Data Services
Data Services provides consultation, tools, and education and training to support the entire research data lifecycle, including data management planning, finding and accessing data, analyzing data, acquiring or purchasing data for Libraries' collections, and data sharing and preservation for all members of the CU Boulder community.
Contact CRDDS@colorado.edu.
Data Management Planning
- Consultations on writing Data Management Plans for grant proposals as well as general data management planning
- DMP Tool: online tool for creating custom Data Management Plans to meet specific funder requirements
- Data Management Best Practices
- Guide to funding agency data sharing requirements: SPARC
Get Data
- Libraries' guide to finding statistics and data
- Check out ICPSR, re3data.org, and Google Dataset Search (beta) to search for data resources available on the web
- Contact us for help navigating data requests from third parties, licensing, or other data questions
Working with Data
- Center for Research Data and Digital Scholarship (CRDDS) workshops and workshop materials
- Find an OIT computer lab with specific software or information about specific software
- Walk-in consulting with CRDDS and LISA
- For Research Computing, HPC, and other supercomputing needs contact rc-help@colorado.edu
- Partner with us to host a Software or Data Carpentry workshop
- Request a library research seminar
Share and Preserve Your Data
- Use the FAIR Data Principles to ensure that your data is Findable, Accessible, Interoperable, and Re-useable
- CU Scholar can be used to publish your research data
- Digital Object Identifier (DOI) Services: The Libraries are a member of DataCite, the leading global provider for datasets. Through this membership we can register DOIs for data housed in our repositories enabling data to be persistently identified, accessed, and cited. We are also open to working with other CU affiliated unites that need to register their own DOIs as long as their systems adhere to accepted best practices.
- Open Science Framework for Institutions (OSF) is a research collaboration tool that can be used to share and manage data and other project materials