Research Data Services
Research Computing Services provides a range of data science, programming, and visualization services to help you work with research data more effectively and efficiently. We combine specialized technical skills with research experience to enable your innovative research.
Interested in what we do? Our Annual Report on data services provides an overview of our work and the many Northwestern researchers we work with each year.
Services
- Get Help via a Consultation
- Join a Data Working Group
- Request Support for a Research Project
- Workshops and Training
Consultations
Consultants are available to help Northwestern researchers of all levels (undergraduate students, graduate students, postdocs, faculty, staff) from all schools and fields with a wide range of data challenges. For example:
- Collecting data from the web, databases, APIs, and other sources
- Transforming, reformatting, and wrangling data files
- Extracting information from text data
- Troubleshooting R, Python, Stata, and other statistical and programming code
- Planning and setting up computing, storage, and data workflows for your projects
- Automating repetitive research tasks
- Writing scripts to manipulate, analyze, and visualize data
- Visualizing data for exploratory analysis, publication, or communication with the public
Consultations provide no-cost, short-term support to answer questions, help you get started, direct you to the right resources, or tackle small tasks. For larger projects, see Research Project Support services below.
Note that while we assist researchers with statistical programs and languages, assistance with or advice on choosing, evaluating, and interpreting statistical models or tests is limited; such requests are often outside the expertise of our consultants. The Biostatistics Collaboration Center is an excellent resource for researchers affiliated with the Feinberg School of Medicine. Other researchers may request a consult for statistics questions; we will evaluate our ability to help on a request by request basis.
Get help through a scheduled appointment/email or via our drop-in hours.
Data Drop-in Hours
Due to the pandemic, we are not currently holding drop-in hours. Please schedule a consultation instead.
Schedule a Consultation
Consultation services are provided to students, postdocs, faculty, and staff to support research only. There is no cost for this service. Assistance with coursework or commercial endeavors is not available.
Ready to get started? After you tell us a little about what you need help with, we'll follow-up by email to get more details or schedule a video/phone call.
Bring Your Own Data (BYOD) Working Groups
Do you have data waiting to be collected, cleaned, analyzed, or visualized? BYOD Working Groups provide structure, guidance, and accountability to help you make progress on data or programming components of your research project. Groups are formed quarterly.
The program includes:
- Help developing a project plan and timeline
- On-call assistance with your data and programming questions
- Weekly group check-ins to hold you accountable for meeting your deadlines
- A community of peers for talking through your ideas and celebrating your progress
- Access and referrals to learning resources to support your work
Due to our workshop schedule, for Summer 2021, we will be holding an intensive BYOD week August 30 - September 3 instead of meeting throughout the quarter. Participants should plan to set aside the entire week to focus on making progress on a research project involving data or programming. The week will consist of:
- Daily check-ins with a small group
- Meeting with data science staff on Monday to discuss your project and identify any issues you want help with
- A Slack channel for interaction with other participants and questions
- Consultations on your project as needed - from short troubleshooting sessions to longer conceptual discussions or feedback sessions
BYOD is open to all Northwestern students, postdocs, staff, and faculty working on research projects.
To apply, complete this form. You will need to provide a short summary of the data project you plan to work on. Deadline to apply for Summer 2021 is August 15, 2021. Spots are limited, and we may not be able to accommodate everyone who is interested.
Research Project Support
Research Computing Services staff may also be available to support longer-term projects for faculty where specialized data analysis, visualization, or software development skills could enhance a project or are required for its success. Longer engagements often require funding to support, but there's never a cost for initial consultations and planning conversations. It helps us to hear about projects where such skills are required, even if funding is not available. We can support unfunded projects depending on our availability, and we can help you apply for funding to support your project. Learning more about your research allows us to plan future services that will best serve the needs of the research community.
Examples of Our Past Work
- Web application: Created a web-based tool that allowed research assistants to review a large collection of email documents and code information about the emails using a custom form. The tool increased research assistant accuracy and speed, allowed for easier monitoring and review of the work by the faculty member, and stored the work in a backed-up database.
- Data workflow redesign: Automated an hours-long, manual data workflow for a research lab that involved editing multiple spreadsheets in an error-prone process. The raw data files are instead uploaded to a cloud service, and lab staff can now run automated queries to extract the subset of data they need on demand in seconds.
- Data analysis support: Combined the results of a dozen online surveys, multiple participant activity logs from MOOC courses on multiple platforms, and several SQL database dumps to create datasets to analyze the impact of the MOOC courses. Analyzed and visualized the data for inclusion in study publication. Created code and data files to allow analysis to be shared and replicated.
- Research replicability: Reviewed and revised code and data files for a forthcoming journal article to ensure research results could be easily confirmed and built upon by other researchers. Created data dictionary, R Markdown document to produce paper's results, and a unified dataset.
- Data extraction: Extracted data on schools' performance from PDFs with varied formats. Exported data to a CSV file.
- Text processing: Developed dictionaries of key terms related to topic of interest, tracked prevalence of topic in a collection of documents overtime, and evaluated the accuracy and precision of the topical coding. Determined that machine learning methods would not produce the required level of accuracy for the research task given the amount and complexity of the data available.
- Data visualization: Created interactive visualization to allow users to explore relationships between variables in a dataset and produce plots of the data in their web browser.
Support is not limited to these examples. We are always excited to be challenged with new projects!
Learn More
Interested in talking about support for a longer project? Request a consultation and let us know you'd like to talk about support for a research project.
Workshops and Training
Helping you learn new skills is a big part of what we do! We offer workshops throughout the year, as well as online resources. We also partner with university organizations, groups, and departments to offer customized workshops or training for researchers. Looking to organize an event? Contact us to find out more.
Last Updated: 7 June 2021
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