Data Preprocessing, Analysis, and a New World of Research Questions

Schema

I have messy data, now what? – Data Preprocessing
Let’s Get to the Analysis
- Basics of Descriptive Statistics
Data Visualization Principles and Exploratory Plots
Most Importantly: What about your Research Questions?

Content Summary

From Mess to Meaning: A Beginner’s Guide to Cleaning and Analyzing Your Data

Slides

Resources

Tools

Selected Bibliography

Karsdorp, Folgert. Python Programming for the Humanities.
https://www.karsdorp.io/python-course/
Karsdorp, Folgert, Mike Kestemont, and Allen Riddell. Humanities Data Analysis: Case Studies with Python. Princeton University Press, 2021.
https://www.humanitiesdataanalysis.org/
Mariani, Fabio, Max Koss, and Lynn Rother. “People Information in Provenance Data: Biographical Entity Linking with Wikidata and ULAN.” Život Umjetnosti 114, no. 1 (2024): 148–161.
https://doi.org/10.31664/zu.2024.114.07
“Creating a Data Cleaning Workflow.” https://cghlewis.com/blog/data_clean_02/

Network Analysis

Schema

A Networked World
What Is a Network
Network Syntax and Ontology
Visualizing Is not Enough: Centrality Measures & Community Detection
Intro to Gephi

Content Summary

An Introduction to Network Analysis: Seeing the World in Connections

How to Use Gephi

Slides

Activity

Download newtork Art Institute of Chicago. Connections are made through objects (if two parties owned the same object they are connected). Attributes: object

Picasso Art Institute of Chicago Provenance Network:

Edges & Nodes

Gephi Lite Version This version can also be uploaded into Gephi (no lite version), you only have to double click and open it with Gephi. You do not need to import nodes and edges, everything will be automatically imported. You can ask for both versions(nodes and edges or GEXF or GraphML files) your selected IA when you prepare the files.

Resources

Tools

Cosmograph
Gephi

Selected Bibliography

Ahnert, Ruth, and Sebastian E. Ahnert. Tudor Networks of Power. Oxford University Press, 2023.
https://doi.org/10.1093/oso/9780198858973.001.0001
Ahnert, Ruth et al. The Network Turn. Cambridge University Press, 2020.
https://doi.org/10.1017/9781108866804
Barabási, Albert-László, et al. Network Science.
http://networksciencebook.com/
Fraiberger, Samuel P., Roberta Sinatra, Markus Resch, Christoph Riedl, and Albert-László Barabási. “Quantifying Reputation and Success in Art.” Science 362, no. 6416 (2018): 825–829.
https://doi.org/10.1126/science.aau7224
Huemer, Christian. “The Provenance of Provenances.” In Collecting & Provenance: A Multidisciplinary Approach, edited by Jane C. Milosch and Nick Pearce. Rowman & Littlefield, 2019.
Lincoln, Matthew D. “Tangled Metaphors: Network Thinking and Network Analysis in the History of Art.” In The Routledge Companion to Digital Humanities and Art History, Routledge, 2020. https://doi-org.proxy1.lib.uwo.ca/10.4324/9780429505188
McNeill, J. R., and William H. McNeill. The Human Web: A Bird’s-Eye View of World History. W. W. Norton, 2003.
Porras, Stephanie. “Keeping Our Eyes Open: Visualizing Networks and Art History.” Artl@s Bulletin 6, no. 3 (2017).
https://docs.lib.purdue.edu/artlas/vol6/iss3/3
Schich, Maximilian, Christian Huemer, Patryk Adamczyk, Lev Manovich, and Yang-Yu Liu. “Network Dimensions in the Getty Provenance Index.” arXiv (2017). https://arxiv.org/abs/1706.02804

© 2025 Coding Provenance Workshop — Licensed under a Creative Commons Attribution 4.0 International License.
Reuse is encouraged — we happily promote changes of custody. Just be sure to write a good provenance record and cite this workshop.