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Ph.D. in Information Science and Technology Resources: Data Training

Research Data Tutorials

Introduction

Welcome to the Research Data Training series! These tutorials aim to help you think about how to work with your data in a methodical, efficient manner. We reccomend that you first watch all them in order, then come back to each when you need a refresher.These tutorials assume that you have had some experience with data such as through an introductory research methods or statistics course. Graduate students who are in the early stages of planning their thesis or dissertation would benefit most from this series.

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 tutorials, 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.

Supplementary Materials:
  • Project Documentation - Sample excel spreadsheet for documenting your project, file manifest and listing your variables
  • 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".
  • Guide to Social Science Data Preparation and Archiving - Though this says "Social Science," it is applicable to all fields.

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.

Supplementary Materials

Documenting Your Research

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

 Supplementary Materials:

  • 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".
  • Project Documentation - Sample excel spreadsheet for documenting your project, file manifest and listing your variables

Collecting Your Data

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

Supplementary Materials:

Cleaning Your Data

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

Supplementary Materials

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.

Supplementary Materials: