Skip to main content


Sheridan Libary and Learning Services logo

All Guides | Library Home |

Data Connection: Data Services: Getting Started

Data Connection logo

 

   A Service of Library and Learning Services

Welcome!

At Data Connection, our team of skilled librarians and library technicians can work with you to locate, store, and disseminate the data you are working with. We can help you:

  • Connect with the best software for data collection and analysis, including tools for GIS, data visualization, and qualitative and quantitative projects
  • Ensure that you comply with research funding requirements with a thorough data management plan
  • Provide your students with practice datasets and opportunities to do data visualization

Our Team

Lingling Jiang Headshot

Lingling Jiang | Metadata & Systems Librarian

  • Data management, discovery & preservation
  • Data analysis

Lisa Eschli | Digital Assets, Institutional Repository

  • Data storage

Susan Shepley headshot

 

Susan Shepley | Research & Scholarly Engagement Librarian

  • Promoting and disseminating data and scholarship
  • Understanding funding requirements

Claire Wollen headshot

Claire Wollen | Liaison Librarian, Pilon School of Business

  • Locating, storing, and sharing data
  • Data sources and repositories

Nicole Zhang headshot

Nicole Zhang | Digital Assets Technician

  • Statistical & GIS Software

Book a Data Consultation or Workshop

For assistance with locating, storing or sharing your data, please contact:

dataconnection@sheridancollege.ca

Key Terms

According to Statistics Canada, statistics is defined as “a type of information obtained through mathematical operations on numerical data”. Statistics is the interpretation and summary of data, commonly presented in the form of a table, chart of graph.

(Information adapted from Statistics: Power from Data!)

Data are defined by Statistics Canada as "the raw material from which information is obtained" or "facts or figures from which conclusions can be drawn." Data are raw information, directly collected from research studies or surveys. Data can be categorized as quantitative or qualitative. Examples of the formats of data can be dataset, aerial photography, interview notes, surveys, audio or video files etc. Data can be analyzed and processed using statistical software such as Excel, SPSS, SAS, R, etc.

(Information adapted from Statistics: Power from Data!)