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 reproducibility 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 management plans
Organizing your data
Describing your data
Sharing your data
Publishing your datasets
Preserving your data
Purdue University Research Repository
Educating graduate students in data management best practices
GIS assistance
R programming for bioinformatics

For further information, please contact researchdata@purdue.edu or a liaison librarian to your department.

Research Networks

The Purdue Research Data Network is a high-speed network infrastructure designed to facilitate transfer of the large quantities of data produced by and analyzed on Purdue's high-performance computing systems. Based on the Energy Sciences Network (ESNet)'s Science DMZ Model, the research network connects to statewide or national research network infrastructures like iLight and Internet2.

Some facts about the Research Data Network:

100 Gb/second connection to national research networks
160 Gb/second of bandwidth to central Research Data Depot storage
160 Gb/second of bandwidth to each computational system

Labs and instruments with requirements for high-bandwidth connections to research storage or computing resources are eligible to directly peer to the research network. Please contact help to discuss costs and other considerations.

This material is based upon work supported by the National Science Foundation under Grant No. 1827184.