At BSS Datalab, all BSS students can get help working with the data used in their courses. Whether you’re working with financial data, interviews, API calls, or something entirely different, we’re here to assist you.
Get help with building datasets, using Excel, NVivo, R, Python, and other tools. We can help you extract, clean, and organize your data, as well as guide you in using different analytical tools for further work.
You can make use of BSS Datalab by signing up for a course or by attending one of our open workshops.
If you need more specific help with a data-related problem, you can also book an appointment with a staff member who can help you move forward.
Below you’ll find a short description of some of the programs and tools you can get help with.
If you have questions about other programs, tools, or methods, please contact the relevant staff member listed as your contact person.
Excel is Microsoft’s well-known spreadsheet program, where data are organized in rows and columns.
It provides a clear overview of your data, and its many built-in functions help you process, analyze, and visualize information effectively.
Python is a versatile programming language that can be used for collecting, cleaning, analyzing, and visualizing data.
Its command-based approach scales well, making Python an excellent choice for larger datasets where more traditional, visual tools fall short.
Python has a simple and readable syntax, which makes it relatively easy to get started.
R is a statistical programming language offering a wide range of applications and the ability to extend functionality with numerous external packages.
You can use R for independent data analysis, but it’s often advantageous to work with it through RStudio, an integrated development environment that provides a clear overview of your data, variables, visualizations, and files.
Whisper and Transcriber are digital tools you can use for automatic transcription of audio files, based on a Large Language Model developed by OpenAI.
You can access Whisper and Transcriber through UCloud, which provides access to DeiC Interactive HPC for researchers and students. This ensures that both computing power and data security meet your needs.
You can get help with Whisper and Transcriber at BSS Datalab. For a quick introduction, follow these guides:
BSS Datalab was established as a collaboration between AU Library and Camilla Kølsen Pedersen, Strategic Project Lead for Students’ Digital Competencies at BSS.
As a student, you’ll meet AU Library staff at BSS Datalab who each bring expertise in specific programs and tools.
The purpose of BSS Datalab is to strengthen students’ data skills and digital literacy while fostering a social and collaborative environment for learning.
BSS Datalab serves as a supplement to primary teaching, offering resources for data management, analysis, and digital tools. Teachers can integrate the lab into their teaching, refer students to open activities and courses, or collaborate with staff to align lab offerings with specific course needs.