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cff-version: 1.2.0
title: Amsterdam Diaries Time Machine - Data
message: >-
  If you use this dataset, please cite it using the metadata
  from this file.
type: dataset
authors:
  - given-names: Leon
    name-particle: van
    family-names: Wissen
    email: l.vanwissen@uva.nl
    affiliation: University of Amsterdam
    orcid: 'https://orcid.org/0000-0001-8672-025X'
  - given-names: Janna
    family-names: Aerts
    email: j.aerts@uva.nl
    affiliation: University of Amsterdam
    orcid: 'https://orcid.org/0000-0002-5184-5738'
  - given-names: Boudewijn
    family-names: Koopmans
    email: i.b.koopmans@uva.nl
    affiliation: University of Amsterdam
    orcid: 'https://orcid.org/0000-0002-4708-071X'
  - given-names: Ingeborg
    family-names: Verheul
    email: i.a.m.verheul@uva.nl
    affiliation: University of Amsterdam
    orcid: 'https://orcid.org/0000-0003-4093-3190'
  - given-names: Marleen
    family-names: Rensen
    orcid: 'https://orcid.org/0000-0002-6541-0022'
    email: m.j.m.rensen@uva.nl
    affiliation: University of Amsterdam
  - name: Amsterdam Time Machine
    email: amsterdamtimemachine@uva.nl
    website: 'https://www.amsterdamtimemachine.nl/'
repository-code: >-
  https://github.com/amsterdamtimemachine/amsterdam-diaries-data
url: 'https://diaries.amsterdamtimemachine.nl/'
abstract: >-
  The Amsterdam Diaries Time Machine project is a public web
  application developed by the Amsterdam Time Machine at the
  University of Amsterdam. The project aims to make the life
  narratives of ordinary people in Amsterdam more accessible
  and to enhance the infrastructure for connecting diverse
  personal histories using open standards. In its first
  phase, the project focused on the diaries of six women who
  lived in Amsterdam during the Second World War.

  By providing access to these enriched personal documents
  and the pipeline that enables further annotation and
  interlinking with other digital heritage resources, we aim
  to inspire other projects and local time machines to adopt
  our approach and contribute to a web of interconnected
  cultural data.

  This dataset includes that data. All metadata associated
  with the diaries, including diary entries, transcriptions,
  and recognized entities, is modeled as Linked Open Data
  (RDF) using the schema.org and Web Annotation
  vocabularies. This structured data is integrated into the
  knowledge graph of the Amsterdam Time Machine, which
  powers the Amsterdam Diaries Time Machine website. The
  site is designed to present our findings to a broader
  audience.
keywords:
  - diaries
  - linked-open-data
  - life-narratives
  - digital-cultural-heritage
license: CC-BY-4.0
version: '1.0'
date-released: '2024-12-12'