What is a Data Space?
Data spaces represent the future of digital collaboration in Europe. They are intelligent ecosystems where organizations voluntarily share data within an environment of sovereignty, trust, and security.
Data spaces represent the future of digital collaboration in Europe. They are intelligent ecosystems where organizations voluntarily share data within an environment of sovereignty, trust, and security.
Facilitates the fluid and secure exchange of data between diverse platforms and organizations, driving collaboration and efficiency in the European digital ecosystem.
Establishes a robust and transparent framework for data use and access, guaranteeing sovereignty, trust, and compliance with European regulations in every interaction.
Transforms shared data into strategic information and economic value, enabling informed decision-making, innovation, and the creation of new products and services.
Alliances with leading technology centers, AI and Big Data platforms, European regulatory bodies, and standardization organizations to ensure technical excellence and regulatory compliance.
Exposome and One Health as value catalysts
Encompasses non-genetic factors—social, environmental, economic, and lifestyle habits—that influence health throughout life. It is key to advancing precision and preventive medicine.
Recognizes the connection between human, animal, and environmental health. It promotes a collaborative approach to address global challenges such as climate change and zoonotic pandemics.
The synergy between both approaches allows us to move from a reactive model, focused on treating disease, to a predictive and preventive one, based on identifying risks and evaluating interventions before the problem appears.
HYPATHIA integrates a harmonized population catalog that contextualizes real-world evidence (RWE) with social determinants. Our One Health approach provides a comprehensive context for pharmacoeconomic and predictive medicine studies, including:
Information on income levels, education, employment, and other key factors for exposome contextualization.
Prevalence of pathologies, primary care records, pharmaceutical consumption data, and hospital data.
Information on expenditure by Autonomous Community and drug costs to perform cost-effectiveness analyses.
Information on diet, habits, and environmental pollutants.
Generation of robust territorial evidence to optimize price negotiations and reimbursement processes with public administrations and insurers.
Development of advanced predictive models to identify at-risk populations before clinical manifestation, reducing costs and improving outcomes.
More effective and efficient therapies by integrating social, genetic, and environmental determinants into clinical decision-making.
Advanced modeling of care demand and human resource management to maximize efficiency in primary and specialized care.
The KIT program facilitates effective incorporation into eligible data spaces, offering financial and technical support to accelerate your digital transformation in the healthcare sector.
Up to €15,000
Entities with economic activity
Up to €25,000
Public Administrations
Up to €30,000
Entities with economic activity
Up to €50,000
Public Administrations
Non-competitive funding (by order of application until funds are exhausted). Expected window 14-2025/11-2026
Incorporation into the Space
Registration and adherence to the selected data space based on your strategic objectives and specific use cases.
Application to Red.es
Submission of forms with a technical report and evidence of effective incorporation into the selected space.
CRED/DG Certification
Validation by the General Data Directorate for correct incorporation and compliance with requirements.
Immediate Payment
Direct disbursement after the favorable grant, without prolonged administrative waits.
Required documentation: Official form, technical report, evidence of registration/publication, and responsible declarations.