LAS 6292: Data Collection and Management
Course Reader & Class Notes
Introduction
This book is a manual for students in LAS 6292: Data Collection & Management. The 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.
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
This guide is a Quarto Book hosted on the Bruna Lab’s Github site. Please suggest edits to the text, missing resources, or make suggestions for improvement either by pull request or by posting an issue on the course book’s repository. For more information and tutorials for doing so, see ?sec-manual.