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 blog post describes how the National Library of Wales makes us of Wikidata for enriching their collections. It especially showcases new features for visualizing items on a map, including a clustering service, the support of polygons and multipolygons. It also shows how polygons like the shapes of buildings can be imported from OpenStreetMap into Wikidata, which is a great example for re-using already existing information.
Introduction: Ecologists are much aided by historical sources of information on human-animal interaction. But how does one cope with the plethora of different descriptions for the same animal in the historic record? A Dutch research group reports on how to aggregate ‘Bunzings’, ‘Ullingen’, and ‘Eierdieven’ (‘Egg-thieves’) into a useful historical ecology knowledge base.
Introduction: This post explains the benefits of using BEACON for data enrichment and increased visibility, on the example of Bibliografie deutsch-jüdische Geschichte Nordrhein-Westfalen.
Introduction: This paper describes a project of applying LOD on the traditional catalog metadata.
Introduction: This post highlights the current and future projects, methods and tools in digital Assyriology.
Introduction: This post highlights digital methods and standards for an efficient analysis of historical data.
Introduction: This article describes the landscape of data repositories and services for archaeologists in Europe, and the issues that make interoperability between them difficult to realise. The results of the ARIADNE surveys on users’ expectations and requirements are also presented. The main section of the article describes the architecture of the e-infrastructure, core services (data registration, discovery and access) and various other services.
Introduction: NeMO is a conceptual framework for DH. It offers a well-founded conceptualization of scholarly work, which can function as schema for a knowledge base containing information on scholarly research activity, including goals, actors, methods, tools and resources involved.
Introduction: This open access article presents the development and the use of a digital tool for linguistic studies.