Data Lakes for Digital Humanities
Databases
2020-12-07 v1
Abstract
Traditional data in Digital Humanities projects bear various formats (structured, semi-structured, textual) and need substantial transformations (encoding and tagging, stemming, lemmatization, etc.) to be managed and analyzed. To fully master this process, we propose the use of data lakes as a solution to data siloing and big data variety problems. We describe data lake projects we currently run in close collaboration with researchers in humanities and social sciences and discuss the lessons learned running these projects.
Cite
@article{arxiv.2012.02454,
title = {Data Lakes for Digital Humanities},
author = {Jérôme Darmont and Cécile Favre and Sabine Loudcher and Camille Noûs},
journal= {arXiv preprint arXiv:2012.02454},
year = {2020}
}
Comments
Data and Digital Humanities Track