Process Design for Natural Scientists An Agile Model-Driven Approach [Paperback]

This book presents an agile and model-driven approach to manage scientific workflows. The approach is based on the Extreme Model Driven Design (XMDD) paradigm and aims at simplifying and automating the complex data analysis processes carried out by scientists in their day-to-day work. Besides documenting the impact the workflow modeling might have on the work of natural scientists, this book serves three major purposes: 1. It acts as a primer for practitioners who are interested to learn how to think in terms of services and workflows when facing domain-specific scientific processes. 2. It provides interesting material for readers already familiar with this kind of tools, because it introduces systematically both the technologies used in each case study and the basic concepts behind them. 3. As the addressed thematic field becomes increasingly relevant for lectures in both computer science and experimental sciences, it also provides helpful material for teachers that plan similar courses.

Framework.-?Bioinformatics applications.- Geovisualization applications.

From the book reviews:

This book is part of the Communications in Computer and Information Science (CCIS) series, which publishes peer-reviewed proceedings of conferences and workshops. & Each paper & is well written with expert-level precision and is very informative. & this book is essentially a conference proceedings composed of well-written papers for specialists. (M. M. Tanik, Computing Reviews, January, 2015)

Serves as a primer for the field of scientific workflows

Includes an extensive number of applications and case studies in bioinformatics and geovisualization domains

Addresses the current topics related to big data and reproducible science

Can be used as a text book for students in experimental sciences