FSCI 2022

Matthias Liffers, Kathryn Unsworth 

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 implemented with regard for indigenous data sovereignty under the CARE principles.

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 implementing FAIR principles, 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; and tips for enabling data reuse (e.g., data licensing) with best-practice examples. 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.

The course will conclude with a look at applying the FAIR principles beyond data, such as vocabularies, platforms, software, and training materials.

Audience: Researchers, librarians, faculty/scholars, publishers, administrators, technical support staff, and research infrastructure project teams

LIVE ZOOM SESSION SCHEDULE (All times Pacific UTC-7)
Tuesday, July 26
5-6PM
Wednesday, July 27
5-6PM
Thursday, July 28
5-6PM