Research Handbook on Digital Data: Interdisciplinary Perspectives

About the Book

This Research Handbook explores the function and impact of digital data on various spheres of organizational and social life. It examines essential research across disciplines, including management, sociology, and economics, establishing a foundational understanding of the increasing importance of digital data in contemporary society.

By situating its chapters within the layers of a digital data stack, this unique Research Handbook not only offers a variety of diverse perspectives and approaches, but it also provides a structure for cumulative insight. Leading scholars analyse and interpret the creation, governance, and utilization of data, covering key topics such as machine learning, data heterogeneity, temporal fragilities in data sharing, and blockchain finance. Ultimately, this Research Handbook highlights how the kaleidoscopic nature of digital data gives rise to multiple competing realities, making it a reference point for future scholarship.

The Research Handbook on Digital Data is an essential read for scholars and students of information systems, management, science and technology studies, sociology of technology, public policy, and data governance. It is also of benefit to practitioners in data-intensive fields seeking conceptual clarity and practical insight into the complexities of working with digital data.

Table of Contents:
Contents 1 Looking through the digital data kaleidoscope: introduction to the Research Handbook on Digital Data 1 Marta Stelmaszak, Aleksi Aaltonen and Kalle Lyytinen PART I DATA FOUNDATIONS 2 Boundaries between explicit and tacit knowledge: data’s world 20 James W. Cortada 3 Data in information infrastructures: foundations and structuring of socio- economic value 37 Robin Gustafsson, Robert van der Have, Niko Lipiäinen and Ville Valovirta 4 How datasets become: data journeys from phenomena to facts 57 Matthew Jones PART II DATA DESIGN 5 Machine learning and artificial neural networks: fundamentally new paradigms 72 Michael L. Brodie 6 Data-driven digital twins 89 Michael Grieves 7 Is data self-sovereignty possible in a world of data-enabled learning and artificial intelligence? 108 Ola Henfridsson 8 Data heterogeneity and integration frameworks in modern scientific research 115 Charles McElroy 9 How design decisions affect data reusability 130 Jeffrey Parsons, Shawn Ogunseye, Aida Nouri, Ryan J. A. Murphy and Roman Lukyanenko PART III DATA IN PRACTICE 10 Organizing for data: how digital data imaginaries reconfigure organizations 150 Tomislav Karačić and Anastasia V. Sergeeva 11 Can the data subaltern speak? A decolonial perspective on data studies 162 Silvia Masiero 12 Quousque tandem? A tale of two data work ironies 177 Elena Parmiggiani 13 Parables of circulating reference 191 David Ribes, Geoffrey C. Bowker and Eric Monteiro PART IV DATA GOVERNANCE 14 Balancing interests in digital data governance: evolving regulatory and organizational approaches 203 Elizabeth Davidson and Jenifer Sunrise Winter 15 Temporal fragilities in data sharing and data governance 218 Sirkka L. Jarvenpaa and Anna Essén 16 Data governance – a managerial perspective 233 Christine Legner and Hippolyte Lefebvre 17 Immutable blockchains, mutable rules: comparative governance of blockchain-based lending 252 Mikhail V. Oet and Evelina Kvedaravičiūtė 18 Data governance for AI training: unlocking medical data for innovation 280 Angelo Kenneth S. Romasanta and Jonathan D. Wareham 19 User-centric data governance: transforming education and employment records 297 Yuqiao Xu, Erman Ayday and Youngjin Yoo PART V DATA USE 20 Synthetic digital data in global finance: great expectations, what realizations? 310 Carolina Aguerre, Malcolm Campbell-Verduyn, Marc Lenglet and Edemilson Paraná 21 The nature and development of a planning data ecosystem 324 Juliette Davret, Carla Maria Kayanan, Rob Kitchin and Samuel Mutter 22 Collaborative distributed machine learning: a path to strengthen data privacy 340 Sascha Rank, David Jin, Niclas Kannengießer and Ali Sunyaev 23 Using digital data to shadow physical products in the context of a circular economy: digital watermarks and the HolyGrail 2.0 initiative 355 Jan Recker and Anne Ixmeier PART VI AFTERWORD 24 Somebody really ought to do something about that! 371 M. Lynne Markus

About the Author :
Edited by Aleksi Aaltonen, Associate Professor of Information Systems, Stevens Institute of Technology, Marta Stelmaszak, Assistant Professor of Information Systems, Isenberg School of Management, University of Massachusetts Amherst and Kalle Lyytinen, The Iris S. Wolstein Professor of Management Design, Case Western Reserve University, USA

Review :
‘This book puts digital data at the center of scholarly inquiry, and the result is a refreshing array of perspectives and approaches for dealing with the topic. A must-read for organizational researchers looking to go beyond the surface in exploring domains such as artificial intelligence, evidence-based decision making, digital platforms & infrastructures, and contemporary business models.’ ‘The Research Handbook on Digital Data offers a comprehensive account of how digital data both shape and are shaped by emerging infrastructures. 24 chapters by leading scholars explore the multifaceted character and implications of digital data, the practices through which it acquires meaning and is used and how it is governed.’ ‘Turn data into value with contemporary information infrastructure like machine learning, neural networks, and digital twins. Balance privacy, governance, regulation, and organization in traditional or circular economies. A heady mix of insight and practical guidance.’