Introduction: The explore! project tests computer stimulation and text mining on autobiographic texts as well as the reusability of the approach in literary studies. To facilitate the application of the proposed method in broader context and to new research questions, the text analysis is performed by means of scientific workflows that allow for the documentation, automation, and modularization of the processing steps. By enabling the reuse of proven workflows, the goal of the project is to enhance the efficiency of data analysis in similar projects and further advance collaboration between computer scientists and digital humanists.
Introduction: In the context of medieval and early Tudor texts scholarship, this paper discusses the methodological use of the database not simply to store information, but to clarify points of tension between the questions asked and the information provided in order to find answers.
Introduction: How do we improve the quality of the fledgling practice of Web archeology, so much needed now that a first decade of Web information threatens to disappear as current interest wanes but contemporaneous cultural value is undisputed. A National Library of the Netherlands scientific report investigates.
Introduction: Now that sources for research increasingly are digital sources, how do we establish the quality of such sources?
Introduction: This paper explores some the new toolchains offered by the Open Web Platform and alternatives to be considered in the daily editing workflows.
Introduction: This software paper describes ‘stylo’ – an R package for stylometric research and text processing.
Introduction: This post highlights digital methods and standards for an efficient analysis of historical data.
Introduction: The post approaches the pre-print publishing model as a science strategy that can benefit especially developing countries, which may face financial difficulties in getting their research published in leading expensive journals.
Introduction: This article discusses the question of minimal sample size in stylometry setting it up as low as 2,000 words in some cases.
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.