Public participation in heritage research has the potential to engage new audiences, to enlist the crowd in analysing and generating data at scale, and to invite new perspectives on our national collections. Key to releasing this potential is effective engagement of diverse audiences, and the development of workflows for the creation and re-use of data within collection discovery platforms, for training automated systems, and to give access to the citizens and researchers. We will identify ways of extending and deepening engagement across communities, proposing a best-practice framework for future citizen research projects with heritage data, informing their design and modelling. Citizen research and automation are two complementary methods for capturing and describing our increasing quantities of analogue, digital and digitised data. We propose articulating the synergies between them by developing workflows for the re-use of data beyond projects' initial focuses to provide current and future scholarship with the potential to address new research questions. Led by three IROs with significant experience of citizen research, Royal Botanic Gardens Edinburgh (RBGE), Royal Museums Greenwich (RMG) and The National Archives (TNA), and the world-leading citizen research expertise of the University of Oxford's Zooniverse with its distinctive free, open source infrastructure, community of 1.9 million volunteers worldwide, and technical expertise of having delivered over 190 crowdsourcing projects, this project is uniquely placed to research and prototype tools for deeper engagement with our collections through citizen research: to create a virtuous circle of increased and better informed public engagement that leads communities to create more collections data at scale. The project will convene expertise from across sectors to expand our citizen research community and to ensure the effective re-use of crowd-sourced data. This will be achieved by addressing the following questions: 1. How can we best engage volunteers across the nation's communities with citizen research projects, to further a shared understanding of our collections? What existing methods and data are the most successful for measuring that engagement? 2. How does the ability to navigate one's own path through the data of a citizen research project affect engagement with the project? 3. How can we verify, assess, present, and value the contributions of citizen research? 4. How can we enable the re-use of crowd-sourced data within collection discovery platforms, for training automated systems, and to give access to citizens and researchers that supports and encourages further engagement, re-use and analysis? 5. Does easy access to data created by citizen research projects affect engagement with projects? What other tools are necessary to enable meaningful access to this data?