Querying Art History Data on the Web (4): Practical example: Developing research questions with API query and Jupyter Notebook

What is the link between API queries and the museum`s data base?

How can you develop a research question out of this and carry out research including data querying, processing and result generation with the help of Jupyter Notebook?

This video is part of the series Querying Museum Data/ Art History Data on the Web. It was created by Elodie Sacher (University Jena) and PD Dr. Angela Dreßen (Andrew W. Mellon Librarian) as a cooperation of the I TATTI Harvard University Center for Italian Renaissance Studies, the Technische Universität Dresden and the Project Digital4Humanities at the Friedrich-Schiller-Universität Jena.

For further information visit the Digital4Humanities-website:

https://www.gw.uni-jena.de/fakultaet/juniorprofessur-fuer-digital-humanities-bild-objekt/forschung/Digital4Humanities