View the programme for the upcoming period:
Recording Audio & Video in Research
How do you ensure that audio and video recordings are not only easy to make, but also professional and suitable for use as research data? This course focuses on quality, privacy and data security, so that your audio and video data are FAIR and can be used responsibly for future research and education. The next course will take place on 22 January.
Personal Data in Research
How do you handle personal data carefully before, during and after your research? The Digital Competence Centre introduces the basics of the GDPR and shows you how to apply good privacy practices in all phases of the research process. You will also gain insight into when and from whom you can best seek support, such as data stewards, privacy officers or ethics committees. The next course is scheduled for 27 January.
Radboud Data Repository - Archiving & Publishing
Would you like to know how to archive or publish your research data in the Radboud Data Repository (RDR)? This course provides practical tips and best practices for preparing your data properly, making it visible and keeping it reusable. You will also learn more about access rights, licences and how others can find and use your data. The next course will take place on 12 February.
Workshop Radboud Data Repository
Learn scripting and the command line on Linux and macOS
In this course, you will learn how to work with UNIX-like systems via the command line. The focus is on using the Bash shell, understanding and writing shell scripts, and navigating and working in a text-based environment. This knowledge is essential for programmatic work and for using high-performance computer clusters. The skills covered are also applicable to Windows systems with UNIX-like tools such as WSL, MSYS2 or Cygwin. The next course will take place on 10 February.
Course Scripting & Command line
Learning Python for text-mining and the analysis of natural language
This course introduces text mining: techniques for collecting, processing and analysing text from various sources such as corpora, digital libraries and online forums. The aim is to use digital methods to extract new insights from text. The course ties in with fields such as natural language processing, computational linguistics and digital humanities. In a hands-on approach, students and researchers learn to apply text mining and NLP techniques with Python for various applications.
Other training courses
In addition to the above courses and workshops, the Digital Competence Centre offers more training courses for researchers.