Data Services include assistance across GW in data management, creation, visualization, and analysis in support of all aspects of the research, teaching, and learning workflows. If you need help finding data on a specific topic, refer to our subject guides and expert librarians. We offer support, training, and consultations both online and in person in all of these topics. (Text inspired by MIT Libraries)
If you're working with administrative data, such as student grades, enrollment records, course evaluations, financial aid details, or HR information, visit GW Information Technology’s Data Governance website for policies, best practices, and tools to support secure and ethical data use.
If you're managing research data, including datasets collected or generated through research projects (e.g., survey responses, lab measurements, interview transcripts, or observational logs), explore our research data services for guidance on data management plans, repository options, and responsible sharing.
- For the Schools of Medicine, Nursing, and Public Health, visit Himmelfarb Health Sciences Library’s NIH Data Management & Sharing Plan (DMSP) Research Guide.
- Contact the Research Data Management Task Force with general questions related to data storage, sharing, and preservation.
We are also dedicated to data preservation. Please visit our Safeguarding Access to Research Datasets page for information and updates regarding our data preservation efforts.
What tasks do you want support with?
Do Statistical Analysis
- Analyze quantitative or numeric data
- Run statistical analyses
- Use statistical software programs
Manage Research Data
- Manage research data/files
- Write a data management plan
- Get support accessing restricted data
Work with Social Media Data Collection & Analysis
- Collect or analyze social media data
Create Data Visualizations
- Make charts, graphs, or other data visualizations
Tell Digital Stories and Use Multimedia
- Create videos, video games, 3D prototypes, and more
Get Support with Programming and Coding