Reproducible research is necessary to ensure that scientific work can be trusted. Funders and publishers are beginning to require that publications include access to the underlying data and the analysis code. The goal is to ensure that all results can be independently verified and built upon in future work. This is sometimes easier said than done! Sharing these research outputs means understanding data management, library sciences, software development, and continuous integration techniques: skills that are not widely taught or expected of academic researchers. The Turing Way is a handbook to support students, their supervisors, funders and journal editors in ensuring that reproducible research is "too easy not to do". It includes training material on version control, analysis testing, and open and transparent communication with future users, and includes case studies and common "gotchas" for researchers to avoid. This project is openly developed and any and all questions, comments and recommendations are welcome at our github repository: https://github.com/alan-turing-institute/the-turing-way. In this talk, Kirstie Whitaker, lead developer of The Turing Way, will take you on a whirlwind tour of the chapters that already exist, the interactive demonstrations you can use and re-use for your own research, and the directions in which we're continuing to develop. All participants will leave the talk knowing that "Every Little Helps" when making their work reproducible, where to ask for help as they start or continue their open research journey, and how they can contribute to improve The Turing Way for future readers.