Learn about five key practices for good management of your research data. View the slides and the recording below. (April 14, 2022)
This model provides a high-level view of data—from conception through preservation and sharing—to illustrate how data management activities relate to project workflows, and to assist with understanding the expectations of proper data management. In applying this model to research activities, researchers can ensure that data products will be well-described, preserved, accessible, and fit for re-use.
This content is adapted from the The United States Geological Survey Science Data Lifecycle Model Report
The tabs to the left will walk you through the foundational aspects necessary for adopting data management practices, but below are some quick tips. The best practice when starting to practice data management is to have a plan of action and create a habit. If these recommendations seem like too much, try to adopt one new good habit every month.
Grateful acknowledgement to the University of Pennsylvania Penn Libraries for their permission to use and modify their template: Data Management Resources
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