The UK lacks enough skilled professionals to turn raw data into reliable, reusable research resources. This matters because every AI and data science project depends on the quality of its data. If data is incomplete or faulty, the insights drawn from it are worthless. Currently, students, early-career data scientists, and software developers handle data preparation, but there is no formal career path or standardised training for roles such as Data Wrangler or Data Steward. This project aims to build a national community of data professionals to fill that gap. The team will create online platforms for knowledge sharing, host in-person and online events, and run a Data Champions scheme to engage professionals across sectors. They will develop an open-licensed training curriculum focused on making data research-ready, building on existing courses from The Turing Way and the Research Engineering Group. They will also produce a business case for a new professional society for data professionals, modelled on the Research Software Engineering community. If successful, this work could establish recognised career pathways, improve data quality across UK research, and ensure that the country’s data workforce has the skills needed to support its science and innovation ambitions.
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The UK is a global leader in science and research innovation, and data is at the heart of it. The importance of unlocking the power of data in the UK has been recognised in many government and public sector strategies. All AI and data science challenges are constrained by the data that informs them. If data is incomplete, unreliable, or faulty, then resulting analyses will be too, reducing the value of any insights gleaned. An overall lack of data skills across many sectors amplifies these challenges. The challenges of provisioning research ready data and enabling the sustainable reuse of data are currently tackled by a broad spectrum of professionals including students, early career data scientists and software developers, amongst others. However, there is a growing demand to better define the role of these data experts into formalised technical roles such as Data Wrangler and Data Steward, which encompasses the required training, skills development, and career pathways. We will use our experience in data wrangling and community development in the Turing to establish and promote a community of data professionals across the UK. Through the development of various online platforms for the community, we will encourage members to share knowledge and experience. We propose to host several in person events to foster membership as well as facilitating regular online events and spaces for engagement across the community. We will also run a Data Champions scheme to further engage data professionals from different organisations and domains. We will leverage this community to develop a data literacy and readiness training plan, focused on the skills required to ensure data is research ready. This portfolio of courses will be developed in collaboration with the Skills team at the Turing and build on the successful training already available from the Research Engineering Group and Tools, Practices and Systems Programme including The Turing Way project. The material for all courses will be developed to be used for in person and online training courses and made available openly (open licensed). In addition, the team will encourage further trainers to access the courses to ensure the material can be reused across the community. The instigation of a new professional society for data professionals in data science would provide opportunities for professional development, support building the networks and communities, and represent their community during policy discussions. We will therefore develop a business case to specify the establishment of a society and learn from the experience of the RSE community. This business case will be published for use by other groups who may be working in distinct but related areas.
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