Good data management practices occur throughout the research process. Even if your project did not require a formal data management plan, thinking about data management during your research will help ensure your data are secure, well-documented, and better prepared for later dissemination and archiving.
Our Recommendations and Best Practices
- Documentation tools such as a general metadata schema. Librarians and metadata specialists have produced a number of useful schema to describe research data and scholarship.
- Training in Data Management The libraries offer training and best practices for managing digital information the right way, such as better filenames and preservation file formats.
Find the Right Campus Tools and Services for Managing Your Data
In addition to the Libraries’ support for data archiving and management, there are other resources across the university available to help with the different stages of the research lifecycle.
- Storage and data protection services: the Office of Information Technology can get you the storage (big or small!) that you need.
- College of Liberal Arts Research Support: Looking for help with survey/experiment design, CLA data management, or data analysis? The CLA research support will consult with you on a variety of data management needs.
- Spatial Data: U-Spatial, a program on campus, offers support in GIS data creation, management, archiving, and sharing.
- Statistical Consulting Center: offers statistics and data science consulting and collaboration available for the entire community, including the members of the University of Minnesota and the business community. Their services range from planning of pilot studies and surveys, grant preparation, methodological help with data science, software development, to data analysis and interpretation.
- Informatics Consulting Services: The University Informatics Institute (UMII) offers analytics services at high-throughput facilities for areas such as metagenomics and mass spectrography.
- CTSI Research Toolkit: For medical researchers, the Clinical and Translational Science Institute provides a suite of services for health and human subjects data.
- High-Performance Computing: The Minnesota Supercomputing Institute is the place to go for big data resources, software, and analysis support.
- Patentable Research Discoveries: Data associated with startups, patents, and/or commercialized research should be discussed with the Office of Technology Commercialization
Do you have a service available to researchers on campus? Interested in networking with other service providers? Join the UMN's informal Community of Practice (CoP) on Research Data Management.