Top

Published in:

2022 | OriginalPaper | Chapter

A Research-Teaching Guide for Visual Data Analysis in Digital Humanities

Author : Stefan Jänicke

Published in: Computer Vision, Imaging and Computer Graphics Theory and Applications

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

The use of visualization to underpin distant reading arguments on cultural heritage data has established in the digital humanities domain. Novel strategies to represent data visually typically arise from interdisciplinary projects involving humanities and visualization scholars. However, the quality of outcomes might be inhibited as typical challenges of interdisciplinary research arise, and, at the same time, problem solving strategies are missing. I taught a course on visual data analysis in the digital humanities to let students with diverse study backgrounds experience those challenges in their early academic careers. This paper illustrates the research-teaching components of my course. This includes the contents of the theoretical training with active learning tasks, aspects of the practical training and considerations for teachers aiming to compose a related course.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

previous chapter Visual Analysis of Linked Musicological Data with the musiXplora

next chapter Coherent Topological Landscapes for Simulation Ensembles

Aigner, W., Miksch, S., Schumann, H., Tominski, C.: Visualization of Time-Oriented Data, 1st edn. Springer, Heidelberg (2011). https://doi.org/10.1007/978-0-85729-079-3CrossRef

Bach, B., Dragicevic, P., Archambault, D., Hurter, C., Carpendale, S.: A descriptive framework for temporal data visualizations based on generalized space-time cubes. Comput. Graph. Forum 36(6), 36–61 (2015)CrossRef

Baker, F.W.: Close Reading and What It Means for Media Literacy (2014). https://www.middleweb.com/15929/close-reading-and-media-literacy/

Barker, E., Pelling, C., Bouzarovski, S., Isaksen, L.: Mapping the world of an ancient Greek Historian: the HESTIA project. In: Proceedings of the Digital Humanities 2010 (2010)

Bastian, M., Heymann, S., Jacomy, M., et al.: Gephi: an open source software for exploring and manipulating networks. In: ICWSM, vol. 8, pp. 361–362 (2009)

Bezerianos, A., Dragicevic, P., Fekete, J., Bae, J., Watson, B.: GeneaQuilts: a system for exploring large genealogies. IEEE Trans. Vis. Comput. Graph. 16(6), 1073–1081 (2010)CrossRef

Binkis, S.: Reading Visual Images: The First World War (2020). https://dcc.newberry.org/teachers/x5lljd50

Börner, K., Eide, O., Mchedlidze, T., Rehbein, M., Scheuermann, G.: Network visualization in the humanities (Dagstuhl Seminar 18482). Dagstuhl Rep. 8(11), 139–153 (2019). https://doi.org/10.4230/DagRep.8.11.139. http://drops.dagstuhl.de/opus/volltexte/2019/10359

Bostock, M., Ogievetsky, V., Heer, J.: D data-driven documents. IEEE Trans. Vis. Comput. Graph. 17(12), 2301–2309 (2011)CrossRef

10.

Burke, B.: A Close Look at Close Reading: Scaffolding Students with Complex Texts (2012)

11.

Busa, R.: The Annals of Humanities Computing: The Index Thomisticus. Raccolta delle opere di Roberto Busa, North Holland Publishing Company (1980). https://books.google.dk/books?id=Ph29oAEACAAJ

12.

Cao, N., Cui, W.: Introduction to Text Visualization. Atlantis Briefs in Artificial Intelligence. Atlantis Press, Paris (2016). https://cds.cern.ch/record/2230485

13.

Cheema, M.F., Jänicke, S., Scheuermann, G.: AnnotateVis: combining traditional close reading with visual text analysis. In: Workshop on Visualization for the Digital Humanities, IEEE VIS 2016, Baltimore, Maryland, USA (2016)

14.

Cleveland, W.S., McGill, R.: The many faces of a scatterplot. J. Am. Stat. Assoc. 79(388), 807–822 (1984)MathSciNetCrossRef

15.

Collins, C., Viegas, F.B., Wattenberg, M.: Parallel tag clouds to explore and analyze faceted text corpora. In: 2009 IEEE Symposium on Visual Analytics Science and Technology, pp. 91–98, October 2009. https://doi.org/10.1109/VAST.2009.5333443

16.

Eder, M.: Stylometry, network analysis, and Latin literature. In: Proceedings of the Digital Humanities 2014 (2014)

17.

Healey, M.: Linking research and teaching exploring disciplinary spaces and the role of inquiry-based learning. Reshaping the University: New Relationships between Research, Scholarship and Teaching, pp. 67–78 (2005)

18.

Heyer, G., Isemann, D.: Digital und computational humanities. In: Book of Abstracts zum DHd Workshop Informatik und die Digital Humanities (2014)

19.

Hinrichs, U., Forlini, S., Moynihan, B.: Speculative practices: utilizing infovis to explore untapped literary collections. IEEE Trans. Vis. Comput. Graph. 22(1), 429–438 (2016)CrossRef

20.

Hinrichs, U., Forlini, S., Moynihan, B.: In defense of sandcastles: research thinking through visualization in digital humanities. Digit. Scholarsh. Hum. 34, i80–i99 (2018)

21.

Jänicke, S.: On the impact of the Merseburg incantations. In: Conference Abstracts of the Digital Humanities 2017 (2017)

22.

Jänicke, S., Franzini, G., Cheema, M.F., Scheuermann, G.: Visual text analysis in digital humanities. Comput. Graph. Forum 36(6), 226–250 (2017)CrossRef

23.

Jänicke, S., Wrisley, D.J.: Interactive visual alignment of medieval text versions. In: 2017 IEEE Conference on Visual Analytics Science and Technology (VAST), pp. 127–138, October 2017. https://doi.org/10.1109/VAST.2017.8585505

24.

Jänicke, S.: Valuable research for visualization and digital humanities: a balancing act. In: Workshop on Visualization for the Digital Humanities, IEEE VIS 2016, Baltimore, Maryland, USA (2016)

25.

Jänicke, S.: A visualization course for journalism students. In: IEEE VIS 2019 Workshop on Visualization for Communication (VisComm) (2019)

26.

Jänicke, S., Blumenstein, J., Rücker, M., Zeckzer, D., Scheuermann, G.: TagPies: comparative visualization of textual data. In: Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, pp. 40–51. INSTICC, SciTePress (2018). https://doi.org/10.5220/0006548000400051

27.

Jänicke, S., Focht, J., Scheuermann, G.: Interactive visual profiling of musicians. IEEE Trans. Vis. Comput. Graph. 22(1), 200–209 (2016)CrossRef

28.

Jänicke, S., Franzini, G., Cheema, M.F., Scheuermann, G.: On close and distant reading in digital humanities: a survey and future challenges. In: Borgo, R., Ganovelli, F., Viola, I. (eds.) Eurographics Conference on Visualization (EuroVis) - STARs. The Eurographics Association (2015)

29.

Jänicke, S., Gessner, A.: A distant reading visualization for variant graphs. In: Proceedings of the Digital Humanities 2015 (2015)

30.

Jänicke, S., Geßner, A., Franzini, G., Terras, M., Mahony, S., Scheuermann, G.: TRAViz: a visualization for variant graphs. Digit. Scholarsh. Hum. 30(Suppl. 1), i83–i99 (2015)

31.

Jänicke, S., Scheuermann, G.: On the visualization of hierarchical relations and tree structures with TagSpheres. In: Braz, J., et al. (eds.) VISIGRAPP 2016. CCIS, vol. 693, pp. 199–219. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-64870-5_10CrossRef

32.

Jänicke, S.: Teaching on the intersection of visualization and digital humanities. In: Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, pp. 100–109. INSTICC, SciTePress (2020)

33.

Jänicke, S., Kaur, P., Kuzmicki, P., Schmidt, J.: Participatory visualization design as an approach to minimize the gap between research and application. In: Gillmann, C., Krone, M., Reina, G., Wischgoll, T. (eds.) VisGap - The Gap between Visualization Research and Visualization Software. The Eurographics Association (2020). https://doi.org/10.2312/visgap.20201108

34.

Jockers, M.L.: Macroanalysis: Digital Methods and Literary History, 1st edn. University of Illinois Press, Champaign (2013)CrossRef

35.

Kaufman, M.: ‘Everything on paper will be used against me’: Quantifying Kissinger. In: Proceedings of the Digital Humanities 2015 (2015)

36.

Kehoe, A., Gee, M.: eMargin: a collaborative textual annotation tool. Ariadne (71) (2013)

37.

Kerren, A., Stasko, J.T., Dykes, J.: Teaching information visualization. In: Kerren, A., Stasko, J.T., Fekete, J.-D., North, C. (eds.) Information Visualization. LNCS, vol. 4950, pp. 65–91. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-70956-5_4CrossRef

38.

Khulusi, R., Jänicke, S., Kusnick, J., Focht, J.: An interactive chart of biography. In: 2019 IEEE Pacific Visualization Symposium (PacificVis) (2019)

39.

Khulusi, R., Kusnick, J., Focht, J., Jänicke, S.: musiXplora: visual analysis of a musicological encyclopedia. In: Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, pp. 76–87. INSTICC, SciTePress (2020). https://doi.org/10.5220/0008977100760087

40.

MacEachren, A.M., Kraak, M.J.: Exploratory cartographic visualization: advancing the agenda (1997)

41.

Meinecke, C., Jänicke, S.: Visual analysis of engineer’s biographies and engineering branches. In: LEVIA 2018: Leipzig Symposium on Visualization in Applications (2018)

42.

Mesmer, H.A., Rose-McCully, M.: A closer look at close reading: three under-the-radar skills needed to comprehend sentences. Read. Teach. 71(4), 451–461 (2018). https://doi.org/10.1002/trtr.1639. https://ila.onlinelibrary.wiley.com/doi/abs/10.1002/trtr.1639

43.

Michel, J.B., et al.: Quantitative analysis of culture using millions of digitized books. Science 331(6014), 176–182 (2011)CrossRef

44.

Moretti, F.: Graphs, Maps, Trees: Abstract Models for a Literary History. Verso (2005)

45.

Munzner, T.: A nested model for visualization design and validation. IEEE Trans. Vis. Comput. Graph. 15(6), 921–928 (2009). https://doi.org/10.1109/TVCG.2009.111CrossRef

46.

Munzner, T.: Visualization Analysis and Design. CRC Press, Boca Raton (2014)CrossRef

47.

Propp, V.: Morphology of the Folktale, vol. 9. University of Texas Press (2010)

48.

Reckziegel, M., Cheema, M.F., Scheuermann, G., Jänicke, S.: Predominance tag maps. IEEE Trans. Vis. Comput. Graph. 24(6), 1893–1904 (2018)CrossRef

49.

Rendgen, S.: The Minard System: The Complete Statistical Graphics of Charles-Joseph Minard. Chronicle Books (2018)

50.

Rosenberg, D., Grafton, A.: Cartographies of Time: A History of the Timeline. Princeton Architectural Press (2013)

51.

Rushmeier, H., Dykes, J., Dill, J., Yoon, P.: Revisiting the need for formal education in visualization. IEEE Comput. Graph. Appl. 27(6), 12–16 (2007)CrossRef

52.

Schwerdtfeger, A.: Erkenntnisgewinn in der Wissenschaft (2020)

53.

Shi, L., Wei, F., Liu, S., Tan, L., Lian, X., Zhou, M.: Understanding text corpora with multiple facets. In: 2010 IEEE Symposium on Visual Analytics Science and Technology (VAST), pp. 99–106, October 2010

54.

Shneiderman, B.: The eyes have it: a task by data type taxonomy for information visualizations. In: Proceedings of the Visual Languages, pp. 336–343 (1996)

55.

Slocum, T.A., McMaster, R.B., Kessler, F.C., Howard, H.H.: Thematic Cartography and Geovisualization. Prentice Hall Series in Geographic Information Science, 3rd international edn. Prentice Hall (2009)

56.

Spence, R.: Information Visualization, vol. 1. Springer, Heidelberg (2001)

57.

Tamassia, R.: Handbook of Graph Drawing and Visualization (Discrete Mathematics and Its Applications). Chapman & Hall/CRC (2007)

58.

Tominski, C., Schumann, H.: Interactive Visual Data Analysis. AK Peters Visualization Series, CRC Press (2020). https://doi.org/10.1201/9781315152707. https://ivda-book.de

59.

Viegas, F., Wattenberg, M., Feinberg, J.: Participatory visualization with wordle. IEEE Trans. Vis. Comput. Graph. 15(6), 1137–1144 (2009)CrossRef

60.

Viegas, F., Wattenberg, M., van Ham, F., Kriss, J., McKeon, M.: ManyEyes: a site for visualization at internet scale. IEEE Trans. Vis. Comput. Graph. 13(6), 1121–1128 (2007)CrossRef

61.

Ware, C.: Information Visualization: Perception for Design. Elsevier (2012)

62.

Windhager, F., et al.: Visualization of cultural heritage collection data: state of the art and future challenges. IEEE Trans. Vis. Comput. Graph. 25(6), 2311–2330 (2019)CrossRef

Title: A Research-Teaching Guide for Visual Data Analysis in Digital Humanities
Author: Stefan Jänicke
Publisher: Springer International Publishing
Book: Computer Vision, Imaging and Computer Graphics Theory and Applications
Print ISBN: 978-3-030-94892-4

Electronic ISBN: 978-3-030-94893-1

Copyright Year: 2022
DOI: https://doi.org/10.1007/978-3-030-94893-1_9

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"

Premium Partner