Ch1. Data Management

In Chapter 1 we will focus on data management as applied to scientific data.  We will discuss overarching topics like the differing world views of data providers and consumers; acquire an understanding of the important questions we must ask when planning a data management system and learn some of the tricks of the trade.  After finishing this chapter, readers will have a much better understanding of why data management in science is difficult and how to avoid the most common mistakes.

Introduction

Standards

CSV Files

  • The Joy of CSV
  • CSV with Embedded Metadata (CSVEM)
  • Python code for CSVEM
  • R code for CSVEM

Learned from Experience

Tips and Tricks

Commentary

 

 

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