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Research draft

metadata

vr.tr.metadata · INF.KNW

Let an agent handle metadata by schema, quality, provenance and privacy.

Thing Registry Information and virtual systems

Research draft, second pass

A second pass drafted this model: the structure a model of this thing needs, and what is known about it in the world. The line under this one says how the second half was obtained - researched against sources, or recalled without web access, in which case nothing here was read anywhere and every claim is a lead to verify. Unreviewed either way.

written by Claude from model knowledge without web access - no source was read, every claim is a lead to verify

Researched by: Claude

Purpose and description

Let an agent handle metadata by schema, quality, provenance and privacy.

Data that describes other data or resources, such as titles, authors, dates, formats, identifiers, provenance and rights; examples include library catalogue records, file timestamps and Wikidata items.

What it is for: Finding, understanding, managing and reusing resources.

It can be describe resources with a schema; validate and enrich metadata; track provenance; strip sensitive metadata before sharing.

Distinguishing features

Data about data

Descriptive, structural and administrative

Enables discovery and reuse

Can leak personal information

What it looks like

Fields and values in records, headers and embedded tags.

How it is recognised

Schemas such as Dublin Core or schema.org

Embedded tags such as EXIF

Identifiers such as DOIs

Related models

is a kind of - category

data

describes - object

resource

is structured by - standard

metadata schema

is used in - applications

catalogues and registries

In practice

Families and kinds

descriptive metadata

structural metadata

administrative and rights metadata

provenance metadata

embedded file metadata

Identifiers

DOI digital object identifier resources

schema term URI vocabulary terms fields

Standards and regulation

Dublin Core (ISO 15836)

schema.org

W3C PROV

GDPR for personal data in metadata

Failure modes and hazards

Location leaks in photo metadata

Inconsistent schemas

Stale or wrong metadata

Also called

timestampOpenStreetMap Wiki itemWikidata itemdetermination slipambiguous Wikidata itemWikidata item for a source that does not imply notabilitymade for kidsmap annotationtimecodelibrary metadataclinical trial metadatapage numberarchival descriptionaccessibility metadatacontent credentialsgeospatial metadataparadataMAC timesbibliographic metadataattributionsuperblockWeb Annotation Data ModelNIF 2.0Extremely Annotational RDF Markupnot languagelegal requirements metadatause metadatadescriptive metadatastand-alone metadatastructural metadatatechnical metadataembedded metadataaccess pointadministrative metadatabook imprintspreservation metadataStandard Architecture for Universal Comment Extensionsformatrightsannotation

+43

Where this came from

wikidata · CC0 1.0

Source repository Registry entry point

Drafted structure

Bundle to layer to finding to question, as the second pass will find it: 4 bundles · 8 layers · 8 findings · 16 questions.

Schema Structure.

Schemas enable exchange.

Standard

Vocabulary.

Standard

Schema.

  1. Which metadata schema is used? definition
  2. Which version? provenance

Fields

Elements.

Fields

Fields.

  1. Which fields are required? definition
  2. Are values controlled? definition
Quality Accuracy.

Quality drives usefulness.

Validation

Checks.

Validation

Validation.

  1. Is the metadata valid against the schema? boundary
  2. How complete is it? measurement

Provenance

Origin.

Provenance

Provenance.

  1. Who created the metadata and when? provenance
  2. Has it been changed? provenance
Privacy Leaks.

Metadata can reveal people.

Personal data

Hidden details.

Personal

Personal data.

  1. Does the metadata contain location or personal details? boundary
  2. Should it be removed before sharing? action

Rights

Licences.

Rights

Rights metadata.

  1. What licence does the resource carry? provenance
  2. Is attribution recorded? provenance
Use Discovery.

Metadata enables discovery.

Search

Findability.

Search

Findability.

  1. Does the metadata make the resource findable? boundary
  2. Is it FAIR? boundary

Linking

Identifiers.

Linking

Linked data.

  1. Which persistent identifiers link it to other data? provenance
  2. Do they resolve? boundary

What the second pass must settle

  • Should metadata types be separate entries?
  • How should schemas be linked?
  • Registry aliases list specific metadata records; how should they be linked?
Draft as JSON