The field of Digital Humanities is moving towards increased collaboration and data sharing between memory institutions and other stakeholders. This is driven by the need for more effective management and analysis of cultural heritage materials, as well as the potential for open data systems to support knowledge infrastructures. Recent work has focused on developing innovative methods for sentiment analysis and semantic data management, enabling more nuanced understanding and representation of complex cultural heritage data. Noteworthy papers include:

• A study on the use of Wikidata by information professionals in memory institutions, highlighting opportunities for collaboration and data work.
• A novel continuous sentiment scoring method for literary and multilingual contexts, enabling more accurate analysis and sentiment arc modeling in literature.
• A case study on the use of HERITRACE, a semantic data editor, in Classical Philology, demonstrating its capabilities in managing complex semantic data.