add a SciOps section in introduction

book/00-introduction/00-purpose.md

@@ -7,6 +7,8 @@ authors:
 
 # Purpose
 
+## Introducing DataJoint 
+
 Primarily, this book is a comprehensive introduction to DataJoint for Python—a specialized framework for implementing scientific data pipelines that manage data and orchestrate computations in collaborative studies.
 At its core, DataJoint is an enhancement of the traditional relational database model.
 As such, it enables scientists, data engineers, and programmers to design and query relational databases.
@@ -31,6 +33,9 @@ One of the unique advantages of using DataJoint is that practitioners can become
 
 To make this book a comprehensive introduction to databases, we will also teach the equivalent SQL concepts and syntax alongside DataJoint. Throughout the chapters, you'll find executable examples and clear explanations of how SQL and DataJoint work together. As a result, not only will you learn how to use DataJoint effectively, but you'll also gain a solid foundation in SQL programming.
 
+# Scientific Operations 
+Review what it takes to operate a scientific project: @10.48550/arXiv.2401.00077
+
 # Focus on Neuroscience
 
 While the tools and concepts in this book are applicable to any computationally intensive field, DataJoint has its roots and most widespread applications in systems neuroscience. The development of DataJoint was closely tied to the needs of neuroscience research, and much of the support for this work has come from neuroscience-focused funding sources.