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data

vr.tr.data · thing-q42848

Let an agent handle data by type, source, quality, format, licensing and protection, supporting responsible use and privacy.

Thing Registry Information and virtual systems INF.KNW
Bundle → Layer → Finding → QuestionsClassifiersWhat it isWhy it existsDistinguishing featuresWhat robots and AI may and may not doMoral aspectsOwnersLinks to other meta-modelsIdentity and identifiersDirect propertiesRecognitionCapabilities and actionsHazards and failure modesStandards and interfacesContext of useSources

Bundle → Layer → Finding → Questions Filled

4 bundles · 8 layers · 8 findings · 16 questions

Source Where data comes from.

Origin

Collection.

Origin

Data origin.

  1. Who collected the data, when and how? provenance
  2. Is the collection method documented? boundary

Format

Structure.

Format

Format.

  1. What format and schema does the data use? definition
  2. Is metadata provided? boundary
Quality Fitness for use.

Assess

Completeness and accuracy.

Assess

Quality assessment.

  1. How complete, accurate and current is the data? measurement
  2. What biases might it contain? boundary

Cleaning

Preparation.

Cleaning

Data cleaning.

  1. What cleaning steps are needed? action
  2. Are they documented? boundary
Rights Licences and privacy.

Licence

Reuse.

Licence

Licensing.

  1. Under which licence can the data be reused? provenance
  2. How must it be attributed? action

Privacy

Personal data.

Privacy

Personal data.

  1. Does the data include personal data, and on what lawful basis is it processed? boundary
  2. How can people exercise their data rights? action
Use Analysis and sharing.

Analysis

Methods.

Analysis

Analysis.

  1. Which analysis suits this data? action
  2. Are conclusions supported? boundary

Sharing

FAIR principles.

Sharing

Data sharing.

  1. How can the data be shared following FAIR principles? action
  2. Is anonymisation sufficient? boundary

Classifiers Filled

Family
Thing Registry
Category
Information and virtual systems
Entry kind
thing
Plane
INF
Domain
INF.KNW

What it is Filled

Representations of facts, measurements, observations or concepts in a form suitable for storage, processing and communication, such as numbers, text, images and records; personal data is regulated by data protection law.

Why it exists Filled

Let an agent handle data by type, source, quality, format, licensing and protection, supporting responsible use and privacy.

Distinguishing features Filled

  • Recorded facts or observations
  • Structured or unstructured
  • Quality varies
  • Personal data is protected

What robots and AI may and may not do Filled

Must not

  • Collect, combine or share personal data without a lawful basis.
  • Reuse data in breach of its licence.
  • Alter or fabricate data, or hide known errors in it.
  • Re-identify people from anonymized data.

Only with a human decision

  • Deleting or publishing data that others rely on.
  • Sharing personal data with a new recipient.

May

  • Process data it is authorized to use, for the purposes it was collected for.
  • Record the source, licence and quality of the data it uses.

Moral aspects Filled

  • Personal data reveals people's lives; breaches can harm them for years.
  • Poor data leads to unfair decisions about people.

Who is affected

  • Data subjects
  • Users of the data
  • Organisations that hold it

Owners Filled

Steward

The data controller who decides how it is used; data protection authorities supervise personal data.

Links to other meta-models Filled

parent

  • Q11028 - registry parent class

related

  • information - category
  • database - storage
  • statistics - method
  • data protection law - law

What else AI and robots need to interact with it Filled

Identity and identifiers required Filled

  • Vercy registry: vr.tr.data
  • Wikidata: Q42848 (https://www.wikidata.org/wiki/Q42848)

Direct properties not applicable Not applicable

Not applicable

Plane INF: no invented physical properties.

Recognition optional Filled

  • Datasets, tables and records
  • Formats such as CSV and JSON
  • Information is data with meaning
  • Not physical; stored in files, databases and records.

Capabilities and actions required Filled

  • describe data sources and formats
  • assess data quality
  • check licences and reuse rights
  • apply data protection principles

Hazards and failure modes required Filled

  • Privacy breaches
  • Poor quality data leading to wrong decisions
  • Unlicensed reuse

Standards and interfaces required Filled

  • GDPR and other data protection laws
  • FAIR data principles
  • Open data licences

Context of use required Filled

  • Analysis, decision making, research and services.
  • structured data
  • unstructured data
  • personal data
  • open data
  • metadata

Sources Filled

  1. Wikidata item Q42848: data - identity and sense of the item
  2. Wikipedia: Data - general description of the item

Open questions

  • Should data types be separate entries?
  • How should licences be linked?
  • How should metadata standards be linked?

Machine files

Card as JSON Specification Card backlog vercy.card/1

Provenance

thing registry research (pass 2) · unreviewed

Built from: models/things/publications/thing-q42848/spec.json