The Research Data Lifecycle – how to collect, manage, store, and share your data
Course description
Will you be gathering, processing, or cleaning data during your PhD? Would you like this process to be streamlined and organised from the start? Are you new to data management, or intimidated by the thought of keeping track of your precious research outputs? Good planning from the beginning will save a lot of time, stress and heartache at the end of your analyses and thesis. You will then be prepared for analysing, publishing and sharing data at the end of your PhD.
*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. *
Course facts
P000194, The Research Data Lifecycle – how to collect, manage, store, and share your data, 3.0 Hp
Print syllabus
Syllabus
Level
Third cycle
Subject
Biology
Grading Scale
One-grade scale
The grade requirements within the course grading system are set out in specific criteria. These criteria must be available by the course start at the latest.
Course language
English
Entry Requirements
Objectives
On completion of the course, the student will be able to:
- Describe the Research Data Lifecyle and FAIR data principles
- Evaluate different methods of data collection
- Apply good data management practices to data collection, cleaning and analysis
- Use tools like version control (GitHub) to keep track of files and collaborate to write code
Content
*The course is carried out with lectures, guest lectures, interactive computer labs, and compulsory seminars. *
*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. *
Examination Formats and Requirements for Passing the Course
* Students design and present a research study and associated data management plan.** *
Responsible Department/Equivalent
Department of Wildlife, Fish, & Environmental Studies