Main content

Home

Menu

Loading wiki pages...

View
Wiki Version:
Excel is an easy to use, readily available tool for data entry, organization, and analysis. However, when used for research, pitfalls such as accidentally overwriting or disassociating data, unclear documentation, and potential for data corruption can lead to wasted time, non-reproducible results, and even retracted articles. In this workshop, we will present tips and strategies for using Excel efficiently and in ways that help ensure data remains intact, accessible, and understandable over the long-term. **This workshop will cover:** * Common pitfalls for using Excel for research, and strategies to avoiding them * Excel commands and features for more efficient and documented research * Tips for preparing Excel data for long-term storage and publication **To be successful, you should:** * Have a basic familiarity with Microsoft Excel * A computer with a current or recent version of Microsoft Excel
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.