Research handbook on digital data : interdisciplinary perspectives / 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).

Format:

Book

Contributor:

Aaltonen, Aleksi, editor.

Stelmaszak, Marta, editor.

Lyytinen, Kalle, editor.

Edward Elgar Publishing, publisher.

Language:

English

Subjects (All):

Information technology--Handbooks, manuals, etc.

Information technology.

Genre:

Electronic books.

Physical Description:

1 online resource (408 pages)

Place of Publication:

Northampton : Edward Elgar Publishing, 2026.

Summary:

"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"-- Provided by publisher.

Contents:

Contents: 1. Looking through the digital data kaleidoscope: Introduction to the research handbook on digital data / Marta Stelmaszak, Aleksi Aaltonen and Kalle Lyytinen

Part I: Data foundations

2. Boundaries between explicit and tacit knowledge: Data's world / James W. Cortada

3. Data in information infrastructures: Foundations and structuring of socio-economic value / Robin Gustafsson, Robert van der Have, Niko Lipiäinen and Ville Valovirta

4. How datasets become: Data journeys from phenomena to facts / Matthew Jones

Part II: Data design

5. Machine learning and artificial neural networks: Fundamentally new paradigms / Michael L. Brodie

6. Data-driven digital twins / Michael Grieves

7. Is data self-sovereignty possible in a world of data-enabled learning and artificial intelligence? / Ola Henfridsson

8. Data heterogeneity and integration frameworks in modern scientific research / Charles McElroy

9. How design decisions affect data reusability / 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 / Tomislav Karačić and Anastasia V. Sergeeva

11. Can the data subaltern speak? A decolonial perspective on data studies / Silvia Masiero

12. Quousque tandem? A tale of two data work ironies / Elena Parmiggiani

13. Parables of circulating reference / David Ribes, Geoffrey C. Bowker and Eric Monteiro

Part IV: Data governance

14. Balancing interests in digital data governance: Evolving regulatory and organizational approaches / Elizabeth Davidson and Jenifer Sunrise Winter

15. Temporal fragilities in data sharing and data governance / Sirkka L. Jarvenpaa and Anna Essén

16. Data governance - a managerial perspective / Christine Legner and Hippolyte Lefebvre

17. Immutable blockchains, mutable rules: Comparative governance of blockchain-based lending / Mikhail V. Oet and Evelina Kvedaravičiūtė

18. Data governance for AI training: Unlocking medical data for innovation / Angelo Kenneth S. Romasanta and Jonathan D. Wareham

19. User-centric data governance: Transforming education and employment records / Yuqiao Xu, Erman Ayday and Youngjin Yoo

Part V: Data use

20. Synthetic digital data in global finance: Great expectations, what realizations? / Carolina Aguerre, Malcolm Campbell-Verduyn, Marc Lenglet and Edemilson Paraná

21. The nature and development of a planning data ecosystem / Juliette Davret, Carla Maria Kayanan, Rob Kitchin and Samuel Mutter

22. Collaborative distributed machine learning: A path to strengthen data privacy / 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 / Jan Recker and Anne Ixmeier

Part VI: Afterword

24. Somebody really ought to do something about that! / M. Lynne Markus.

Notes:

Description based on print record.

ISBN:

9781035348718 (e-book)

Access Restriction:

Restricted for use by site license.