Events
Data Management
- Events
- Data Management
Practical Considerations for Managing Sensitive Data
Data sharing is becoming an increasingly prevalent and expected part of the research process. Researchers may be hesitant to share datasets about human subjects, and rightfully so. While some data […]
Spring Cleaning for Your Data
Whether you’re motivated by the joy-sparking tidying up of Marie Kondo, or get inspired by a good old-fashioned spring-cleaning spree, now is a great time to clean up your data. […]
Using the DMPTool to write a NIH Data Management and Sharing Plan
A 2-page Data Management Plan (DMP) is now required as part of the new NIH Data Management & Sharing Policy. The Plan will set you up for long-term research success. […]
Introduction to data analysis with R and Bioconductor
This is a 4 session workshop with sessions on: Monday April 3 2:00 PM - 5:00 PM EST Tuesday, April 4 2:00 PM - 5:00 PM EST Monday April 10 […]
Introduction to data analysis with R and Bioconductor
This is a 4 session workshop with sessions on: Monday April 3 2:00 PM - 5:00 PM EST Tuesday, April 4 2:00 PM - 5:00 PM EST Monday April 10 […]
Organize Your Data: Files and Spreadsheets
Data organization refers to classifying and organizing data sets to make them more useful. Once you create, gather, or start manipulating data and files, they can quickly become disorganized. To […]
Ask an Expert: NIH Data Management and Sharing Policy Virtual Office Hours
So, you want to write an NIH grant and need to know more about their new policy on Data Management & Sharing Plans? Drop-in this virtual information session to learn about […]
Introduction to data analysis with R and Bioconductor
This is a 4 session workshop with sessions on: Monday April 3 2:00 PM - 5:00 PM EST Tuesday, April 4 2:00 PM - 5:00 PM EST Monday April 10 […]
Introduction to data analysis with R and Bioconductor
This is a 4 session workshop with sessions on: Monday April 3 2:00 PM - 5:00 PM EST Tuesday, April 4 2:00 PM - 5:00 PM EST Monday April 10 […]
Data Documentation: Writing Better READMEs
To ensure that you understand your own data and to enable others to find, use and properly cite your data, it helps to create README files with ‘documentation’ or ‘metadata’ about […]
Don’t Leave Yet! Research Data Offboarding
When employees leave, they take their skills and institutional knowledge with them. It is important to record essential informative information related to projects and datasets to ensure the success of future […]