Appendix B — Literature, Tools, Tutorials

B.1 What is digital history?

• Antenhofer, Christina, Kühberger, Christoph, Strohmeyer, Arno (Hrsg.): Digital Humanities in den Geschichtswissenschaften. Wien 2023.

• Brennan, Sheila A.: Digital History, in: The Inclusive Historian’s Handbook, https://inclusivehistorian.com/digital-history/, 04.06.2019.

• Hohls, Rüdiger: Digital Humanities und digitale Geschichtswissenschaften, in: Busse, Laura et al. (ed.): Clio-Guide. Ein Handbuch zu digitalen Ressourcen für die Geschichtswissenschaften, Berlin 2018, pp. A.1-1–B.1-34. Online: https://doi.org/10.18452/19244.

• Romein, C. Annemieke et al.: State of the Field: Digital History, in: History 105 (365), 04.2020, pp. 291—312. Online: https://doi.org/10.1111/1468-229X.12969.

• Winters, Jane: Digital History, in: Tamm, Marek; Burke, Peter (Hg.): Debating New Approaches to History, London 2019, pp. 277–300.

• Art. “Digital history”, in: Wikipedia, 07.09.2022. Online: https://en.wikipedia.org/w/index.php?title=Digital_history&oldid=1220662831, last updated: 25.04.2024.

B.2 Introductions and Guides

• Battershill, Claire; Ross, Shawna: Using Digital Humanities in the Classroom. A Practical Introduction for Teachers, Lecturers, and Students, London et al. 2022.

• Blaney, Jonathan et al..: Doing Digital History. A Beginner’s Guide to Working with Text as Data, Manchester 2021.

• Cohen, Daniel J.; Rosenzweig, Roy: Digital History. A Guide to Gathering, Preserving, and Presenting the Past on the Web, Philadelphia 2006. Online: https://chnm.gmu.edu/digitalhistory/.

• Döring, Karoline et al. (ed.): Digital History. Konzepte, Methoden und Kritiken Digitaler Geschichtswissenschaft, Boston 2022, Online: https://doi.org/10.1515/9783110757101.

• Dougherty, Jack; Nawrotzki, Kristen (Hg.): Writing History in the Digital Age, 2013. Online: https://doi.org/10.3998/dh.12230987.0001.001.

• Graham, Shawn et al.: Exploring Big Historical Data. The Historian’s Macroscope, 2022. Online: https://doi.org/10.1142/12435.

• Lemercier, Claire; Zalc, Claire: Quantitative Methods in the Humanities. An Introduction, Charlottesville 2019.

• Peroni, Silvio: The CTP Book. A book for teaching Computational Thinking and Programming skills to people with a background in the Humanities.

B.3 Digital History Tools (free/open source)

B.3.1 General

• Programming Historian: Tutorials for different tools and methods for historical teaching and research

B.3.2 Data Analysis

• Datasette: interactive tool for data exploration and visualisation

• Heurist: web based research environment for data collection, exploration and visualisation

• Nodegoat: web based research environment for data collection, exploration and visualisation

B.3.3 Maps

• Dariah GeoBrowser: web based tool for the depiction of spatiotemporal data

• QGis: software for creating, processing, depicting and analysing spatial information

• Map in Seconds: web based tool for creating maps (optimised for Chrome)

• Palladio: web based tool for visualising structural data, a.o. geodata

B.3.4 Network Analysis

• Gephi: programme for analysing and visualising graphs and networks

• Nodegoat: web based research environment for data collection, exploration and visualisation, a.o. network analysis

• Palladio: web based tool for visualising structural data, a.o. network analysis

B.3.5 Text/Corpus Analysis

• AntConc: tool kit for corpus analysis

• Lemmatisation: collection of the FID Romanistik

• Natural Language Toolkit, package for Python for Tokenisaton, Lemmatisation etc.: NLTK

• Tokenisation: tutorial by fortext for NLTK

• Voyant-Tools: xollection of tools for text analysis, browser based or standalone

B.3.6 Storytelling

• Omeka: web based platform for the curation of digital exhibitions, for exhibiting and publishing images/objects

• StoryLine JS: tool for creating interactive diagrams

• StoryMap JS: tool for creating interactive maps/images with various elements

• Timeline JS: tool for creating interactive timelines

B.3.7 Visualisation

• Bostock, Michael; Heer, Jeffrey; Ogievetsky, Vadim: A Tour through the Visualization Zoo. A Survey of Powerful Visualization Techniques, from the Obvious to the Obscure, in: Queue 8, No. 5 (2010). Online: https://queue.acm.org/detail.cfm?id=1805128

• Data Visualisation Catalogue: a guide to choosing forms of visualisation

• Datasette: interactive tool for data exploration and visualisation

• FID Romanistik: collection of tools for visualisation

• Palladio: web based tool for visualising structural data

• RAWGraphs: tool for the visualisation of tabular data (.tsv, .csv, .dsv or .json-files)

B.4 Digital Literacy, Digital Criticism

• Ekström, Andreas: The Moral Bias behind your Search Results, TED talk 7.12.2015 (9:18), Online: https://www.youtube.com/watch?v=_vBggxCNNno.

• Gibbs, Frederick W.: New Forms of History: Critiquing Data and Its Representations, in: The American Historian, February 2016. Online: http://tah.oah.org/february-2016/new-forms-of-history-critiquing-data-and-its-representations/.

• Tavani, Herman; Zimmer, Michael: Search Engines and Ethics, in: Edward N. Zalta (Hg.): The Stanford Encyclopedia of Philosophy (Fall 2020 Edition), Online: https://plato.stanford.edu/archives/fall2020/entries/ethics-search/, ch. 3.1.

B.5 Programming Languages & Editors

• Python:
  • Althage, Melanie et al.: Python für Historiker:innen. Ein anwendungsorientierter und interaktiver Einstieg, 20.07.2022, Jupyter Book, (v1.0)
  • Karsdorp, Folgert: Python Programming for the Humanities. Interactive Tutorial and Introduction to Programming with Python for the Humanities.
  • Mattingly, William : PythonHumanities.com. A Free Course for the Digital Humanities.
  • Editor e.g. PyCharm
• R:
  • Mullen, Lincoln A.: Computational Historical Thinking With Applications in R
  • Phillips, Nathaniel D.: YaRrr! The Pirate’s Guide to R.
  • Wickham, Hadley; Grolemund, Garrett: R for Data Science.
  • Editor e.g. RStudio
• Editors: Anaconda; Sublime Text; Visual Studio Code

B.6 Regular Expressions

• Knox, Doug: Understanding Regular Expressions, Programming Historian 2 (2013), https://doi.org/10.46430/phen0033. (self-learning lesson)

• RegexOne: Learn Regular Expressions with simple, interactive exercises. (interactive self-learning tutorial)

B.7 Terminal/Command Line/Shell

• Dawson, Ted: Introduction to the Windows Command Line with PowerShell, Programming Historian 5 (2016), https://doi.org/10.46430/phen0054. (self-learning lesson)

• MIT Computer Science Department: 1-hour-lecture on the Shell (video)

• Milligan, Ian; Baker, James: Introduction to the Bash Command Line, Programming Historian 3 (2014), https://doi.org/10.46430/phen0037 (self-learning lesson)

• datacamp course:Introduction to Shell (interactive self-learning lesson)

• Jeroen Janssens: Data Science at the command line (book)

B.8 XML

• Latex Ninja Blog: A shamelessly short intro to XML for DH beginners (includes TEI) (blog post)