Introduction: This white paper is an outcome of a DH2019 workshop dedicated to foster closer collaboration among technology-oriented DH researchers and developers of tools to support Digital Humanities research. The paper briefly outlines the most pressing issues in their collaboration and addresses topics such as: good practices to ease mutual understanding between scholars and researchers; software development and academic career and recognition; or sustainability and funding.
Introduction: The world of R consists of innumerous packages. Most of them have very little download rates because they are limited to certain functions as part of a larger argument. Based on a surprising experience with the small package clipr Matthew Lincoln shares his thoughts about this reception phenomenon especially in the digital humanities.
Introduction: The Research Software Directory of the Netherlands eScience Institute provides easy access to software, source code and its documentation. More importantly, it makes it easy to cite software, which is highly advisable when using software to derive research results. The Research Software Directory positions itself as a platform that eases scientific referencing and reproducibility of software based research—good peer praxis that is still underdeveloped in the humanities.
Introduction: This lesson by Marten Düring from the “Programming Historian-Website” gently introduces novices to the topic to Network Visualisation of Historical Sources. As a case study it covers not only the general advantages of network visualisation for humanists but also a step-by-step explanation of the process from extraction of the data until the visualization (using the Palladio-tool). This lesson has also been translated into Spanish and includes many useful references for further reading.
Introduction: This blog post not only presents a technique of measuring poetic meter and using it to plot distances between poets, but it also provides an insight into the theoretical and empirical process leading to those results.
Introduction: This very complete tutorial by Patrick Smyth will help digital humanists or any interested person on digital technologies applied to projects how to make data more accessible to users through APIs (Application Programming Interfaces). After explaining the basics about APIs and databases, an API is built and put into practice. Python 3 and the Flask are the web frameworks used for developing this API.
Introduction: Concepts are described differently in different times, and the way people talk about them reveals much about how people perceive these concepts. Researchers of the eScience Center in Amsterdam together with scholars from Utrecht University developed a visual tool to gain insight into such concept shift.
Introduction: This post outlines the benefits of using a statistical software such as R for data analysis and visualization in DH, through the study of a correspondence network.
Introduction: This article reflects on the lessons learnt by the author as he first taught a graduate course in digital analysis of literary texts. He stresses the importance of methodologies over technologies, the need for well-curated, community-created teaching datasets and the implications of the practical, discipline-based organisation of the curricula.
Introduction: This post outlines how a digital tool for data visualization is necessary for historical and biographical research process.