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New Challenges for Data Design

  • David Bihanic

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Depicting Data in Graphical Form

    1. Front Matter
      Pages 1-1
    2. Ben Willers
      Pages 3-22
    3. David Bihanic
      Pages 23-53
  3. Visually Representing and Explaining Data

    1. Front Matter
      Pages 55-55
    2. Giorgia Lupi
      Pages 57-88
    3. Wesley Grubbs
      Pages 89-102
    4. Alberto Cairo
      Pages 103-116
  4. Mapping and Visualizing Data

    1. Front Matter
      Pages 117-117
    2. Mar Santamaria-Varas, Pablo Martínez-Díez
      Pages 119-137
  5. Interacting with Data

    1. Front Matter
      Pages 157-157
    2. Santiago Ortiz
      Pages 159-174
    3. Dino Citraro, Kim Rees
      Pages 175-185
  6. Exploring and Manipulating Data

    1. Front Matter
      Pages 187-187
    2. Fabien Girardin
      Pages 189-205
    3. Giorgio Uboldi, Giorgio Caviglia
      Pages 207-218
  7. Translating and Handling Large Datasets

    1. Front Matter
      Pages 219-219
    2. Richard Vijgen
      Pages 221-234
    3. Christopher Warnow
      Pages 235-249
  8. Experiencing Data Through Multiple Modalities

    1. Front Matter
      Pages 251-251
    2. Arlene Birt
      Pages 253-281
    3. Sha Hwang, Rachel Binx
      Pages 283-291
    4. Scott Murray
      Pages 293-312
  9. Interviews

    1. Front Matter
      Pages 313-313
    2. Jonathan Harris
      Pages 315-339
    3. Nicholas Felton
      Pages 341-352
    4. Stephan Thiel, Steffen Fiedler, Jonas Loh
      Pages 353-375
    5. Jan Willem Tulp
      Pages 377-390
    6. Stefanie Posavec
      Pages 405-422
    7. Benjamin Wiederkehr
      Pages 423-442
  10. Back Matter
    Pages 443-447

About this book

Introduction

The present work provides a platform for leading data designers whose vision and creativity help us to anticipate major changes occurring in the data design field, and pre-empt the future. Each of them strives to provide new answers to the question, “What challenges await data design?” To avoid falling into too narrow a mind-set, each works hard to elucidate the breadth of data design today and to demonstrate its widespread application across a variety of business sectors. With end users in mind, designer-contributors bring to light the myriad of purposes for which the field was originally intended, forging the bond even further between data design and the aims and intentions of those who contribute to it. The first seven parts of the book outline the scope of data design, and presents a line-up of “viewpoints” that highlight this discipline’s main topics, and offers an in-depth look into practices boasting both foresight and imagination. The eighth and final part features a series of interviews with data designers and artists whose methods embody originality and marked singularity.

 

As a result, a number of enlightening concepts and bright ideas unfold within the confines of this book to help dispel the thick fog around this new and still relatively unknown discipline. A plethora of equally eye-opening and edifying new terms, words, and key expressions also unfurl. Informing, influencing, and inspiring are just a few of the buzz words belonging to an initiative that is, first and foremost, a creative one, not to mention the possibility to discern the ever-changing and naturally complex nature of today’s datasphere.

 

Providing an invaluable and cutting-edge resource for design researchers, this work is also intended for students, professionals and practitioners involved in data design, interaction design, digital & media design, data & information visualization, computer science and engineering.

Keywords

Data & Information Visualisation Digital & Media Design Interaction Design New Challenges for Data Design Semantic Representation of Dataflow application of data design challenges of data design creativity and data design data and multiple modalities depicting data in graphical form future of the data design field handling big data handling large datasets manipulating data and data design mapping & visualizing data visually representing data

Editors and affiliations

  • David Bihanic
    • 1
  1. 1.University of Valenciennes and Hainaut-CambresisValenciennesFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-6596-5
  • Copyright Information Springer-Verlag London 2015
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-4471-6595-8
  • Online ISBN 978-1-4471-6596-5
  • Buy this book on publisher's site
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