Data-Intensive Science

CHAPTER 1

What Is Data-Intensive Science?

Terence Critchlow and Kerstin Kleese van Dam

CONTENTS

1.1    A Vision for the Future of Science

1.2    Organization of This Book

1.2.1    Section 1: Data-Intensive Grand Challenge Science Problems

1.2.2    Section 2: Case Studies

1.2.3    Section 3: From Challenges to Solutions

References

Today, we are living in a digital world where scientists often no longer interact directly with the physical object of their research but do so via digitally captured, reduced, calibrated, analyzed, synthesized and, at times, visualized data. Advances in experimental and computational technologies have led to an exponential growth in the volume, variety, and complexity of data and although the deluge is not happening ...