Introduction: The FAIR Data Principles (Findable, Accesible, Interoperable, Reusable) aim to make clear the need to improve the infrastructure for reuse of scholarly data. The FAIR Data Principles emphasize the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals, key activities for Digital Humanities research. The post below summarizes how Europeana’s principles (Usable, Mutual, Reliable) align with the FAIR Data ones, enhancing the findability, accessibility, interoperability, and reuse of digitised cultural heritage.
Introduction: This conference report highlights a tool for preservation and research process of oral archives.
Introduction: This post highlights the analysis of illuminated manuscript in art history before and after digital methods and tools.
Introduction: Here is a 2014 conference report on digital paleography and big data of the past, on epigraphic paleography, and on Oriflamms and DigiPal projects.
Introduction: This post outlines retro-digitalisation and academic analysis of paper-based documents.
Introduction: This paper outlines the historical development and methodical challenges of digital visual studies.
Introduction: Here is a new workflow software for digitization.
Introduction: Researchers work on the convergence of Web and e-books.
Introduction: This interview highlights the migration of a database into an archive system.
Introduction: Here is an update on Diktyon numbers, unique IDs for Greek manuscripts, and on databases interactions.