Co-producing data-intensive research with an underserved group: a case study and evaluation identifying pathways to...

Area of Science:

• Social Sciences
• Public Health
• Data Science

Background:

• Co-production enhances research quality and relevance by involving experts by experience as equal partners.
• Limited evidence exists on successful co-production methods in data-intensive research, particularly with underserved populations.

Purpose of the Study:

• To report the impact of a co-production approach in a pilot study using linked administrative data.
• To assess the mechanisms of co-production against established principles.
• To determine if co-production in this context requires bespoke guidance.

Main Methods:

• A case study evaluated a co-production pilot involving care-experienced young people and administrative data.
• Data were collected via participatory workshops and semi-structured interviews.
• Deductive thematic analysis and mapping against NIHR principles were used.

Main Results:

• Co-production yielded positive impacts for individuals, research, and organizations.
• Barriers included representativeness and resource constraints, with unique challenges in data-intensive research (e.g., power-sharing vs. data access).
• Enablers were genuine power sharing, valuing diverse knowledge, and partnership working.

Conclusions:

• The case study offers a model for co-production with underserved groups in data-intensive research.
• Successful embedding requires systemic changes: tailored guidance, resources, and flexible funding models.
• Partnerships with voluntary organizations foster inclusive, trauma-informed approaches.