ddh20 : Data and Digital Humanities 2020 ONLINE
NEWS: Because of the CoViD, the DTU (Digital Tools & Uses) Congress has become virtual and so has the DDH (Data and Digital Humanities) track.
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?
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 the 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.