epds_ez

This project has been realized in the framework of the 90154 - Electronic Publishing and Digital Storytelling course taught by Prof. Marilena Daquino for the 2nd year DHDK Master Degree a.a. 2021-22. It visualizes some characteristics of the Partizione Antica of the Supino photographic Archival fund that has been analysed using both structured meta

https://github.com/enri-ca/epds_ez

Science Score: 26.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
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  • Scientific vocabulary similarity
    Low similarity (5.0%) to scientific vocabulary

Keywords

colab-notebook data-visualization python
Last synced: 6 months ago · JSON representation

Repository

This project has been realized in the framework of the 90154 - Electronic Publishing and Digital Storytelling course taught by Prof. Marilena Daquino for the 2nd year DHDK Master Degree a.a. 2021-22. It visualizes some characteristics of the Partizione Antica of the Supino photographic Archival fund that has been analysed using both structured meta

Basic Info
  • Host: GitHub
  • Owner: enri-ca
  • Language: HTML
  • Default Branch: main
  • Homepage:
  • Size: 80.5 MB
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Topics
colab-notebook data-visualization python
Created over 3 years ago · Last pushed over 2 years ago
Metadata Files
Readme Citation

README.md

Partizione Antica. Looking for a XIXth century art historian

Binder

The project Partizione Antica. Looking for a XIXth century art historian, has been realized for the 90154 - Electronic Publishing and Digital Storytelling course, taught by Prof. Marilena Daquino for the 2st year DHDK Master Degree, a.a. 2021-22.
The project aims to visualizes some characteristics of the Partizione Antica of the Supino photographic Archival fund that has been analysed using both structured metadata and unstructured data from handwritten annotations on the photographs.

The website presenting the project is accessible here.


The project and derivative data are distributed under a CC-BY-SA Creative Commons Attribution-ShareAlike 3.0 License.
- Enrica Zani: data extraction and cleaning, data analysis - content editing, data visualization - web development and digital storytelling

Original images and data are published for illustrative and didactical purposes only.
For any request of use, please refer to:

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  • Login: enri-ca
  • Kind: user

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