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Consult our Guide to Writing a Data Management Plan and information on meeting
Funder Data Requirements

What we do

The Research Data Management Service Group (RDMSG) is a collaborative, campus-wide organization that assists with creating and implementing data management plans, applying best practices for managing data, and finding data management services at any stage of the research process.

Service Spotlight

The Data Management Plan Tool (DMPTool) is an online tool for creating, reviewing, and sharing data management plans. Templates for many funding agencies are available, including the NSF, NIH, and others. Cornell University is an institutional partner, allowing you to quickly log in using your Cornell NetID and password and easily get help and guidance from the RDMSG for Cornell-specific services.

See a 90-second animated overview of the DMPTool or, for more general information about data management plans, see our Data Management Planning guide.

Please note: The DMPTool is hosted by the California Digital Library (CDL). All content saved in the tool is held on CDL servers and is subject to their privacy policies.

Recent news

Curious how you might be able to use an Electronic Lab Notebook to better manage your research notes, data, protocols and related documents? Come to an introductory training session to learn about LabArchives, the online electronic lab notebook service available for free for all Cornell faculty, staff and students.

Both sessions will be held in the CIT Classroom at 112 Mann Library:
Wednesday, August 16, 10-11am
Thursday, August 25, 11am - noon

Register at: http://it.cornell.edu/atregister

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The Bioinformatics Practitioners Club and Boyce Thompson Institute are organizing a 1 day Galaxy workshop at Mann library on July 21st. Galaxy is an open source, web-based platform for data intensive biological research. Users without programming experience can easily specify parameters and run tools and workflows. Galaxy captures information so that any user can repeat and understand a complete computational analysis.

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Want to know how to more effectively use spreadsheet programs, Open Refine, R, and SQL? Learn more at the Data Carpentry workshop June 13-14, hosted by the Cornell Statistical Consulting Unit. More information can be found at https://cscu.cornell.edu/workshops/data_carpentry.php.

 

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