This presentation was part of SRI2021 Session: A Training in Two Parts: An Introduction to Transdisciplinary Research and Accessible Data Management Session Page (registration required to view recording) This session offers attendees a short introduction to transdisciplinary research and FAIR data principles to help spur collaborative, inclusive science with open and accessible outputs. The first hour will provide an overview of transdisciplinary research and resources for deeper engagement while the second hour will address the motivation, benefit, and practical delivery of open science through a series of use cases. To address complex societal challenges, transdisciplinary research (TDR) is increasingly seen as an important approach. This training session offers an introduction to key principles and important steps of TDR. When is TDR promising? What is it aiming for? Why are three types of knowledge important? And what key steps should not be missed when designing a TDR project? These questions will be addressed in the first part of the session. Assuming you want to engage deeper with TDR, the second part offers resources on methods and tools, events, networks, and capacity building opportunities. An important element of our research and findings is the data we create and use. Good data stewardship includes the best practices necessary to manage, track, and share our data for the purpose of transparency and reuse. The Belmont Forum is a leader in advocating and implementing open data policies and principles that align with the FAIR Data Principles. Their work, along with other research communities, actively encourages researchers to adopt good data management practices as part of their daily routine ensuring that all digital outputs are open and available. In this workshop, we will share the value of data management and sharing, the expectations of the Belmont Forum’s Open Data Policies and Principles, as well as a use case from one of Belmont Forum’s CRAs and resources to support your own research. The Belmont Forum Open Data Policy and Principles states that data should be: Discoverable through catalogues and search engines Accessible as open data by default, and made available with minimum time delay Understandable in a way that allows researchers—including those outside the discipline of origin—to use them Manageable and protected from loss for future use in sustainable, trustworthy repositories This policy aligns very well with the FAIR Data Principles that advocate for data to be findable, accessible, interoperable, and reusable.