Data Rules

“Data Rules offers a nuanced, social, and historically informed perspective, which is crucial for understanding how the underlying data structures and practices shape AI systems and their applications.”—AI & Society“Given the increasing prevalence of data, this is an important call to action for any management scholars who are studying digital phenomena. We should all care more about data.”—R&D Management“Most of the literature views “digital data” or “big data” solely as a foundation for artificial intelligence and natural language processing, a predicate rather than a subject, a supporting actor rather than a central player in the evolutionary processes driving progress in social and cognitive science. In Data Rules, the authors explore a new analytical framework, combining insights from information science and studies of organizational structures and processes, placing data at the center of their narrative.”—Choice“[Data Rules] balances historical context, theoretical insight, and contemporary examples, making it a useful resource for interdisciplinary readers.”—Journal of Telecommunications and the Digital Economy“Over the years much has been written about digital data in analytically loose ways. Against this backdrop, Data Rules is a standout—it not only provides a sharp definition of data but also a compelling analytical framework for studying them. All in all, Data Rules is a brave and compelling work.”—The Information Society

Cristina Alaimo is Assistant Professor (Research) of Digital Economy and Society at LUISS University, Rome.

Jannis Kallinikos is Full Professor of Organization Studies and the CISCO Chair in Digital Transformation and Data Driven Innovation at LUISS University, Rome.