PSDI Skills4Scientists

Today's researchers must possess skills that extend beyond the specialised knowledge gained through their degrees and professional roles. The Skills4Scientists guidance materials are designed to enhance researchers' capabilities in areas such as computing, research data management, and other transferable research skills, supporting them in all aspects of their work. These resources include interactive learning materials, practical guidance topics, and best practices. Additionally, we are collaborating with the community to continuously grow and improve the guidance offered through PSDI.

Sort by

Guidance

Ethics

This course provides an introduction to the subject of ethics and research integrity. This includes details of the ethical review process, how ethics needs to be applied to data that is used for Machine Learning and Artificial Intelligence. The course also provides guidance on Responsible Research and Innovation.

Literature and Referencing

This course covers the fundamentals of literature and referencing in the physical sciences. Participants will learn to identify various scholarly sources, understand the purposes of citations, and appreciate their importance in the scientific process.This course covers the fundamentals of literature and referencing in the physical sciences. Participants will learn to identify various scholarly sources, understand the purposes of citations, and appreciate their importance in the scientific process.

Python I

This course is designed to teach participants the basics of programming using Python. For new programmers, the course will teach you the fundamentals of programming using Python as an example. Whilst those who are more familiar with programming concepts can use the course to learn Python syntax and its unique features.

Python II

This course builds on the basics of programming covered in the Python I course. For beginners, it expands on the foundational concepts taught in first course. For more experienced programmers, further examples and guidance are added to help you master Python syntax and its unique features.

Research Data Management

This course provides an introduction to Research Data Management. Participants will explore the data lifecycle, identify its various stages, understand the importance of collaborative working environments, and learn how to identify and manage different types of data within their projects.

Version Control and Github

This course is designed to help participants understand the principles of version control and how it can be used effectively in research projects. Participants will explore common version control methods, learn the associated terminology and find out how software like GitHub implements these methods.

What We Provide