What is data management?
Data This guide is focused on digital research data. We use a modified definition from the DISC-UK DataShare Report (p.16):
That which is collected, observed, or created, for purposes of analyzing to produce original research results. Research data may be created in tabular, statistical, numeric, geospatial, image, multimedia or other formats.
Data management encompasses the processes surrounding collecting, organizing, describing, sharing, and preserving data.
Why is data management important?
The most effective and efficient data management practices begin at the research planning stage. With early planning for data management you can:
How do you manage data?
This guide provides resources for the sound management of your research data. Use the tabs to navigate through the pages of this guide.
If you're looking for quick solutions to common data management challenges, try these:
If you have questions about the content, data management planning, the Claremont Colleges Library services or would like to request a consultation with a librarian, please find your subject specialist here.
This research guide uses content from a guide by the University of Washington Research Works Data Services Team.