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Syracuse University Libraries

Research Data Services: Qualtrics

Online Research Tools

Researchers may find the following tools useful in their work. Emphasis is given to free (or at least having free components) and online tools or services.

Data Management Planning:

  • DMPTool - The DMPTool provides a step-by-step interface for creating a Data Management Plan for NSF, NIH and many other funding agencies.

Electronic Lab Notebooks:

  • Electronic Lab Notebooks - Guide for prospective users; Information for researchers who are interested in adopting an Electronic Lab Notebook system for documenting research and managing data.
  • ELN at Harvard Medical School - The Electronic Lab Notebook Matrix has been created to aid researchers in the process of identifying a usable Electronic Lab Notebook solutions to meet their specific research needs. Through this resource, researchers can compare and contrast the numerous solutions available today, and also explore individual options in-depth.
  • Open Science Framework - Interdisciplinary research project management and collaboration platform. Works with other services such as Figshare, Google Drive and Mendeley.
  • RSpace - An ELN for researchers to organize, manage and collaborate on their projects.
  • Hivebench - Biology-focused experiment, lab and project management.
  • Docollab - Project management system, collaboration.
  • Benchling - Life Sciences focused experiment, lab and project management.

Data Analysis/Visualization:

  • TableauPublic - Free version of their desktop and online data visualization platform. All data uploaded to TableauPublic is available to everyone on the Internet. The paid versions allow restricted access.
  • StatCrunch - Simple online data analysis and survey package.
  • Open HeatMap - Use spreadsheets from excel or Google to create maps and publish on the web.
  • Dataviz - Data visualization for time, geographic and comparative data.
  • OpenRefine - Data cleaning and exploration tool.

Directory of digital research tools:

Qualtrics Workshops

Research Data Services will be providing a series of Qualtrics workshops during the fall semester of 2018. These workshops will be delivered  via the web using Adobe Connect. You do not need to have Adobe Connect installed on your computer.  You may attend any one or all workshops. The workshops are free and all participants must register.

All classes will be held via adobe Connect and will take place from 3:00PM to 4:00PM. All participants are encouraged to arrive early to sign in and get settled so the class may start on time. For more information, please contact Research Data Services at

If you need an accommodation, such as closed captioning, in order to fully participate in any of these workshops, please contact as soon as possible.

The schedule is below. You must register for each class you want to attend. Click on the class title to register:

  • Introduction to Qualtrics– Oct 4, 2018 - In this class we will explore the basics of finding your way around in Qualtrics, highlighting some of the more common tasks and options, learn how to document your survey as well as back it up.


  • Basic Question Design – Oct 11, 2018 - In this class we will examine the many different types of questions available in Qualtrics, learn how and why to change the default values, labels and variable names, as well as how to do some basic questions validation.

  • Intermediate Question Design – Oct 18, 2018 - In this class we will learn how to use skip and display logic to direct what our respondents see, as well as randomizing questions and possible responses.

  • Advanced Question Design – Oct 25, 2018 - Now we get to the cool stuff! In this class we will use “carry forward” to display selected responses in follow-up questions, use “piping” to display data in questions and response text, and creating data calculated from two or more questions.

  • Survey Flow – Nov 1, 2018 - This class will explore the many uses of Survey Flow - randomizing respondents, creating embedded data, customizing the end of your survey and more.

  • Distributing Your Survey – Nov 8, 2018 - Now we will discuss the various methods of getting your survey to your respondents, creating and using contact lists, and, if time permits, asking for contact information in an anonymous survey.

  • Reporting and Exporting Your Results– Nov. 15, 2018 - Why do all of that work if you aren’t going to analyze the data? In this last class we will learn how to do some basic reporting in Qualtrics, export your data to Excel or SPSS and see how different “anonymize responses” options affect your data.


The Qualtrics online survey platform is available to all Syracuse University students, faculty and staff.  The platform may be accessed at . Be sure to use this link so you will be able to use all the features available. If you need help using Qualtrics, please contact Research Data Services at

The tutorials below will help you learn the basics of the most commonly used features of Qualtrics. Please be sure to also watch our Data Training tutorials as well.

Qualtrics Tutorials

Planning Your Qualtrics Survey

This is the first module of the Qualtrics Tips and Tricks series. In this module we discuss how to plan your survey in Qualtrics.

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Documenting and Backing Up Your Qualtrics Survey

This module shows you how and why you can document and back up your Qualtrics survey.

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Variables and Values

This video shows you how to name your variables and edit the individual values to make processing and analysis easier.

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Anonymity In Qualtrics: Introduction

This is the first of three videos on anonymity in Qualtrics. This video discusses the various levels of anonymity in
Qualtrics and what you need to be aware of before you start building your survey.

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Anonymity In Qualtrics: How-to

This video shows you how to set various options for protecting your respondents' privacy as well as what the resulting data will look like.

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Anonymity In Qualtrics: Voluntary Contact Information

This video shows you how to set various options for protecting your respondents' privacy as well as what the resulting data will look like.

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Randomizing Respondents

In this module we describe how to randomly assign respondents to multiple experimental conditions.

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Randomizing Treatments

In this module we discuss randomizing treatments shown to respondents. This module assumes that you have watched the Randomizing Respondents tutorial.

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