Medical History Collection

data for the glam2017

✨ Demo

Finding connections and pathways between book and object collections of the University Institute for History of Medecine and Public Heatlh (Institute of Humanities in Medicine since 2018) of the CHUV.

The project started off with data sets concerning two collections: book collection and object collection, both held by the University Institute for History of Medicine and Public Health in Lausanne. They were metadata of the book collection, and metadata plus photographs of object collection. These collections are inventoried in two different databases, the first one accessible online for patrons and the other not.

The idea was therefore to find a way to offer a glimpse into the objet collection to a broad audience as well as to highlight the areas of convergence between the two collections and thus to enhance the patrimony held by our institution.

Juxtaposing the library classification and the list of categories used to describe the object collection, we have established a table of concordance. The table allowed us to find corresponding sets of items and to develop a prototype of a tool that allows presenting them conjointly: https://medicalhistorycollection.github.io/glam2017/.

Finally, we've seized the opportunity and uploaded photographs of about 100 objects on Wikimedia: https://commons.wikimedia.org/wiki/Category:Institut_universitaire_d%27histoire_de_la_m%C3%A9decine_et_de_la_sant%C3%A9_publique.

Data

Team

loic.jaouen
Magdalena Czartoryjska Meier
Rae Knowler
Arturo Sanchez
Roxane Fuschetto
Radu Suciu

Swiss Open Cultural Data Hackathon 2017: Medical History Collection

Data and code relating to the Medical History Collection project for #GLAMHack2017.

Our data comes from the University Institute for History of Medicine and Public Health of the CHUV. We have the metadata of the entire book collection, and photographs + metadata of a section of the object collection. We aim to find connections and pathways between the two collections.

scripts

Data-cleaning scripts used to standardise and enhance the original datasets.

data

Cleaned datasets.

Event finish

Add rendered category pages (@bellisk)

Open Cultural Data Hackathon 2017