This course will develop an understanding of how data and other research outputs fit into Scholarly Communications workflows. The course will cover best practice in data management and communication and the range of options available for depositions and dissemination, as well as the landscape of policy requirements. State of the art tools and technical infrastructures related to research data will also be discussed.
The course will be loosely based on the 23 (research data) Things program developed by the Australian National Data Service, and will offer a mixture of lecture and practical work. Topics explored will include: drivers for managing research data and related materials, data in the research lifecycle, data management plans, metadata and data discovery, rights, ethics and sensitive data, and data citation and impact.
Over the five half-day sessions participants will be able to choose the level at which they want to engage: ‘getting started’, ‘know more’ or ‘challenge me’. 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 implementing good data practice at their home institutions.
At the end of the course, participants will be able to:
Articulate drivers, barriers and challenges for improved research data management.
Understand relationships between the research data lifecycle and scholarly communications workflows.
Consider how rights and ethics impact on data sharing and refer to strategies for managing sensitive data.
Use basic hands on experience with data and tools to enrich data quality and discovery.
Proposed level: Beginner to intermediate. Participants should have some familiarity with the changing role and importance of research data in Scholarly Communications and an interest in taking their knowledge to the next level.
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 data in practice and to understand the tools that can support them in doing this.
