Digital Tools and Uses - Congress

The second international Digital Tools & Uses Congress is a multidisciplinary conference devoted to study the uses and development of digital tools. It aims at assembling five interrelated symposia.

When: -
Where: Hammamet - Tunisia


Digital Tools & Uses - 2020   >   Tracks and Subtopics   >   Data and Digital Humanities   >  

Data and Digital Humanities

Track chair :
• Gérald Kembellec (IHA and Cnam, France)

Track chair :
• Gérald Kembellec (IHA and Cnam, France)

Program of the online event

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1st session, October 15, 2020, from 10 a.m. to 12 a.m. (Paris/Amsterdam/Turin time):

  • Introduction, by Gérald Kembellec (Live session)
  • Keynote presentation "Applied humanities in a data-enabled society" (live), by Eveline Wandl-vogt, Austrian Academy of Sciences
  • Q&A. Long paper “Use cases of virtual reality to visualize a database, how useful is VR for archaeology researchers?”, by Bernard Quinio Université Paris Nanterre, France, Nicolas Boulbes, Université de Perpignan, France, Pauline de Pechpeyrou Université Paris Est Créteil Paris, France and Baptiste Kotras, Université Paris Nanterre, France
  • Q&A. Long paper, “Standardizing linguistic data: method and tools for annotating (pre-orthographic) French”, by Simon Gabay, Universities of Neuchâtel and Genève, Switzerland, Thibault Clérice and Jean-Baptiste Camps, École des Chartes, Paris, France, Jean-Baptiste Tanguy, Sorbonne Université, Paris, France and Matthias Gille-Levenson, École normale supérieure de Lyon, France
  • Q&A. Long paper, “CORPUS 17: a philological French corpus for the 17th century”, by Simon Gabay, Universités de Neuchâtel et de Genève, Switzerland, Alexandre Bartz, École des Chartes, Paris, France and Yohann Deguin, Université de Rennes, France.

2nd session, October 15, 2020, from 2 p.m. to 4 p.m. (Paris/Amsterdam/Turin time):

  • Q&A. Short paper, “Long term preservation of TEI Corpora” by Nicolas Larrousse and Michel Jacobson, Huma-Num / CNRS, Paris, France
  • Q&A. Long paper “Creating and questioning research-oriented digital outputs to manuscript metadata: A case-based methodological investigation”, by Diandra M. Cristache, Centre d’Études Supérieures de la Renaissance, Tours, France (transcript available)
  • Q&A. Short paper : “Data Lakes for Digital Humanities”, by Jérôme Darmont, Cécile Favre, Sabine Loudcher and Camille Noûs, Université de Lyon, Bron, France
  • Q&A. Short paper, “Interoperability and discursive process about categories”, by Orélie Desfriches-Doria, Université Paris 8, Saint-Denis, France, Josquin Debaz and Waldir Lisboa Rocha Filho, EHESS, Paris, France
  • Q&A. Short paper, “Towards Big Religious Data : RESILIENCE Research Infrastructure for Data on Religion in the Digital Age”, by Marco Büchler, Institut für Angewandte Informatik, Leipzig, Germany, Sarah Riegert, Westfälische Wilhelms-Universität Münster, Germany, Federico Alpi and Francesca Cadeddu, Fondazione per le scienze religiose, Bologna, Italy.

3rd Session, (in French, video abstract available in english) October 16, 2020, from 2 p.m. to 4 p.m. :

  • Q&A. Short paper, “Du registre au numérique : 100 ans de recherche sur la répression de la sorcellerie autour d’Ac 29”, Gwendolin Ortega, Université de Saint-Gall and Université de Lausanne, Suisse.

    Show video abstract in english

  • Q&A. Long paper, “L’Impact des Humanités Numériques dans la Cohérence d’un entrepôt numérique : une triangulaire entre chercheurs, spécialistes de l’IST et informaticiens” by Frédérique Peguiron-Demoulin, Université de Lorraine, Nancy, France

    Show video abstract in english

  • Conclusion of DDH’20
    • The digital humanities offer a particularly rich research field of studies for data processing, apart from those of the hard sciences and the social sciences. Indeed, the humanities are rarely subject to privacy principles (privacy by design, GDPR…) that affect most social science works and are not just about digital or binary data. Moreover, in DH the data pre-exist and are most often already known if they are not collected and formalized. In this specific context, we propose in this track to question the practices resulting from the constitution of corpus and uses of data in humanities.

      This track is intended to be interdisciplinary to cover various aspects of the humanities that use various models, methods and analyses for the cross-fertilization of knowledge. With regard to the reuse of research-generated data, its implementation is encouraged with developments in open and reproducible science. For example, we propose to analyze links between political and social injunctions to data sharing, the requirements of funding organizations, and the reality of Humanities issues. We also wish to discuss methods of controlling the quality of the data whether they are “captured” (i.e. Drucker’s “capta”) or “produced” as well as the possibility of “linking” them with each other and with authoritative organisms, vocabularies, and description schemes.

      So, what will be the new uses of research data to consider in Humanities? When and how to prepare to share the data produced? Finally, what are the pitfalls to avoid?

      Main topics

      Contributions may address one or more of the following topics

      • Visualization of humanities data for the answer to scientific questions (questions of ethics, graphic semiology ...).
      • Mathematics and humanities (statistics, clustering ...).
      • Natural Language Processing (NLP) and humanities.
      • Emergence of research questions in humanities through digital methods.
      • Cartography and the humanities.
      • Data identified and linked in humanities (LOD).
      • Methodology and modeling in digital humanities: the importance of maieutic (Socratic method).
      • Practices of sharing data from digital humanities.
      • Multidisciplinary point of view dealing with humanities’ data: Methodological and epistemic negotiations.

      Scientific Committee


      • Abiteboul, S., & Dowek, G. (2017). Le temps des algorithmes. Le pommier.
      • Bailey, C. D. (2014). Psychopathy, Academic Accountants’ Attitudes toward Unethical Research Practices, and Publication Success. The Accounting Review, 90(4), 1307‑1332.
      • Bertin, J (1967) Sémiologie Graphique. Les diagrammes, les réseaux, les cartes. With Marc Barbut [et al.]. Paris: Gauthier-Villars. (Translation 1983. Semiology of Graphics by William J. Berg).
      • Borgman, C. L. (2010). The digital future is now: A call to action for the humanities.
      • Busa, R. (1974). Index Thomisticus Sancti Thomae Aquinatis Operum Omnium Indices Et Concordantiae in Quibus Verborum Omnium Et Singulorum Formae Et Lemmata Cum Suis Frequentiis Et Contextibus Variis Modis Referuntur.
      • Busa, R. (1980). The annals of humanities computing: The index thomisticus. Computers and the Humanities, 14(2), 83–90.
      • Cardon, D. (2015). A quoi rêvent les algorithmes. Nos vies à l’heure du Big Data. Paris: Le Seuil.
      • Castets-Renard, C., & Gandon, N. (2016). Open data des données de la recherche publique : entre réformes législatives et retour d’expérience sur un guide pratique à destination des chercheurs. LEGICOM, N° 56(1), 67‑75.
      • Drucker, J. (2011). Humanities approaches to graphical display. Digital Humanities Quarterly, 5(1), 1–21.
      • Gandon, F., Sabou, M., & Sack, H. (2017). Weaving a Web of linked resources. Semantic Web, 8(6), 767-772.
      • Gingras, Y. (2018). Les transformations de la production du savoir : de l’unité de connaissance à l’unité comptable. Zilsel, 4(2), 139‑152.
      • Kaplan, F. (2015). A map for big data research in digital humanities. Frontiers in digital humanities, 2(1).
      • Kembellec, G., & Broudoux, E. (Eds.). (2017). Reading and Writing Knowledge in Scientific Communities: Digital Humanities and Knowledge Construction. John Wiley & Sons.
      • Lemercier, C., & Zalc, C. (2019). Quantitative Methods in the Humanities: An Introduction. University of Virginia Press.
      • McCarty, W. (2016). Collaborative research in the digital humanities. In Collaborative Research in the Digital Humanities (pp. 13-22). Routledge.
      • Molloy, J. C. (2011). The open knowledge foundation: open data means better science. PLoS biology, 9(12), e1001195.
      • Schöch, C. (2013). Big? smart? clean? messy? Data in the humanities. Journal of digital humanities, 2(3), 2-13.

Scientific Committee & Reviewers