Research Data Services

Please join University Libraries Data Services February 8-12 for a week of  events and lively conversations about “Diversity and Inclusion in Data” featuring R, Tableau, data ethics, data visualization and other new data tools for the entire SHU Community.  View the full schedule. Contact lisa.deluca@shu.edu with questions.

University Libraries is excited to introduce our new Data Services Department. Library staff and faculty are available for workshops and one-on-one consultations to help you find, manage, analyze, and visualize the data you need for your coursework and use in your research.  Appointments can be made for other times upon request.

Questions?  Reach out to data.services@shu.edu

Data Services Appointment Form 

Research Data Services News

Finding Data

We can help you find reliable data for your research topic including:

• finding data from reputable organizations in usable formats
• assisting with changing formats or importing spreadsheet data into analytics packages
• directing you to data repositories that SHU subscribes to like Inter-university Consortium for Political and Social Research (ICPSR)
• locating free data sources  (Simply adding the word dataset or statistics to your keyword search can lead you to key agencies)

Managing Data

We can help you manage your data by:

• creating and actively managing a Data Management Plan (DMP), required by many granting agencies
• organizing files logically, with file names and folder structures for easy retrieval
• storing files and written information securely on your own computer, OneDrive or cloud storage
• cleaning your data, with explicit units, explanations for missing values, and other metadata to make your data make sense

Analyzing Data

Learn software tools to help make sense of your data.  We have a data analyst who can assist with quantitative and qualitative programs including Excel, R, SPSS, Stata, Atlas.ti, and Qualtrics.

Visualizing Data

Master the ability of manipulating text or spreadsheet data in a range of open source tools.  Want to get started?  Visit our Data Visualization Guide.  We can also help you with advanced tools like Tableau.