ENETS Database
Research is central to ENETS’ mission. Through its network of Centers of Excellence, ENETS brings together leading expertise in gastroenteropancreatic (GEP), thoracic, head and neck, and urogenital NENs.
The ENETS European NET Database provides a structured, multi-centre platform for the retrospective and prospective collection of high-quality clinical data. It enables collaborative research across Europe, supports investigator-initiated studies, and helps referral centres to strengthen and systematise their own research activities.
Designed as an innovative study model for rare diseases, the Database facilitates harmonised data capture, cross-centre analyses, and the generation of robust real-world evidence in NEN.
Project Vision and Aims
The ENETS European NET Database (ENETS DB) is an academic, evolving research platform designed to advance collaborative clinical research in neuroendocrine neoplasms.
Developed in cooperation with the Coordinating Center for Clinical Trials at the Philipps-University of Marburg (KKS), the Database is built to ensure high data quality, integrity and regulatory compliance. Its structure balances comprehensive longitudinal patient characterisation with applicable data protection and governance requirements.
The ENETS DB serves both the Society and its participating centres. It enables collaborative research initiatives across Europe and beyond, while supporting individual NEN referral centres in structuring, analysing and strengthening their own clinical research activities.
The ENETS Database aims to:
- Collect harmonised core clinical data on patients with NENs across participating centres
- Provide a robust foundation for ENETS-led clinical research, particularly where sufficient patient numbers cannot be achieved within a single centre
- Facilitate multi-centre studies addressing clinically relevant research questions
- Support the identification of patients potentially eligible for prospective ENETS trials
- Stimulate structured collaboration among ENETS Centers of Excellence (CoEs)
- Enable participating centres to evaluate and benchmark their own data through integrated reporting tools
The ENETS DB provides a structured framework for both retrospective and prospective data collection and represents an innovative research model for rare diseases within an academic, collaborative setting.
Five Key Principles of the New Database Concept:
