What You'll Find in This Guide
- Data Management Plans - Also referred to as DMPs. Learn about the requirements for data management plans for NSF, NIH, and other funding agencies, find templates, and explore other campus resources to help you manage your research data.
- Organization and Format - Understand the various ways you can strategically arrange data and information into a digestible, user-friendly format, and learn why preservation is important for your data. Also learn about metadata and why it is important to your research.
- Sharing and Storage - Discover reasons the experts believe you should share your data, methods for sharing, publication practices, data citation, and the different ways and places you can store your data.
What is Data Management?
What is data management?
This guide is focused on digital research data. We use a modified definition from the DISC-UK DataShare Report (p.16):
"That which is collected, observed, or created, for purposes of analyzing to produce original research results. Research data may be created in tabular, statistical, numeric, geospatial, image, multimedia or other formats."
Data management encompasses the processes surrounding collecting, organizing, describing, sharing, and preserving data.
Why is data management important?
The most effective and efficient data management practices begin at the research planning stage. With early planning for data management you can:
- Save time by having a plan in place for your data from the beginning of your project.
- Comply with legal and funder requirements.
- Increase the visibility and impact of your research by making your data searchable and citable.
- Support open access and foster new research by preserving your data and making it accessible to other researchers.
How do you manage data?
This guide provides resources for the sound management of your research data. Use the tabs to navigate through the pages of this guide.
Quick & Dirty Tools
As a resource to help with those responding to the White House mandate on data sharing (see our blog post), the National Library of Medicine has put together a table of NIH-supported data repositories that accept submissions of appropriate data for reuse. Check it out here.
Try these links for quick solutions to other common data management challenges:
Data Management Resources
There are resources on campus to help UW researchers with various stages of the data management cycle. Also included are resources outside the UW for general guidance on data management that we've found to be the most useful.