A community resource for tracking, comparing, and understanding both current and future U.S. federal funder requirements for sharing research articles and research data.
Organize:
Create a simple, easy to intuit organizational structure for your data, so that you and secondary users can easily locate information later on.
Use a consistent, simple file naming system
Document:
Create and maintain metadata that describes your organizational choices for others
A txt or doc file is most appropriate as they are easily readable on any computer
This tool connects and defines concepts, services, and tools related to data management and discovery. A definition, relevant literature, and web resources accompany each term along with links to related terms.
Store:
Keep your data somewhere safe, both secure and easily located (not on a flash drive in your desk!)
If possible, always keep multiple copies of your data, and remember to update them frequently
Preserve:
Know how long you need to keep your data, and plan accordingly
During the planning process, try to choose file types that are open source and widely supported
Sharing:
There are a number of good online research data repositories you can store and share a copy of your data with; it's collegial and good for reproducibility
Deleting:
Sometimes data must be deleted. Make sure you fully delete yours in compliance with any requirements you're under. Don't just put it in the trash, empty the trash too.
Re3data is a global registry of research data repositories that covers research data repositories from all academic disciplines. Find an appropriate repository starting here.
Research Data Lifecycle by LMA Research Data Management Working Group is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.