Arts Datalab is an initiative under AU Library/The Royal Danish Library. Our purpose is to introduce and guide members of the Faculty of Arts in the use of digital methods. At Arts Datalab, students and staff can receive support and guidance in applying digital methods relevant to their disciplines, including text and data mining.
The Datalab offers, among other things, guidance and teaching activities such as:
Organising events and workshops on digital methods
Offering weekly drop-in consultation sessions
Creating an environment for knowledge sharing on digital skills and tools at Arts
Collaborating with centres and other initiatives at Arts that have engaged in research on digital methods in recent years
Introducing digital methods based on the Royal Danish Library’s collections
To help make digital methods more accessible to students at AU Arts, Arts Datalab offers workshops that you can sign up for and read more about here.
Get a basic introduction to Voyant Tools as a tool, text mining as a method, and why you, as a student, might want to incorporate digital methods into your academic practice. We will walk through Voyant’s interface, and functions, as well as its value as a methodological tool for the literary sciences.
Duration: 3 hours.
NVivo is software developed for qualitative data management and analysis. It is primarily used to organise, analyse, and detect patterns in non-numerical data such as text, audio, video, and images. NVivo provides tools to code and categorise data, carry out text and content analysis, and visualise and present your analytical results.
NVivo enables in-depth analysis of complex data, allowing you to uncover patterns, themes, and connections that may otherwise remain hidden.
Text mining is a method where a computer is used to process large collections of text, providing insights that would never be possible through traditional close reading. With the help of a computer, you can investigate, for example, which words occur most frequently or generate summaries of extensive amounts of text.
In this online workshop, we will work with text mining in the statistical software R. The workshop starts from scratch, so no prior knowledge of text mining or R is required. Of course, you are also welcome if you are already familiar with R but new to text mining.
Duration: 3 hours.
Learn how to teach your computer to read letters and how to search, highlight, and cite PDF files using OCR scanning, also known as Optical Character Recognition.
Duration: 1 hour 30 minutes.
Get started with Transcriber and have your interviews and other audio transcribed in a GDPR-secure environment on UCloud at SDU.
As a student or staff member at AU, you have free access to Transcriber on UCloud, and with just a few steps you can set up one or more transcription tasks simultaneously.
Learn how your skills in knitting can be transformed into learning to code texts through text mining. Get an introduction to coding in R, as well as how to find and analyse sources and texts in digital archives.
Duration: 3 hours.
Get an introduction to SMK Open as a digital collection and learn how to extract data from the collection’s works and artists, which you can then analyse and visualise for your exams and projects.
Duration: 3 hours.
AU Library Arts regularly holds courses for students and offers one-on-one guidance and workshops for employees at AU Arts in data management, FAIR data, and data management plans
Keep an eye on the course calendar for courses aimed at students in Good Data Practice (in both Nobelparken and Emdrup).
Contact information specialist Johanne Rübner Hansen (johr@kb.dk) for researcher inquiries related to data management and data management plans.
Contact information specialist Ida Lunde Jørgensen (idlj@kb.dk) for inquiries related to data management and copyright in Emdrup.
If you, as a student or faculty member, have suggestions for digital methods and tools that Arts Datalab should offer workshops on, you are welcome to send an email to Max Odsbjerg Pedersen at maop@kb.dk or Karoline Liv Vildlyng at kavk@kb.dk. Please describe which digital methods you would like a workshop on.
For research-related inquiries concerning digital methods, we refer you to the Center for Humanities Computing Aarhus. This may be particularly relevant in connection with specific courses, larger assignments, or projects where students could greatly benefit from digital skills, methods, and approaches.
