ARS-LIBRI

ILUSTRACIONES, LETRAS CAPITALES Y ORNAMENTOS DEL LIBRO ANTIGUO

Sobre este proyecto

El proyecto ARS-LIBRI . ILUSTRACIONES, LETRAS CAPITALES y ORNAMENTOS DEL LIBRO ANTIGUO, parte de la pregunta: ¿Qué hallazgos pueden surgir de la digitalización, intervención y datificación de una colección de elementos gráficos de libros antiguos?.

Para responder esta pregunta se propone digitalizar e intervenir ilustraciones, letras capitales, frontispicios y viñetas de la colección de libros especiales y antiguos de la Biblioteca General Alfonso Borrero Cabal, S.J. Como parte del ejercicio, se revisan conceptos de humanidades digitales de Johanna Drucker y Anne Burdick, planteamientos de Lev Manovich sobre colecciones digitales, y perspectivas de Karin van Es y Mirko Tobías Schäfer sobre la datificación en la investigación humanística.

Este ejercicio cobra especial relevancia en el contexto actual, en el que la digitalización de textos antiguos enfrenta nuevas amenazas asociadas a la destrucción de libros por parte de las industrias de inteligencia artificial, poniendo en riesgo la preservación y el acceso a este patrimonio.

Créditos

Biblioteca General Alfonso Borrero Cabal, S.J.

Docente: Clementina Grillo Gálvez

Estudiantes: Juliana Alcocer Quessep, Verónica Cantillo Gutierrez, Laura Valentina Carvajal Salcedo, Marian Valentina Castro Casas, María del Pilar de la Cruz Galis, María Salomé Forero Castañeda, María Paula García Molano, Lucía Ochoa Osorio, Francesco Mateo Paredes Montoya, Natalia María Peña Desmoineaux, María Camila Perez Barbosa, Alba Rocío Polo Rubiano, Mariana Rodriguez Delgado, Tomas Rodriguez Moreno, Ana Gabriela Ruiz Gutierrez, Sara Manuela Sabogal Triana, Juan Pablo Silgado Suarez, Paula Silva Hinestrosa, Kal-el Thomas Ureña Gutierrez

Plataforma: Collection Builder

Agradecimientos especiales

Bibliotecaria: Andrea Martinez González

Practicante: Camilo

Welcome to CollectionBuilder-Sheets!

Using the options below you can select demo metadata to explore a pre-built collection, or load your own metadata from the web or your local computer. The configurations are temporarily stored in your browser's session storage, so will remain only until you close this window!

Select one of our example collections

Paste in the full url for a CSV hosted online, such as a published Google Sheet (see below for instructions!)

Select a CSV file from your computer

Metadata Tips

Set up your metadata carefully following the template guidelines. Be especially careful with column names in the first row–they need to exactly match the template, with no spaces and no extra white space at the end of the value. Records without an “objectid” will be skipped.

Note: no information is sent to the server, the metadata and configuration change is only on your computer.

How to Publish Your Google Sheet

In your Google Sheet, ensure that your metadata is the first sheet in the spreadsheet (by default named "Sheet1"). The tabs can be dragged to reorder if necessary.
Click “File”, “Share”, and select “Publish to the Web”.
On the popup modal, use the dropdowns in “Link” tab to select “Entire Document” and “Comma-separated values (.csv)” options, then click “Publish” button.
Copy the link that is provided.
In the "Use Metadata CSV Link" form above, paste the link and click "Submit".

For example, a published link looks like:

https://docs.google.com/spreadsheets/d/e/2PACX-1vSn7AA-cbsXT3_nNUGftc1ab-CKXOJHMQCIENeR9NHElbyI9_qA99o0-HNZdG04v-M2_N21bUe_krQQ/pub?output=csv

How to Download Your Google Sheet as CSV

On your Google Sheet, switch to the sheet tab that contains your metadata (by default "Sheet1").
Click “File”, “Download”, and select as "Comma Separated Values (.csv)”
The file should download to your computer’s Downloads folder
In the "Use Metadata CSV from your Computer" form above, click “Choose file” and navigate in your file explorer to select the downloaded CSV, then click "Submit".

Other Web CSV

If you have a CSV available anywhere on the web, you can use it by referencing the full URL. However, depending on where your CSV is hosted, you may encounter CORS errors.

For example, to use a CSV hosted in a GitHub repository, use the “raw” link:

https://raw.githubusercontent.com/CollectionBuilder/collectionbuilder-sample-data/main/psychiana_cbdemo_gh.csv

Paste the link into the "Use Metadata CSV Link" form above and click Submit.

To share your work with others, the default template can also load web CSV metadata specified as a parameter in the URL. Add your full metadata link to the end of the CB-Sheets instance’s URL as the “csv” option, like:

https://collectionbuilder.github.io/collectionbuilder-sheets/?csv=<your metadata url here>

For example:

https://collectionbuilder.github.io/collectionbuilder-sheets/?csv=https://raw.githubusercontent.com/CollectionBuilder/collectionbuilder-sample-data/main/psychiana_cbdemo_gh.csv

or

https://collectionbuilder.github.io/collectionbuilder-sheets/?csv=https://docs.google.com/spreadsheets/d/e/2PACX-1vSn7AA-cbsXT3_nNUGftc1ab-CKXOJHMQCIENeR9NHElbyI9_qA99o0-HNZdG04v-M2_N21bUe_krQQ/pub?output=csv

Note: the metadata URL can not have any & (i.e. additional query string parameters). Having a & in the URL will cause the parsing to fail.