Skip to Main Content

Data Services

Data Services helps QC community work with quantitative and qualitative data for teaching, learning and research.

Data & Research Data

  • Data can be "any information that can be stored in digital form, including text, numbers, images, video or movies, audio, software, algorithms, equations, animations, models, simulations, etc." Each area of science "has its own culture regarding data." [National Science Board, 2005].
  • Data are "the recorded factual material commonly accepted in the scientific community as necessary to validate research findings. This includes original data, but also 'metadata' (e.g., experimental protocols, code written for statistical analyses, etc.)." [Behavioral and Economic Sciences (SBE), 2018]
  • In academic research, data is the output from any systematic investigation that involves a process of observation, experiment or the testing of a hypothesis [Pryor, 2012]. 

References:

Behavioral and Economic Sciences (SBE) (April 2018). SBE Data Management Guidance. https://www.nsf.gov/sbe/data-management

National Science Board (December 2005). Long-Lived Digital Data Collections Enabling Research and Education in the 21st Century. http://www.nsf.gov/pubs/2005/nsb0540/

Pryor, G. (Ed.). (2012). Managing research data. Facet Publishing.

QCL Data Services

QCL Data Services helps QC community work with quantitative and qualitative data, and assists users with data archives and databases that Queens College has membership and subscriptions to.

This graph is inspired by New York University: https://guides.nyu.edu/dataservices.

Services Overview

Data Services

Assisting our campus community in working with data for teaching, learning and research.

Secondary Data Sources

Helping access data sets, statistics and specialized databases

Data Tools 

Providing specialized software and assistance with your data analysis.

Data Visualization

Guiding data visualization solutions.

Data Management

Assisting Queens College researchers with the organization and management of research data.

Data Literacy

Introducing data science theoretically and practically.

Tutorial

Customizing instructional teaching and learning based on your need.