This presentation introduces a scaffolded pedagogical guide to teach the practice of discovering, understanding, and evaluating DH tools and techniques that align with research objectives. It is founded on critical digital literacy skills for search processes and the context in which researchers develop new information.

This study examines ethical challenges in open science within Digital Humanities, focusing on balancing transparency, privacy, and compliance with data protection laws. By analyzing two COVID-19-related projects in Brazil and Portugal, it highlights informed consent practices, proposing adaptive governance models and strategies to harmonize openness with individual rights.

This paper presents a case study of web scraping for interdisciplinary research, highlighting both the practical implementation of these methods and strategies for overcoming similar challenges. We position web scraping as a crucial tool for ensuring data is accessible, not as a commodity, but in line with FAIR principles.

Some big emerging questions are about humans conversing ever more with AIs. For instance, how will we be affected? Yet, despite the volume of human/AI conversations, few public archives exist to preserve them. My paper introduces Preserving AI Voices, a public digital humanities project that creates such an archive.