Summary and Schedule
This is a new lesson built with The Carpentries Workbench.
| Setup Instructions | Download files required for the lesson | |
| Duration: 00h 00m | 1. Introduction to Data Curation |
What is data curation? Why is data curation important in data science? What are the stages of the data curation lifecycle? How does good curation improve research quality and reproducibility? What are common challenges in managing data? |
| Duration: 01h 15m | 2. Additional Topics |
What happens after data is created? How do institutions manage research data repositories? What is PURR and how does it support data curation? How is large-scale data transferred and preserved globally? What challenges arise when curating very large datasets? |
| Duration: 02h 10m | Finish |
The actual schedule may vary slightly depending on the topics and exercises chosen by the instructor.
FIXME: Setup instructions live in this document. Please specify the tools and the data sets the Learner needs to have installed.
Data Sets
Download the data zip file and unzip it to your Desktop
Software Setup
Details
Setup for different systems can be presented in dropdown menus via a
spoiler tag. They will join to this discussion block, so
you can give a general overview of the software used in this lesson here
and fill out the individual operating systems (and potentially add more,
e.g. online setup) in the solutions blocks.
Use PuTTY
Use Terminal.app
Use Terminal