Data Services

Our data librarian is available to answer your questions regarding best practices in research data management and sharing, and compliance with requirements related to the management and sharing of research data (e.g. from a publisher or funder).

Data Management Planning and Dataset Review Services

• Choose a repository to share your research and comply with funder and publisher requirements.
• Create a Data Management Plan for your grant using templates and example language for major funding agencies with DMPTool. By signing in with your UW-Madison NetID, you’ll be able to request feedback on your DMPs from RDS consultants once you’ve completed a first draft of your DMP.
• Guidance on the creation of metadata to include with your research when submitting to a repository, including identifiers, data dictionaries and metadata standards.
• Select a data storage option best suited to your research and group needs. Cloud computing and campus data storage solutions are available through DoIT’s Research Cyberinfrastructure (CI) team.
• UW-Madison Libraries is a member of the Data Curation Network and offers curation and dataset review for those submitting data for reuse and discovery.

Consultations

One-on-one or group consultations are available by appointment. Example topics include but are not limited to: Data Management 101, Data Management and Sharing Plans, Electronic Lab Notebook onboarding, Choosing a Data Repository for Your Research, Finding and Reusing Data.

• Make an appointment to talk to Trisha Adamus about your data questions.
• Drop-in to Coding Meetup Office Hours with Data Science Hub Facilitators.
• Learn about how the Electronic Lab Notebook Service featuring LabArchives can help you organize and share your research with research collaborators.

Programming Workshops

Introductory and intermediate programming workshops are held in both the Fall and Spring semesters, and can also be taught to departments or groups by request.

R Programming Workshop Series

Introductory R programming, including R basics, Data Wrangling, Data Visualization and Reports. Sign up for one or all workshops in the series. Workshops are free and taught virtually.

Python Programming Workshop Series

Introductory python programming, including an Introduction to Python, Loops, Lists and Functions, Spreadsheets and Data manipulation and Data Visualization. Sign up for one or all workshops in the series. Workshops are free and taught virtually.

Data Science Training

Workshops are offered during the academic calendar year, both on campus and virtual, for a small registration fee. Topics vary but typically include: Data Analysis & Visualization (Unix shell, Python, R), Data Cleaning & Management (OpenRefine, SQL), Machine Learning (Intro to ML, Deep learning) and Version Control & Containerization (Git/GitHub, Docker).

Data Centric Cross-Campus Partners and Related Services

• Research Data Services
• Data Science Hub
• Data Science Institute
• Research Cyberinfrastructure
• Research Impact Support at Ebling Library
• DesignLab
• Center for High Throughput Computing (CHTC)
• Campus Cloud Infrastructure (CCI)
• Social Science Computing Cooperative