Even small research projects can be difficult ot manager efficiently, and even projects on small budgets can generate large amounts of complex data. Managing data to increase openness and reproducibility can add additional levels of complexity. Also most projects involve multiple researchers and are highly collaborative. Here we take a project management and software development approach towards managing your data, that focuses on techniques and tools that will increase your efficiency as both the complexity of your data and the complexity of your projects increases.
- Level:
Beginner
- Duration: 2 hours 20 minutes
Prerequisites
Familiarity with the research enterprise
Willingness to discuss both successes and failure
Learning Objectives
Understand the value of good data and why project management is important
Learn the basic principles of data management
Improve file management
Improve collaborative skills in research projects
Understand how data and project management, reproducibility, and open research are related
Outcomes
Ability to adapt current best practices to your own research
Familiarity with resources and tools available for data management