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The purpose of this paper is to survey how research data are governed at repositories in Japan by deductively establishing a governance typology based on the concept of openness in the context of knowledge commons and empirically assessing the conformity of repositories to each type.

The fuzzy-set ideal type analysis (FSITA) was adopted. For data collection, a manual assessment was conducted with all Japanese research data repositories registered on re3data.org.

The typology constructed in this paper consists of three dimensions: openness to resources (here equal to research data), openness to a community and openness to infrastructure provision. This paper found that there is no case where all dimensions are open, and there are several cases where the resources are closed despite research data repositories being positioned as a basis for open science in Japanese science and technology policy.

This is likely the first construction of the typology and application of FSITA to the study of research data governance based on knowledge commons. The findings of this paper provide practitioners insight into how to govern research data at repositories. The typology serves as a first step for future research on knowledge commons, for example, as a criterion of case selection in conducting in-depth case studies.

This article aims to understand whether and how a digital transformation strategy (DTS) can strengthen the relationship between network organizations and the generation/regeneration of their business network commons (BNC). Further, it investigates the role of the DTS in managing the BNC, a critical source of business network success.

A two-year longitudinal case study of an Italian business network operating in the wine sector was conducted.

This study provides theoretical insights into the digital, sustainable shift of a business network. On combining a network's business strategy and its DTS, digital resources are a key driver to promote BNC regeneration. A DTS undertaken to manage, regenerate and preserve the BNC can positively affect organizational variables, such as participatory architecture, and the network-level organizational integration and can help in preventing opportunistic behaviors affecting the BNC. Moreover, the DTS supports quality and social responsibility.

This study focuses on an Italian case and its findings are hence not generalizable. It would be interesting to study sustainable business networks' digital shift in different socioeconomic contexts as well as in different industry settings.

Network SMEs and other stakeholders (institutions, competitors and consumers) can foster the transition from a “business-as-usual” strategy to a long-term strategy for digitalized management of common resources.

The study is at the intersection of, and contributes to, several research streams. It contributes to the digital transformation literature by adding information on the positive externalities of digitalization in the social and economic environment. It also contributes to the early streams of organizational and managerial literature on the BNC.

This study advances a reconceptualization of data and information which overcomes normative understandings often contained in data policies at national and international levels. This study aims to propose a conceptual framework that moves beyond subject- and collective-centric normative understandings.

To do so, this study discusses the European Union (EU) and China’s approaches to data-driven technologies highlighting their similarities and differences when it comes to the vision underpinning how tech innovation is shaped.

Regardless of the different attention to the subject (the EU) and the collective (China), the normative understandings of technology by both actors remain trapped into a positivist approach that overlooks all that is not and cannot be turned into data, thus hindering the elaboration of a more holistic ecological thinking merging humans and technologies.

Revising the philosophical and political debate on data and data-driven technologies, a third way is elaborated, i.e. federated data as commons. This third way puts the subject as part by default of a collective at the centre of discussion. This framing can serve as the basis for elaborating sociotechnical alternatives when it comes to define and regulate the mash-up of humans and technology.