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NIH has a variety of sharing policies in place for research that it funds. This tool will assist in helping you determine which of the following NIH policies apply to a particular project.

Sharing scientific data accelerates biomedical research discovery, enhances research rigor and reproducibility, provides accessibility to high-value datasets, and promotes data reuse for future research studies. Under the NIH Data Management & Sharing Policy, investigators are empowered to choose the most appropriate methods for sharing scientific data. Learn more about methods for data sharing and selecting data repositories.

Proper data management is crucial for maintaining scientific rigor and research integrity. Learn about best practices for scientific data management.

Find out what data sharing related costs may be requested in an application for funding.

Learn what NIH expects Data Management & Sharing plans to address.

NIH expects applicants to submit a plan for how they will manage and share their data and allows applicants to include certain costs associated with data management and sharing in their budget.

NIH has a longstanding commitment to making the results of NIH-funded funded research available. Responsible data management and sharing has many benefits, including accelerating the pace of biomedical research, enabling validation of research results, and providing accessibility to high-value datasets.

Infórmese sobre cómo un sistema de páncreas artificial puede controlar automáticamente las concentraciones de glucosa en la sangre en personas con diabetes tipo 1.

El hipertiroidismo, o una glándula tiroidea hiperactiva, puede acelerar las funciones del organismo. Obtenga información sobre sus causas, complicaciones, síntomas, diagnóstico y tratamiento.

The Women’s Health Awareness Vaccine Confidence Study aims to understand public opinion, concerns and beliefs about the COVID-19 vaccine and immunizations within the Black community in North Carolina.