Course in how to handle language data according to best practice
Are you planning to start a research project where you or your research group will collect and handle data? Or are you going to guide a student who is about to get started with such a project? In this mini-course, you will get a practical introduction and update on best-practice recommendations for data handling.
Main content
This course is held in Norwegian, but we welcome questions in English.
Background
Good standards, guidelines, databases and data tools have been developed for working with linguistic data. Nevertheless, it is still a challenge to strengthen e-science in the field of linguistics in line with the FAIR principle. The fact that tools and standards exist is not in itself enough to achieve this turnaround.
Learning outcomes
The aim of this course is to help you focus on data handling, from application and planning to the entire project. It will also help you to meet requirements and recommendations from your institution, funders (e.g. EU, NFR) and publishers (e.g. journals).
Content
The course starts with an introduction to general principles for good data handling, and is then divided into thematic blocks according to the various phases of a research project. Each module starts with a short introduction followed by practical exercises and time for questions and discussion. The relevant thematic blocks are:
- About FAIR handling of language data
- Planning
- Collection and search
- Processing and analysis of data
- Archiving/publishing of data
Course instructors
Rune Kyrkjebø (UiB)
Helene N. Andreassen (UiT)
Trond Kvamme (Sikt)
Organizer
The course is organized by partners in the Clarino+ project, among them UiT Norway's Arctic University, the Universities of Bergen and Oslo, as well as the Norwegian Business School NHH and Sikt (formerly the Norwegian Center for Research Data).
