Research Data Management: Home

• Prepping - Understand how to strategically plan ahead for effective data management by writing a data management plan and thinking through ethical data-related questions
  • Writing a Data Management Plan
  • Ethical Considerations
• Implementing - Discover the practical and logistical strategies and decisions you can make to effectively organize, document, and store your data during the course of your research
  • Organizing and Format
  • Metadata and Documenting Your Process
  • Storing and Securing Your Data
• Wrapping Up - Learn about how to manage your data at the end of the research project lifecycle including preparing, sharing, and archiving your data
  • Preparing Your Data for Sharing
  • Publishing and Sharing Your Data
  • Preserving and Archiving Your Data

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.

Try these links for quick solutions to other common data management challenges:

Data Management Planning:

Data Storage, Preservation, & Archiving:

Persistent Identifiers:

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.