• Complain

Juan J. Cuadrado-Gallego Yuri Demchenko - The Data Science Framework: A View from the EDISON Project

Here you can read online Juan J. Cuadrado-Gallego Yuri Demchenko - The Data Science Framework: A View from the EDISON Project full text of the book (entire story) in english for free. Download pdf and epub, get meaning, cover and reviews about this ebook. City: Cham, year: 2020, publisher: Springer, genre: Computer. Description of the work, (preface) as well as reviews are available. Best literature library LitArk.com created for fans of good reading and offers a wide selection of genres:

Romance novel Science fiction Adventure Detective Science History Home and family Prose Art Politics Computer Non-fiction Religion Business Children Humor

Choose a favorite category and find really read worthwhile books. Enjoy immersion in the world of imagination, feel the emotions of the characters or learn something new for yourself, make an fascinating discovery.

Juan J. Cuadrado-Gallego Yuri Demchenko The Data Science Framework: A View from the EDISON Project

The Data Science Framework: A View from the EDISON Project: summary, description and annotation

We offer to read an annotation, description, summary or preface (depends on what the author of the book "The Data Science Framework: A View from the EDISON Project" wrote himself). If you haven't found the necessary information about the book — write in the comments, we will try to find it.

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 develop new courses in data science, evaluate existing modules and courses, draft job descriptions, and plan and design efficient data-intensive research teams across scientific disciplines.

Juan J. Cuadrado-Gallego Yuri Demchenko: author's other books


Who wrote The Data Science Framework: A View from the EDISON Project? Find out the surname, the name of the author of the book and a list of all author's works by series.

The Data Science Framework: A View from the EDISON Project — read online for free the complete book (whole text) full work

Below is the text of the book, divided by pages. System saving the place of the last page read, allows you to conveniently read the book "The Data Science Framework: A View from the EDISON Project" online for free, without having to search again every time where you left off. Put a bookmark, and you can go to the page where you finished reading at any time.

Light

Font size:

Reset

Interval:

Bookmark:

Make
Contents
Landmarks
Editors Juan J Cuadrado-Gallego and Yuri Demchenko The Data Science - photo 1
Editors
Juan J. Cuadrado-Gallego and Yuri Demchenko
The Data Science Framework
A View from the EDISON Project
1st ed. 2020
Editors Juan J Cuadrado-Gallego Department of Computer Science University - photo 2
Editors
Juan J. Cuadrado-Gallego
Department of Computer Science, University of Alcal, Madrid, Spain
Yuri Demchenko
Faculty of Science, Universiteit van Amsterdam, Amsterdam, The Netherlands
ISBN 978-3-030-51022-0 e-ISBN 978-3-030-51023-7
https://doi.org/10.1007/978-3-030-51023-7
Springer Nature Switzerland AG 2020
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This Springer imprint is published by the registered company Springer Nature Switzerland AG.

The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

Preface

From Juan J. Cuadrado-Gallego and Yuri Demchenko

We want to give our acknowledgements to the European Commission that under the code 675419 funds the EDISON project between the years 2015 and 2017. We acknowledge all project members of the EDISON project and community involved who created facilitating and motivating environment for the EDSF development and implementation. Also, we would also like to acknowledge our universities, Universiteit van Amsterdam, Amsterdam, the Netherlands, and the Universidad de Alcal, Madrid, Spain, for their support during the realisation of this book. And finally we acknowledge the rest of researchers who have collaborated in the realisation of any of the chapters of the book: Luca Comminiello, from the Universidad degli Studi de Perugia, Italy; Tomasz Wiktorski, from the Universitetet i Stavanger, Norway; Oleg Chertov, from the Igor Sikorsky Kyiv Polytechnic Institute of the National Technical University of Ukraine, Ukraine; Ernestina Menasalvas, Ana M. Moreno and Nik Swoboda, from the Universidad Politcnica de Madrid, Spain; and Steve Brewer, from the University of Southampton, UK.

From Juan J. Cuadrado-Gallego

This is the first important work that I have been able to do after having suffered a major accident in 2016 from which it was really very difficult to recover. I want to thank and dedicate this book to all the people without whom it would have been impossible to get it, especially to my wife and my daughters, Ana Prez de la Serna, Ana Cuadrado and Cristina Cuadrado.

From Yuri Demchenko

I dedicate this book to my lovely women, my wife Natalia, my daughter Anastasia and my granddaughter Sonia. All of them have an important role in what I do, what I write, what I learn and how I live. While my wife helped me to understand some elements of business data management, my granddaughter is helping me to understand how to teach data science starting from the school.

Juan J. Cuadrado-Gallego
Yuri Demchenko
Amsterdam, The Netherlands
January, 2020
Acronyms
ACM

Association for Computer Machinery

BA

Business analytics

BI

Business intelligence

BOK

Body of knowledge

BPM

Business process management

BABOK

Business analysis body of knowledge

CCS

Classification Computer Science by ACM

CCECC

Committee for Computing Education in Community Colleges

CEN

European Committee for Standardization

CF-DS

Data Science Competence Framework

CODATA

International Council for Science: Committee on Data for Science and Technology

CRISP-DM

Cross-Industry Standard Process for Data Mining

CS

Computer science

CWA

CEN Workshop Agreement

DigComp

Digital competences for citizens (EU report 2017)

DM-BoK

Data Management Body of Knowledge by DAMAI

DS-BoK

Data Science Body of Knowledge

DSCP

Data Science Community Portal

DSPP

Data Science Professional Profiles

DSPS

Data Science Professional Skills

EC

European Commission

e-CF

European e-Competence Framework

EDSA

European Data Science Academy

EDSF

EDISON Data Science Framework

EGI

European Grid Initiative

ELG

EDISON Liaison Group

EOEE

EDISON Online E-Learning Environment

EOSC

European Open Science Cloud

EQF

European Qualification Framework

ERA

European Research Area

ESCO

European Skills, Competences, Qualifications and Occupations

ETM-DS

Data Science Education and Training Model

EU

European Union

EUA

European Association for Data Science

EUDAT

http://eudat.eu/what-eudat

HPCS

High Performance Computing and Simulation Conference

ICT

Information and Communications Technologies

IEEE

Institute of Electrical and Electronics Engineers

IG-ETHRD

RDA Interest Group on Education and Training on Handling Research Data

IPR

Intellectual property rights

ISCO

International Standard Classification of Occupations

KA

Knowledge area

KAG

Knowledge area group

KU

Knowledge unit

LERU

League of European Research Universities

LIBER

Association of European Research Libraries

LO

Learning outcome

LU

Learning unit

MC-DS

Data Science Model Curriculum

NIST

National Institute of Standards and Technology of the US Department of Commerce

NBD-WG

NIST Big Data Working Group

NBDIF

NIST Big Data Interoperability Framework

P21

21st-Century Skills Framework

PID

Persistent identifier

PM-BoK

Project Management Body of Knowledge

PRACE

Partnership for Advanced Computing in Europe

RDA

Research Data Alliance

SWEBOK

Software Engineering Body of Knowledge

UK

United Kingdom

US

United States

Contents
Juan J. Cuadrado-Gallego and Yuri Demchenko
Yuri Demchenko and Juan J. Cuadrado-Gallego
Juan J. Cuadrado-Gallego and Yuri Demchenko
Tomasz Wiktorski , Yuri Demchenko and Juan J. Cuadrado-Gallego
Yuri Demchenko and Juan J. Cuadrado-Gallego
Yuri Demchenko , Luca Comminiello , Tomasz Wiktorski , Juan J. Cuadrado-Gallego , Oleg Chertov , Ernestina Menasalvas , Ana M. Moreno , Nik Swoboda and Steve Brewer
List of Figures
Fig. A.1 Data Lifecycle Management in (a) Scientific data lifecycle managemente-Science focused, (b) Big Data Lifecycle Management model (compatible with NIST NBDIF)
Next page
Light

Font size:

Reset

Interval:

Bookmark:

Make

Similar books «The Data Science Framework: A View from the EDISON Project»

Look at similar books to The Data Science Framework: A View from the EDISON Project. We have selected literature similar in name and meaning in the hope of providing readers with more options to find new, interesting, not yet read works.


Reviews about «The Data Science Framework: A View from the EDISON Project»

Discussion, reviews of the book The Data Science Framework: A View from the EDISON Project and just readers' own opinions. Leave your comments, write what you think about the work, its meaning or the main characters. Specify what exactly you liked and what you didn't like, and why you think so.