Description
In this course, you will learn:
- Summarize the research workflow and specify the roles of information professionals at each stage of the data life cycle.
- Understand the value and methods for navigating research culture and collaborating with members of the research ecosystem.
- Identify institutional research data management stakeholders and explain ways for promoting the library's engagement in RDM.
- Develop action plans for launching and managing data services in libraries.
- Create RDM project management strategies and assess their procedures, outcomes, and impact/value.
- Describe the stages involved in data analysis and visualization, as well as how to use tools like R and Tableau effectively.
- Develop your skills in using appropriate RDM programming tools like Python and Jupyter Notebook to satisfy data needs.
- Gain familiarity with a variety of platform tools for data sharing, storage, discovery, reuse, and reproducibility