Data Collection & Management

This course is designed for graduate students from any discipline – social sciences, humanities, biophysical sciences – and at all stages of their graduate program. It is an introduction to methods for collecting, organizing, managing, and visualizing both qualitative and quantitative data. Students will gain hands-on experience with best practices and tools.

Course Introduction

Data Collection & Management

Course Objectives

At the conclusion of this course students will be able to:

Describe the different types of research data & the research data life-cycle

Explain the need for and benefits of data management and sharing

Describe and implement best practices for data collection, storage, management, and sharing

Find, download, and analyze publicly available data from repositories

Carry out simple and reproducible data corrections and dataset organization

Describe public policies and agency requirements for data management and sharing

Articulate the major legal & ethical issues regarding the data collection, use, and storage

Create and Implement Data Management Plans in funder-specific formats

Identify and properly use tools for more efficient and secure data collection in the field