Introduction: What are the essential data literacy skills data literacy skills in (Digital) Humanities? How good data management practices can be translated to humanities disciplines and how to engage more and more humanists in such conversations? Ulrike Wuttke’s reflections on the “Vermittlung von Data Literacy in den Geisteswissenschaften“ barcamp at the DHd 2020 conference does not only make us heartfelt nostalgic about scholarly meetings happening face to face but it also gives in-depth and contextualized insights regarding the questions above. The post comes with rich documentation (including links to the barcamp’s metapad, tweets, photos, follow-up posts) and is also serve as a guide for organizers of barcamps in the future.
Introduction: In this blog post, James Harry Morris introduces the method of web scraping. Step by step from the installation of the packages, readers are explained how they can extract relevant data from websites using only the Python programming language and convert it into a plain text file. Each step is presented transparently and comprehensibly, so that this article is a prime example of OpenMethods and gives readers the equipment they need to work with huge amounts of data that would no longer be possible manually.
Introduction: In this post, you can find a thoughtful and encouraging selection and description of reading, writing and organizing tools. It guides you through a whole discovery-magamement-writing-publishing workflow from the creation of annotated bibliographies in Zotero, through a useful Markdown syntax cheat sheet to versioning, storage and backup strategies, and shows how everybody’s research can profit by open digital methods even without sophisticated technological skills. What I particularly like in Tomislav Medak’s approach is that all these tools, practices and tricks are filtered through and tested again his own everyday scholarly routine. It would make perfect sense to create a visualization from this inventory in a similar fashion to these workflows.