Data management is the process of validating, organizing, protecting, maintaining, and processing scientific data to ensure the accessibility, reliability, and quality of the data for its users.

Proper data management helps maintain scientific rigor and research integrity. Keeping good track of data and associated documentation lets researchers and collaborators use data consistently and accurately. Carefully storing and documenting data also allows more people to use the data in the future, potentially leading to more discoveries beyond the initial research.

-  the NIH

We encourage researchers to manage their data according to FAIR principles. FAIR stands for:

• Findability
• Accessibility
• Interoperatability
• Reuse

Examples of how to make data FAIR include, but are not limited to: having DOIs, using Creative Commons or other clear and accessible data usage licenses, and using standardized language and organization. Following these principles helps ensure that data will not disappear or be forgotten. You can learn more about how to apply FAIR at the GO FAIR website.