Our Services

We can accelerate your research and assist in navigating data management tools, requirements, and best practices through our no-cost data management consulting, support, and training services


1-on-1 or group consultations
Drop-in office hours
DMP and DMSP feedback for grants
Letters of support for grant applications
Data curation support for archiving in ReDATA



We maintain and support the following platforms


Public workshops
Departmental talks
Guest lectures for grad and undergrad classes
Lab/research group training

To request a guest lecture a custom training, please contact us at least four weeks in advance.


To inquire about our services, please contact us or schedule a consultation directly.
You will get an initial response within two business days.

contact us Schedule a Consultation


Examples of What We've Worked On

Data Management Planning

Helped many researchers interpret National Science Foundation (NSF) and other funder requirements for the DMP section of a grant. Also provided detailed feedback for improving the DMPs.

Data Strategies

Assessed the data organization needs of a cancer research lab and made recommendations for managing multi-terabyte datasets and connected them with other campus computing resources.

Data Documentation

Created an automated documentation template for a research lab intended to capture and document the characteristics, locations, and responsible individuals for data associated with figures in published research articles.

Complex Data Archiving

Assisted a researcher with organizing and attaching metadata to data in a complex archiving project involving multiple large hierarchical datasets

Software and Data Archiving

Ensured the long-term accessibility of linguistics data by creating, documenting, and archiving a virtual machine consisting of data annotation software alongside the data itself.

Data Strategies

Worked with a researcher to think through how to capture, route, and store instrument data to ensure quality control and ease of analysis and outlined how a relational database could address the identified needs.

Classroom Teaching

Developed custom lectures to train graduate and undergraduate students on data management and visualization.