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 save time and prevent errors later on, you and your team should decide how you will structure folders and organize your files. Do you struggle […]

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 the policy and how to successfully meet its expectations at Harvard. Experts from research support services across Harvard will be on hand to provide guidance and answer your […]

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 the datasets you create. This session will explore the critical role documentation plays in data management and how you can ensure good documentation throughout your research.

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 users. This session will review the important steps for offboarding employees/trainees from a lab or project. We will provide an overview of the various elements that […]

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 the policy and how to successfully meet its expectations at Harvard. Experts from research support services across Harvard will be on hand to provide guidance and answer your […]

A 2-page Data Management Plan (DMP) is now required as part of the new NIH Data Management & Sharing Policy. Data management planning is important for funding, but it also […]