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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.
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
Contents1 Looking through the digital data kaleidoscope: introduction to theResearch Handbook on Digital Data 1Marta Stelmaszak, Aleksi Aaltonen and Kalle LyytinenPART I DATA FOUNDATIONS2 Boundaries between explicit and tacit knowledge: data’s world 20James W. Cortada3 Data in information infrastructures: foundations and structuring of socio-economic value 37Robin Gustafsson, Robert van der Have, Niko Lipiäinen and Ville Valovirta4 How datasets become: data journeys from phenomena to facts 57Matthew JonesPART II DATA DESIGN5 Machine learning and artificial neural networks: fundamentally newparadigms 72Michael L. Brodie6 Data-driven digital twins 89Michael Grieves7 Is data self-sovereignty possible in a world of data-enabled learning andartificial intelligence? 108Ola Henfridsson8 Data heterogeneity and integration frameworks in modern scientificresearch 115Charles McElroy9 How design decisions affect data reusability 130Jeffrey Parsons, Shawn Ogunseye, Aida Nouri, Ryan J. A. Murphy andRoman LukyanenkoPART III DATA IN PRACTICE10 Organizing for data: how digital data imaginaries reconfigureorganizations 150Tomislav Karačić and Anastasia V. Sergeeva11 Can the data subaltern speak? A decolonial perspective on data studies 162Silvia Masiero12 Quousque tandem? A tale of two data work ironies 177Elena Parmiggiani13 Parables of circulating reference 191David Ribes, Geoffrey C. Bowker and Eric MonteiroPART IV DATA GOVERNANCE14 Balancing interests in digital data governance: evolving regulatory andorganizational approaches 203Elizabeth Davidson and Jenifer Sunrise Winter15 Temporal fragilities in data sharing and data governance 218Sirkka L. Jarvenpaa and Anna Essén16 Data governance – a managerial perspective 233Christine Legner and Hippolyte Lefebvre17 Immutable blockchains, mutable rules: comparative governance ofblockchain-based lending 252Mikhail V. Oet and Evelina Kvedaravičiūtė18 Data governance for AI training: unlocking medical data for innovation 280Angelo Kenneth S. Romasanta and Jonathan D. Wareham19 User-centric data governance: transforming education and employmentrecords 297Yuqiao Xu, Erman Ayday and Youngjin YooPART V DATA USE20 Synthetic digital data in global finance: great expectations, whatrealizations? 310Carolina Aguerre, Malcolm Campbell-Verduyn, Marc Lenglet andEdemilson Paraná21 The nature and development of a planning data ecosystem 324Juliette Davret, Carla Maria Kayanan, Rob Kitchin and Samuel Mutter22 Collaborative distributed machine learning: a path to strengthen dataprivacy 340Sascha Rank, David Jin, Niclas Kannengießer and Ali Sunyaev23 Using digital data to shadow physical products in the context of a circulareconomy: digital watermarks and the HolyGrail 2.0 initiative 355Jan Recker and Anne IxmeierPART VI AFTERWORD24 Somebody really ought to do something about that! 371M. Lynne Markus
‘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.’