pia-data-model

Data model for the Participatory Knowledge Practices in Analogue and Digital Image Archives (PIA) project

https://github.com/participatory-image-archives/pia-data-model

Science Score: 54.0%

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  • CITATION.cff file
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  • codemeta.json file
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  • .zenodo.json file
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    Links to: zenodo.org
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    Low similarity (4.2%) to scientific vocabulary

Keywords

archives cultural-heritage data-modelling database digital-humanities iiif linked-art linked-data metadata rdf schema-org
Last synced: 6 months ago · JSON representation ·

Repository

Data model for the Participatory Knowledge Practices in Analogue and Digital Image Archives (PIA) project

Basic Info
  • Host: GitHub
  • Owner: Participatory-Image-Archives
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 52.6 MB
Statistics
  • Stars: 3
  • Watchers: 3
  • Forks: 1
  • Open Issues: 0
  • Releases: 8
Topics
archives cultural-heritage data-modelling database digital-humanities iiif linked-art linked-data metadata rdf schema-org
Created almost 5 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License Citation

README.md

PIA Data Model

Data model for the Participatory Knowledge Practices in Analogue and Digital Image Archives (PIA) project.

Contents

Description

This repository is structured in the following manner: | Directory | Description | |-----------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| |dsp-migration| Cleaning up the SGV - now EKWS - Metadata according to the SGV ontology on the DaSCH Service Platform(DSP) as well as a way to find all IIIF Image API URLs on DSP. | |ontology| Old (hosted on Salsah) and current (hosted on DSP) SGV ontology as well as the PIA Data Model in Schema.org and Linked Art (work in progress) | |salsah-export| Metadata extracted from https://salsah.org with the help of a repository bearing the same name for the purpose of populating the PIA Database (PostgreSQL). All resource types' metadata from the SGV – now EKWS – have been extracted, except for Images where only two collections relevant to the PIA project are available (SGV10 and SGV12). In most folders can be found two XML files (unresolved and resolved properties) as well as a CSV file. In this directory are also available the Geonames and properties containing JSON files extracted from the Salsah API, a CSV which comprises all ASV places (asv_places.csv - SGV_05) as well as the SGV ontology needed for the database migration (sgv.json). The latter is a duplicate that is necessary for populating the database. The current EKWS ontology can be accessed at https://api.dasch.swiss/ontology/0812/ekws/v2. |

Data Model Diagrams and Flowcharts

We use Miro to create diagrams and flowcharts. Here are some work-in-progress designs that can be viewed:

  • PIA Data Flows and Outputs: https://miro.com/app/board/o9Jl66_DQ=/
  • RDF Data Model: https://miro.com/app/board/o9J_l87sD7U=/
  • PIA ER Diagram: https://miro.com/app/board/o9JlUazRc=/

Licenses and citation

To cite this repository

Demleitner A., Raemy J.A. (2024). PIA Data Model. DOI

Or, alternatively, use the "Cite this repository" function

Owner

  • Name: PIA
  • Login: Participatory-Image-Archives
  • Kind: organization
  • Location: Basel, Switzerland

Participatory Knowledge Practices in Analogue and Digital Image Archives / Partizipative Wissenspraktiken in analogen und digitalen Bildarchiven

Citation (CITATION.cff)

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Demleitner"
  given-names: "Adrian"
  orcid: "https://orcid.org/0000-0001-9918-7300"
- family-names: "Raemy"
  given-names: "Julien Antoine"
  orcid: "https://orcid.org/0000-0002-4711-5759"
title: "PIA Data Model"
version: 0.9
doi: 10.5281/zenodo.5142605
date-released: 2024-03-18
url: "https://github.com/Participatory-Image-Archives/pia-data-model"

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Dependencies

omeka/env/lib/python3.8/site-packages/lxml-4.6.3-py3.8.egg-info/requires.txt pypi
  • BeautifulSoup4 *
  • Cython >=0.29.7
  • cssselect >=0.7
  • html5lib *