Active Education & Skills Climate, Earth & Environment

People in Data (Community)

In plain English

AI plain-English summary

The UK is creating a formal professional community for the people who clean, organise, and maintain the data that powers AI and scientific research. This matters because AI and data science are only as good as the data they use. If data is incomplete or unreliable, the resulting analyses are flawed. Currently, the people who prepare data for research—often called data wranglers or stewards—lack formal career pathways, standardised training, and a professional network. This project addresses that gap by establishing a UK-wide community of data professionals. The team will build online platforms for knowledge sharing, host in-person and online events, and run a Data Champions scheme to engage professionals across different organisations. They will develop an open-licensed training curriculum focused on making data research-ready, in collaboration with the Turing’s Skills team. Crucially, they will also produce a business case for a new professional society for data professionals, modelled on the successful Research Software Engineer community. If successful, this could create recognised career structures and a collective voice for data professionals in policy discussions, strengthening the UK’s data infrastructure without the public ever noticing the work happening behind the scenes.

View original technical description
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.

View the original record at the funder ↗

Researchers

Ann-Marie Mallon (Principal Investigator)Emma Karoune (Co-Investigator)

Related Research

Grants with similar aims, by meaning.

Optimizing Data Professional Success: Identifying Skills, Career Trajectories, and Training Requirements for Enhanced Data Service Delivery
Data driven life science skills development - equipping society for the future
EPSRC Centre for Doctoral Training in Data Science
EPSRC Centre for Doctoral Training in Enhancing Human Interactions and Collaborations with Data and Intelligence Driven Systems
An EPSRC National Research Facility to facilitate Data Science in the Physical Sciences: The Physical Sciences Data science Service (PSDS)

Original classification

Research and Innovation

Plain English summaries and category classifications on this site are generated by AI and may not perfectly reflect the original research.