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This three-day training school organised by the CLS INFRA project focused on dynamic collections of literary texts manipulated programmatically. Learners will learn to find, evaluate, and select corpora using tools like CLSCor and DraCor, and gain skills in Python, Jupyter Notebooks, API querying, Linked Open Data, and Digital Literary Network Analysis. The training addresses reproducibility using Docker, promoting transparent, replicable research in Computational Literary Studies.

In this lecture from the Austrian Centre for Digital Humanities and Cultural Heritage (ACDH-CH), Laurent Romary outlines the main issues related to open science in the current scholarly landscape while showing how the Text Encoding Initative (TEI) has been seminal in setting up an open agenda for managing, documenting or disseminating scholarly sources and methods.