The Data Services team at the Washington University Libraries supports research and scholarship across disciplines. Data Services offers 1-1 consultations, talks, demonstrations, and hands-on workshops in relevant tools. We support data throughout the research lifecycle through our core services of: data literacy, data management, data sharing and curation, data analysis, data visualization, and GIS
Mondays from 2:00 pm to 4:00 pm
Tuesdays from 2:00 pm to 4:00 pm
Wednesdays from 10:00 am to 12:00 pm
Thursdays from 10:00 am to 12:00 pm
1-1 Consultations: We ask that those interested in an appointment with our Data Services Team (related to any of our core services) complete a short questionnaire. Your responses will allow the Data Services team to better assist you and to understand your needs and the needs of the campus community.
Data Sharing and Curation: Data is shared and archived for a variety of reasons. The value curation adds to our University community is incalculable, as are the benefits of curation to the longevity, accessibility, and availability of said shared information.
Workshops: Data Services at University Libraries offers several opportunities for groups, teams, departments, or labs to receive workshops in a broad array of areas. If you do not see the topic you need in the core services options below, please contact us to discuss developing a customized workshop.
Service available to All entities, including for-profit organizations.
Priority service for Washington University and other non-profit organizations.
- Data Management Planning - Planning and implementation of data collection, organization, storage, security, collaboration, and documentation practices to support the use and reuse of research data. Check out the DMPTool
- Data Sharing and Curation - curation means preparing data for publication/sharing. Sharing is often required by funder mandate, journal publishers and researcher communities. You can share your data in our institutional repository. Data sharing is critical for is for research transparency, reusability, and citation.
- Data Literacy - competency to find & evaluate, understand & use, critically assess, and argue & communicate with data.
- Quantitative Analysis - Numeric data obtained from measurement or count. This data can be used to calculate, simulate, model, and conduct statistical analysis.
- Qualitative Analysis - Text, words, ideas, and observed behaviors. This data is used to describe and interpret human behavior based primarily on the words and actions of selected individuals
- Data Visualization - Communicating with visual models of data to make it consumable for both experts, and non experts.
- Geographic information systems (GIS) are a set of tools and data that allow researchers to explore complex problems using spatial thinking and relationships. It allows for the description, analysis, inference, and communication of place.
- Six robust (Windows) workstations with software
- focused on data visualization data analysis
- Remotely available
DaVE (Data and Visualization Exploration)
- Photogrammetry Equipment and software
- Structured-light scanner
- Hololens and Virtual Reality headsets for research and teaching
Pricing is subject to core verification
|Consultation||Tier 1 +||Tier 2 +|
|Resources||Customized resources||Scoped services / cost recovery $73/hour|
|Generalized workshop||Customized workshops||Effort greater than 10 hours|
|Effort fewer than 10 hours||Specialized effort|
|Generalized effort||Limited availability|