Data-Intensive Science

This book explores how data-intensive science can transform research and accelerate solutions to global challenges, highlighting key technologies and practices. Data-Intensive Science offers essential insights.

Data-intensive science holds immense potential to revolutionize scientific research, offering the means to swiftly translate advancements into actionable solutions, policies, and economic benefits. However, effective knowledge access and exchange among scientists, researchers, and policymakers across diverse fields remain a significant challenge. Data-Intensive Science brings together leaders from various scientific disciplines to illustrate how a comprehensive integration of techniques and technological innovations can harness the vast data being generated, thereby accelerating progress to tackle some of the world's most pressing issues.

In this insightful work, a diverse range of application, computer, and data scientists delve into the impact of data-intensive science on contemporary research. They discuss emerging technologies poised to drive future breakthroughs and identify best practices for overcoming challenges inherent in this field. The book also highlights existing gaps in current approaches while emphasizing the integration of data-intensive science into standard research practices. It elucidates how the components within the data-intensive science ecosystem must collaborate to create the infrastructure necessary for large-scale scientific partnerships.

Organized around a high-level workflow of data-intensive science, this book provides clarity on the scientific problems that could benefit from collaborative research. It examines the current capabilities of data-intensive science and outlines solutions that can facilitate the next wave of scientific advancements, making Data-Intensive Science an essential read for those invested in the future of research.