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Research Data Services: Research Tutorials

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:

  • 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.
  • ELM - Lab and project management system, collaboration, reference 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:

Research Tutorials

Introduction

Welcome to the Research Data Training series! These training modules aim to help you think about how to work with your data in a methodical, efficient manner. We recommend that you first watch all the videos in order, then come back to each when you need a refresher.These modules assume that you have had some experience with data such as through an introductory research methods or statistics course. If you are new to research data, then we suggest you watch An Introduction to the Basics of Research Data.

We welcome your comments and suggestions for improving these modules, as well as suggestions for other topics. You can email us at datasvcs@syr.edu or use the Comments link at the bottom of the page.

 

 
 

 

Planning Your Research

This is the first module of the Research Data Training Series. In this module we discuss how to plan your research project.

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Working With Variables

In this module we discuss techniques of working with variables- naming and labelling them, dealing with missing data, recoding variables and other information necessary to properly define and manipulate your data.

 

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Documenting Your Research

In this module we discuss why you should document your research and what you should document., 

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  • Data Documentation Initiative - A metadata specification for the social and behavioral sciences.
  • Directory of Metadata Schema- This directory provides a list of formal metadata schema and related standards giving brief descriptions and links to further information
  • File Naming Conventions - Guidelines for naming folder and files
  • MANTRA - "is a free, online non-assessed course with guidelines to help you understand and reflect on how to manage the data you collect throughout your research".

Collecting Your Data

In this module we discuss strategies for paper-based and electronic data collection, data entry and using secondary data.
 

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Cleaning Your Data

In this module we will learn  what to look for when cleaning your data and how to fix problems.

 

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Analyzing Your Data

In this final module we discuss the steps in analyzing your data: creating new variables, describing your data and, of course, doing the analysis.

 

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Welcome to the Qualtrics Tips and Tricks series! These training modules aim to help you think about and work in Qualtrics to build a first-rate survey in an efficient manner. You should first watch Qualtrics' introductory videos to familiarize yourself with the basics of Qualtrics. We recommend that you first watch all the videos in order, then come back to each when you need a refresher. We welcome your comments and suggestions for improving these modules, as well as suggestions for other topics. You can email us at datasvcs@syr.edu or use the Comments link at the bottom of the page.

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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Welcome to the Qualtrics: Anonymity tutorials. These modules will explain the details of the various methods of anonymizing your Qualtrics survey and how each will affect the data you gather. This series assumes that you have already watched the Qualtrics: Introduction series. We welcome your comments and suggestions on how to improve these tutorials as well as topics for future tutorials. You can email us at datasvcs@syr.edu.

 

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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Welcome to the Qualtrics: Randomization tutorials. These modules cover different methods of randomizing treatments and respondents in Qualtrics as well as how those choices will afftect the data your gather. This series assumes that you have already watched the Qualtrics: Introduction series. We welcome your comments and suggestions on how to improve these tutorials as well as topics for future tutorials. You can email us at datasvcs@syr.edu.

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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