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Monday, August 5 • 10:00am - 12:00pm
AM05 - FAIR Data in the Scholarly Communications Life Cycle

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Course Syllabus

Description: 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. Through hands-on exercises, group discussions and presentations, 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 begin with an overview of the FAIR Data Principles and the drivers behind their development by a broad community of international stakeholders. Over four half-day sessions, 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. There will be opportunities for participants to learn from each other and to develop skills in data management and expertise in making data FAIR.

By the end of the course, participants will be able to:
    
  • Articulate drivers, barriers, and challenges for enabling FAIR data.
  • Understand how FAIR data fits into the scholarly communications life cycle.
  • Refer to hands-on experience with techniques and tools for making data FAI
  • Identify best-practice examples of FAIR data.    
 
Intended Audience: The course is aimed at individuals working with or expecting to work with data as researchers, publishers, librarians, or in research support, especially those seeking to develop their skills in managing FAIR data in practice and to understand the tools that can support them in doing this.

Requirements: There are no special requirements for the course.

Instructors and Keynote Speake...
avatar for Natasha Simons

Natasha Simons

Associate Director, Skilled Workforce, Australian Research Data Commons


Monday August 5, 2019 10:00am - 12:00pm PDT
Carnesale - Palisades Ballroom D