Data models, methods and analyses for the cross-fertilization of knowledge in the Humanities, in Hammemet, Tunisia, from 15 to 17th October 2020.
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?
- Paper Submission: June 7th, 2020
- Notification to authors: June 29, 2020
- Camera-ready papers due : July 16, 2020
- Early registration: August 1, 2020
- Congress: 15, 16 and 17 October 2020, in Hammamet, Tunisia
- Site web: https://ddh20.sciencesconf.org/