you collect, process, and store.[1]
DescriptionUnderstand the flow of data within your organization and with third parties.[1]
Sub Stepdocument personal data[1]
Sub Steptrack data flow[1]
Contains Bullet PointBullet 1[1]
Contains Bullet PointBullet 2[1]
InvolvesBullet 1[1]
InvolvesBullet 2[1]
Rdf:typeCompliance Step[1]
Step Number1[1]
First Steptrue[1]

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.

typebeam/8a0178b8-2b6d-4d3e-b615-832cebf23e59
ex:ComplianceStep
labelbeam/8a0178b8-2b6d-4d3e-b615-832cebf23e59
Data Inventory and Mapping
stepNumberbeam/8a0178b8-2b6d-4d3e-b615-832cebf23e59
1
descriptionbeam/8a0178b8-2b6d-4d3e-b615-832cebf23e59
Identify and document all personal data you collect, process, and store.
descriptionbeam/8a0178b8-2b6d-4d3e-b615-832cebf23e59
Understand the flow of data within your organization and with third parties.
subStepbeam/8a0178b8-2b6d-4d3e-b615-832cebf23e59
document personal data
subStepbeam/8a0178b8-2b6d-4d3e-b615-832cebf23e59
track data flow
containsBulletPointbeam/8a0178b8-2b6d-4d3e-b615-832cebf23e59
ex:bullet-1
containsBulletPointbeam/8a0178b8-2b6d-4d3e-b615-832cebf23e59
ex:bullet-2
involvesbeam/8a0178b8-2b6d-4d3e-b615-832cebf23e59
ex:bullet-1
involvesbeam/8a0178b8-2b6d-4d3e-b615-832cebf23e59
ex:bullet-2
coversbeam/8a0178b8-2b6d-4d3e-b615-832cebf23e59
personal data collection
coversbeam/8a0178b8-2b6d-4d3e-b615-832cebf23e59
personal data processing
coversbeam/8a0178b8-2b6d-4d3e-b615-832cebf23e59
personal data storage
coversbeam/8a0178b8-2b6d-4d3e-b615-832cebf23e59
internal data flow
coversbeam/8a0178b8-2b6d-4d3e-b615-832cebf23e59
external data flow
firstStepbeam/8a0178b8-2b6d-4d3e-b615-832cebf23e59
true

References (1)

1 references
  1. ctx:claims/beam/8a0178b8-2b6d-4d3e-b615-832cebf23e59
    • full textbeam-chunk
      text/plain1 KBdoc:beam/8a0178b8-2b6d-4d3e-b615-832cebf23e59
      Show excerpt
      - Adjust the number of threads and batch size based on your system's capabilities. By following these steps and using the optimized code example, you should be able to increase the throughput of your indexing system to handle 600 docume

See also

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