Data Management

As science has become more data-intensive and collaborative, research data management is consuming more of researchers' most precious resource: time. In the era of "big data", decisions regarding data are more complex and fraught with larger consequences. See, for instance, the debate about reproductibility in computational science; funding agencies’ mandates to make public data accumulated with taxpayers' dollars; or the challenges of staff turn-over for efficient and effective data management.

Purdue Libraries can help. Here is where the Libraries can help provide effective solutions:

• Collaborations as active participant on grant proposals
• Developing customized data mangement plans
• Organizing your data
• Describing your data
• Sharing your data
• Publishing your datasets
• Preserving your data
• Purdue University Research Repository, http://purr.purdue.edu
• Educating graduate students in data management best practices
• GIS assistance
• R programming for bioinformatics

For further information, please contact: researchdata@lib.purdue.edu or a liaison librarian to your department (https://www.lib.purdue.edu/help/askalib/librarians)