> For the complete documentation index, see [llms.txt](https://docs.rhinofcp.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.rhinofcp.com/datasets/what-is-a-federated-dataset.md). # What is a Federated Dataset? Explains what a Federated Dataset is and its main benefits. ## About Federated Datasets Federated Datasets are part of the Rhino Federated Computing Platform (FCP). They help organizations explore shared data, work with partners, and speed up research. The sections below explain the main benefits of using FCP with Federated Datasets. ### Accelerates Collaborative Research Federated Datasets empowers collaborative research by making it easy to explore distributed data and collaborate across institutions. Whether you are a data strategist seeking to put your data assets to good use or an FCP user looking for additional relevant data to use in your work, Federated Datasets provide a powerful and flexible solution to kickstart and enhance your collaborative research endeavors. ### Facilitates Research Advancement and Data Monetization for Healthcare Institutions Hospitals and healthcare institutions, particularly those focusing on research advancements and looking for additional ways to generate passive income through data, can significantly benefit from Rhino's Federated Datasets. This platform enables key decision-makers like Chief Innovation Officers, Chief Data Officers, CEOs, and Directors of Medical Innovation to strategically share and manage their data assets. By creating and publishing Federated Datasets, your institution can offer selective data assets to external researchers and industry partners. This facilitates collaborative studies and potentially lucrative licensing opportunities. The process is designed to maintain the highest privacy standards, giving you full control over who accesses your data and how it is used. This approach not only fuels scientific discovery but also opens new revenue streams, all while ensuring data privacy and compliance. ### Efficient Data Exploration with Analytics Navigate Federated Datasets effortlessly with keyword search and analytics, empowering users to evaluate the feasibility of integrating datasets into diverse projects. The platform's search and discovery functionalities make it easy to find relevant Federated Datasets, while the dynamic filters accessible under the "Analytics" section serve to easily define your inclusion and exclusion criteria for comprehensive feasibility analysis. Detailed datasheets allow for informed decision-making, providing valuable insights into the composition of each Dataset. ### Learn more For step-by-step instructions on how to explore the available datasets or how to create your own, see [Federated Datasets](/datasets/creating-and-exploring-federated-datasets.md). --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://docs.rhinofcp.com/datasets/what-is-a-federated-dataset.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.