Quick tips: Press p for presentation; f for full screen

Supporting downloads:




Data Life Cycle stage(s): Analyze

Understanding the types, processes, and frameworks of workflows and analyses is helpful for researchers seeking to understand more about research, how it was created, and what it may be used for. This lesson uses a subset of data analysis types to introduce reproducibility, iterative analysis, documentation, provenance and different types of processes. Described in more detail are the benefits of documenting and establishing informal (conceptual) and formal (executable) workflows.

Tags

 
 
 

Cite this lesson:

DataONE Community Engagement & Outreach Working Group (2017) "Data Analysis and Workflows". Accessed through the Data Management Skillbuilding Hub at https://dataoneorg.github.io/Education/lessons/09_analysis/index on Aug 22, 2019



Home