Background: In 2014 The National Institute for Health and Care Excellence (NICE) called for development of a system to collate local data on exercise referral schemes (ERS) to inform future practice. This database would be used to facilitate continued evaluation of ERS. ‘Big data’ analytics is a current trend in healthcare with the potential to influence decision making. Indeed, the use of health databases can spur scientific investigation and generation of evidence regarding healthcare practice. NICEs recommendation has not yet been met by public health bodies. However, through collaboration between ukactive, ReferAll, a specialist in software solutions for exercise referral, and the National Centre for Sport and Exercise Medicine, data has been collated from multiple UK based ERS to generate one of the largest databases of its kind and move towards meeting NICEs recommendation. Method: This paper describes the formation of The National Referral Database, its structure including outcome measures, data cleaning processes, and in two accompanying manuscripts the first initial observational insights are presented from analysis of this data. Results: Collating data from 19 ERSs on 24,086 individuals, a database has been created containing pre and post referral data for metrics including; physical activity, blood pressure, BMI, resting heart rate, SWEMWBS scores, ESES scores, WHO5 scores and ERQoL scores. After data cleaning processes there were 14 ERSs remaining covering 23,782 participants with an average age of 51±15 years and 68% of whom were female. Further, the database contains demographic information, reason for referral, medical conditions, and information on the referrer. Conclusion: This database has now been created and the initial data is available for researchers to interrogate. The National Referral Database represents a potentially valuable resource for the wider research community, as well as policy makers and practitioners in this area, which will facilitate a better understanding of ERS and other physical activity related social prescribing pathways to help inform public health policy and practice. Longer term plans include establishment of the database as an open resource, continually updated with additional data and version controls, for researchers to access for further research and policy makers and practitioners to use to inform their policies/practices.