Future Research Challenges and Directions
The linking of sensitive databases across organisations is an active area of research in several domains. In this chapter we discuss some of the major open research questions that require further investigations. These include the development of frameworks
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inking Sensitive Data
Methods and Techniques for Practical Privacy-Preserving Information Sharing
Linking Sensitive Data
Peter Christen • Thilina Ranbaduge • Rainer Schnell
Linking Sensitive Data Methods and Techniques for Practical Privacy-Preserving Information Sharing
Peter Christen Research School of Computer Science The Australian National University Canberra, ACT, Australia
Thilina Ranbaduge Research School of Computer Science The Australian National University Canberra, ACT, Australia
Rainer Schnell Institut für Soziologie Universität Duisburg-Essen Duisburg, Germany
ISBN 978-3-030-59705-4 ISBN 978-3-030-59706-1 (eBook) https://doi.org/10.1007/978-3-030-59706-1 © 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
To Gail, with all my love. P. C. To my loving family. T. R. To Katrin, my perfect match. R. S.
Foreword
By now, the potential that data science has for benefitting society must be obvious to everyone. As more and more large data sets describing people and their behaviour accumulate, so the opportunities for improving public policy, for enhancing the efficiency of service industries, for increasing the efficiency of healthcare systems, and for a host of other ways of bettering the human condition are becoming apparent. Many of these possibilities arise as a consequence of linking data sets. Research programs in many countries have been established with the specific aim of combining data from disparate sources to enable opportunities that none of the data sets alone could do. But all advanced technologies must be handled with care. And this is as true for data science, and in particular for data-linkage technology, as it is for nuc
