Data coordination refers to the process of organizing, managing, and integrating data from multiple sources to ensure that the data is accurate, consistent, and accessible to users. This includes activities such as data collection, storage, cleaning, integration, and dissemination. Data coordination is essential in research settings where multiple research teams or organizations are working together on a project, as it helps to ensure that data is effectively shared and utilized across different groups. Effective data coordination can lead to more reliable research outcomes and facilitate collaboration among researchers.