Intro to Data Management with ARCC

Introduction: Contemporary research is data intensive that requires developing plans and practicing good management strategies. While there are not clear cut answers to every data management situation, there are some best practices to keep in mind throughout your research project. On this page you will find a list of topics relating to data management for research using ARCC resources. These topics are modular and do not need to followed in order, so please feel free to jump to the topic you are most interested in.

This tutorial is available for download as a PDF here.

Goals:

• Understanding the Research Data Management Life-cycle

• The importance of metadata

• Data Storage Options

• Organizing and naming files

Sections:

1. What is data lifecycle and how ARCC can play a role in it?

2. What is metadata and the importance of a README file?

3. Data value and storage

4. Organizing data logically

5. file naming conventions