The Data Science Framework: A View from the EDISON Project

by Juan J. Cuadrado-Gallego (Editor), Yuri Demchenko (Editor)

Overview

This edited book first consolidates the results of the EU-funded EDISON project (Education for Data Intensive Science to Open New science frontiers), which developed training material and information to assist educators, trainers, employers, and research infrastructure managers in identifying, recruiting and inspiring the data science professionals of the future. It then deepens the presentation of the information and knowledge gained to allow for easier assimilation by the reader.

The contributed chapters are presented in sequence, each chapter picking up from the end point of the previous one. After the initial book and project overview, the chapters present the relevant data science competencies and body of knowledge, the model curriculum required to teach the required foundations, profiles of professionals in this domain, and use cases and applications. The text is supported with appendices on related process models.

The book can be used to developnew courses in data science, evaluate existing modules and courses, draft job descriptions, and plan and design efficient data-intensive research teams across scientific disciplines.

Product Details

ISBN-13:	9783030510251
Publisher:	Springer International Publishing
Publication date:	10/02/2020
Edition description:	1st ed. 2020
Pages:	194
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

Introduction to the Data Science Framework.- Data Science Competences.- Data Science Body of Knowledge.- Data Science Curriculum.- Data Science Professional Profiles.- Use Cases and Applications.- App. A, Data Science Related Process Models.