W21 - FAIR Data in the Scholarly Communications Lifecycle Natasha Simons, Chris Erdmann, Daniel Bangert, Fiona Murphy Abstract: This course will focus on FAIR research data management and stewardship practices. It will provide an understanding of FAIR (findable, accessible, interoperable, and reusable) data and how it fits into scholarly communication workflows. Participants will learn about the FAIR Data Principles and how they can be applied in practice. Good data stewardship is the cornerstone of knowledge, discovery, and innovation in research. The FAIR Data Principles address data creators, stewards, software engineers, publishers, and others to promote maximum use of research data. In research libraries, the principles can be used as a framework for fostering and extending research data services. This course will provide an overview of the FAIR Data Principles and the drivers behind their development by a broad community of international stakeholders. We will explore a range of topics related to putting FAIR data into practice, including how and where data can be described, stored, and made discoverable (e.g., data repositories, metadata); methods for identifying and citing data; interoperability of (meta)data; best-practice examples; and tips for enabling data reuse (e.g., data licensing). Along the way, we will get hands-on with data and tools through self-paced exercises. There will be opportunities for participants to learn from each other and to develop skills in data management and expertise in making data FAIR. Audience: Researchers, Librarians, Faculty/Scholars, Publishers, Administrators, Technical Support, Research infrastructure project teams