PhD course: The Research Data Lifecycle – how to collect, manage, store, and share your data
Will you be gathering, processing, or cleaning data during your PhD? Good planning from the beginning will save a lot of time and stress at the end of your analyses and thesis. In this course, you will learn best practices for Planning, Collecting, Processing, Analysing, Archiving, and Sharing data
Start date: 8 March 2027 09:00
End date: 21 March 2027 16:00
Language: English
Last day of registration: 1 February 2027
Organiser: Department of Wildlife, Fish, and Environmental Studies
Location: Umeå
The Research Data Lifecycle is an overview of the process of Planning, Collecting, Processing, Analysing, Archiving, and Sharing data. In this course, you will learn best practices for each stage of this process, in line with FAIR data principles. We will discuss general advice on planning field data collection, cleaning data, keeping good metadata (the info about what your data is about), keeping your code tidy, tools like GitHub for version control and collaboration, and how to archive and publish data. These skills will be useful for anyone handling data during their PhD.
The course introduces all aspects of the research process, from question formulation to data collection, processing, analysis, and finally data sharing and archiving. The goal of the course is for students to critically evaluate decisions at all stages of the research process to ensure their studies and data are well designed, replicable, sharable, and well documented.
For more information on the course check out the course syllabus.