RDM addresses the lifecycle of your research output including its creation, organization, accessibility, archiving and distribution. Proper data management helps maintain scientific rigor and research integrity. When discussing research data management, “data” will include any recorded factual material, such as data, images, and samples, that is collected or created to support and validate research findings.
Below is a detailed example of research data lifecycle elements. This image was adopted from Harvard's Longwood Research Data Management guide and more closely reflects the lifecycle of biomedical data. Click on the image to see more information on this process and to find a data lifecycle checklist. The link at the bottom of this box will lead you to another widely used example of the research data lifecycle.
Research Data Lifecycle by LMA Research Data Management Working Group is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.