This guide will provide general information about data management, including
Explore the tabs across the top of this page to learn more.
Record amounts of data are being generated on a daily basis. With constant improvements in technology, higher precision and coverage in data creation, collection, and acquisition and a higher capacity for storage, there is an increased importance in managing, integrating, and re-using data. As more and more publishers and funding agencies require researchers to share their data, developing good data management practices early in you career will make it easier to keep your data organized, meet funder requirements, and prepare data for sharing with others.
Data management addresses the lifecycle of your research output including its creation, organization, accessibility, archiving and distribution. "Data" types can include:
These resources can provide you with more data management information, training, and tools.
This guide has been modified from the 'Data Management for Graduate Researchers' page created by M. Sapp Nelson and L. Zilinkski.