Bookreview of principles of data integration

Martin Telefont

doi:10.3389/fninf.2013.00011

Abstract

Bookreview of principles of data integration

Highlights

Large-scale data gathering efforts of the past, like the Human Genome Project, have shown that their most valuable contribution is data, which allows researchers to link their own experimental findings to them
After an initial introductory chapter, the remainder of the book is split into three parts, “Foundational Data Integration Techniques,” “Integration with Extended Data Representations,” and “Novel Integration Architecture.”
Through the book the authors are leading the novice from basic concepts to the current state of data integration principles and techniques

Summary

Introduction

Large-scale data gathering efforts of the past, like the Human Genome Project, have shown that their most valuable contribution is data, which allows researchers to link their own experimental findings to them. Doan et al (2012) introduce the current state of Data Integration to a general, academically trained, readership. After an initial introductory chapter, the remainder of the book is split into three parts, “Foundational Data Integration Techniques,” “Integration with Extended Data Representations,” and “Novel Integration Architecture.” Through the book the authors are leading the novice from basic concepts to the current state of data integration principles and techniques.

Results

Conclusion