Researchers today operate in an increasingly data-intensive and computational landscape. Enhancing capability across computing, research data management (RDM), and transferable skills is foundational to effective science.
One must start by building strong digital literacy. Practical training in scripting (e.g., Python or R), version control, and reproducible workflows improves efficiency and research integrity.
Equally important is adopting robust RDM practices: clear data management plans, FAIR data principles, and consistent metadata standards ensure research outputs remain findable, accessible, interoperable, and reusable.
Researchers should also invest in transferable skills such as project management, communication, and collaborative working.
Short courses, institutional workshops, and cross-disciplinary projects provide low-barrier ways to upskill.
Finally, seek out communities of practice and peer networks. Continuous, incremental learning that is supported by the right tools and culture, empowers researchers to work more confidently, deliver higher-quality outputs, and maximise the long-term impact of their science.
The PSDI Skills4Scientists guidance materials are designed to enhance researchers' capabilities. Check them out 👉 https://resources.psdi.ac.uk/resource-theme/2ac608e9-ad90-4216-881d-30004331ebf7
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.
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