For initial orientation in the research field of computational humanities, cultural and social sciences, the following books are recommended, which deal primarily with the analysis of large data sets.

Text Books:

• Fotis Jannidis, Hubertus Kohle, Malte Rehbein (Hrsg.), Digital Humanities. Eine Einführung (Stuttgart: Metzler, 2017)
• Susan Schreibman, Ray Siemens,John Unsworth (Hrsg.), A New Companion to Digital Humanities (Oxford: Wiley, 2016)
• Kristen Schuster, Stuart Dunn (eds.), Routledge International Handbook of Research Methods in Digital Humanities (Routledge, 2020)
• James O’Sullivan (ed.), The Bloomsbury Handbook to the Digital Humanities (Bloomsbury Handbooks, 2022)
• Anne Schwan, Tara Thomson (eds.), The Palgrave Handbook of Digital and Public Humanities (Palgrave, 2022)
• Julia Flanders, Fotis Jannidis (eds.), The Shape of Data in the Digital Humanities: Modeling Texts and Text-based Resources (Routledge, 2019)
• James E. Dobson, Critical Digital Humanities (Champaign: University of Illinois Press, 2019)
• Richard Gartner, Metadata. Shaping Knowledge from Antiquity to the Semantic Web (Springer, 2016)

Digital Editions:

• Elena Pierazzo, Digital Scholarly Editing: Theories, Models and Methods (Farnham: Routledge, 2015)
• Daniel Apollon, Claire Belisle, Philippe Régnier (eds.), Digital Critical Editions (Urbana, 2017)
• Elena Spadini, Francesca Tomasi & Georg Vogeler (eds.), Graph Data-Models and Semantic Web Technologies in Scholarly Digital Editing (Norderstedt: Books on Demand, 2021):

Text Mining and Distant Reading:

• Toni Bernhart u.a. (Hrsg.), Quantitative Ansätze in den Literatur- und Geisteswissenschaften. Systematische und historische Perspektiven (De Gruyter, 2018)
• Franco Moretti, Falsche Bewegung: Die digitale Wende in den Literatur- und Kulturwissenschaften (Konstanz University Press, 2022)

Distant Viewing:

• Taylor B. Arnold and Lauren Tilton, “Distant Viewing: Analyzing Large Visual Corpora,” Digital Scholarship in the Humanities 34, Issue Supplement_1 (2019), i3-i16:
• Lev Manovich, Cultural Analytics (The MIT Press, 2020)

Network Analysis and Visualisation:

• Florian Kerschbaumer u.a. (Hrsg.), The Power of Networks. Prospects of Historical Network Research (London: Routledge, 2020)
• Johanna Drucker, Visualization and Interpretation. Humanistic Approaches to Display (Cambridge MA: The MIT Press, 2020)

Sociography:

• Larissa Hjorth u.a. (Hrsg.), The Routledge Companion to Digital Ethnography (London, 2017)
• Claudio Cioffi-Revilla, Introduction to Computational Social Science. Principles and Applications, 2nd ed. (Springer, 2017)
• Luke Sloan, Anabel Quan-Haase (Hrsg.), The SAGE Handbook of Social Media Research Methods (London, 2017)