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Esther Turner

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#small language model Open access Sep 2026

RSEs as trainers – the who, why and how of providing digital research skills training

RSEs often provide training for researchers and dRTPs at their local institution in the digital research skills used in their own work. These courses cover a diverse range of topics, from beginners' language courses, to software architecture and efficiency, to specialised tools and platforms like HPC, AI and domain-specific packages. There are ongoing works to raise awareness of the broad skillset that RSEs and researcher-coders need in order to create good quality, sustainable research software (e.g. DIRECT framework), as well as sharing and evaluating existing training resources. This BoF aims to gather RSEs who are interested or involved in providing training and to take a step back from the day-to-day rush of delivering content for a wider view. In small group discussions, we will tackle topics such as the process of running a training service that meets the needs of your audience throughout their research journey, the lifecycle of an individual course, and how training is valued and supported at different institutions. As RSE and dRTP groups grow, opportunities arise to specialise in certain technologies or domains. We will discuss whether providing training is seen as a general duty of all dRTPs, a specialism taken on by a keen few, or a distinct career path. By sharing the attitudes and models of different institutions, we will consider how we can increase recognition of the value that a well-resourced and supported training service can give to researchers and institutions as well as funders and industrial partners.

Sarah Jaffa, Samantha Jane Ahern, Dimitrios Theodorakis et al. · 0 citations
#small language model Open access Sep 2026

RSEs as trainers – the who, why and how of providing digital research skills training

RSEs often provide training for researchers and dRTPs at their local institution in the digital research skills used in their own work. These courses cover a diverse range of topics, from beginners' language courses, to software architecture and efficiency, to specialised tools and platforms like HPC, AI and domain-specific packages. There are ongoing works to raise awareness of the broad skillset that RSEs and researcher-coders need in order to create good quality, sustainable research software (e.g. DIRECT framework), as well as sharing and evaluating existing training resources. This BoF aims to gather RSEs who are interested or involved in providing training and to take a step back from the day-to-day rush of delivering content for a wider view. In small group discussions, we will tackle topics such as the process of running a training service that meets the needs of your audience throughout their research journey, the lifecycle of an individual course, and how training is valued and supported at different institutions. As RSE and dRTP groups grow, opportunities arise to specialise in certain technologies or domains. We will discuss whether providing training is seen as a general duty of all dRTPs, a specialism taken on by a keen few, or a distinct career path. By sharing the attitudes and models of different institutions, we will consider how we can increase recognition of the value that a well-resourced and supported training service can give to researchers and institutions as well as funders and industrial partners.

Sarah Jaffa, Samantha Jane Ahern, Dimitrios Theodorakis et al. · 0 citations
#artificial intelligence Open access Sep 2026

Experiments in Upskilling Researchers

It is often part of our job as RSEs to train researchers in computational skills, ultimately improving the quality and robustness of research software. However, delivering training effectively and efficiently to a large group of diverse researchers, with different technical skillsets, interests and research areas is definitely a challenge. At the National Oceanography Centre (NOC), we (the Software Engineering and Artificial Intelligence team) have been part of an effort to develop and improve digital skills throughout our organisation. Therefore, over the last two years, we have been delivering frequent training in a wide variety of computational skills, largely (though not exclusively) aimed at NOC researchers. We have run approximately monthly training workshops and code surgeries, curated self-serve material and are starting to offer very short, one topic training sessions. Much of the workshop materials have been based on Carpentries and Carpentries Incubator lessons, though often adapted to have a more oceanographic or geoscience flavour, alongside some bespoke material. We have run training online, in person and in a hybrid fashion. Over the course of this time, we have accumulated a lot of experience in creating and adapting training materials and delivering training in a variety of forms. This talk will discuss the lessons learnt from that experience: what has worked well, what has not, what we plan to try next and what isn’t worth repeating. This work was supported by the Computational Science Centre for Research Communities (CoSeC) Fellowship programme.

Esther Turner · 0 citations

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