Towards a Taxonomy of Ecosystem Data Governance

Abstract

Despite being in competitive relations, organizations increasingly engage in data-centric collaborations to utilize access and provision to distributed data sources. Over time, these relations have evolved from dyadic relationships to the emergence of complex ecosystems. These ecosystems are characterized by multiple autonomous organizations that engage in data sharing to leverage data-driven innovation. For value propositions based on data to materialize, the configuration of data governance can provide fundamental control mechanisms that influence the design, dynamics and success of the collaboration. In the context of ecosystems, data governance is considered an under-researched topic. This paper investigates both concepts and identifies the main conceptual characteristics of ecosystem data governance. We develop a taxonomy of ecosystem data governance that comprises eight dimensions and twenty four characteristics to improve the conceptual understanding of data governance in data ecosystems.

Digital Transformation Framework for Facility Management based on Building Information Modelling

“…Several authors advocate that it is because data is not valued or seen as an asset. [77][78][79]. DG is only partially existing in construction (compare the surveys of 75,80).…”

“…These interorganizational settings include networks, ecosystems of firms and platforms, with the settings of these are shaped by customers, vendors, collaborators, and other business partners [76,84]. [78] (p 6067) highlights that "over time, these relations have evolved from dyadic relationships to the emergence of complex ecosystems". This also applies to a significant extent to the construction industry, which, like a data ecosystem, is characterized by the presence of a "socio-technical complex networks in which actors interact and collaborate with each other to find, archive, publish, consume, or reuse data as well as to foster innovation, create value, and support new businesses", as stated by [85] (p 589).The consistent applicability of DG in the construction industry is another essential step to allow further growth in terms of digital issues, as already proposed by [70].…”

Mobility Data Products for Smart City Ecosystems - A Greenhouse Gas Balancing Case Study

“…However, the consideration of data governance in the sense of sharing data products among multiple actors in ecosystems is still immature (Lis and Otto 2020). Existing concepts do not provide satisfactory detail when clarifying evolving systems with complex interactions where the balance of control and authority in terms of data is uncertain (Lis and Otto 2021). A data ecosystem is characterized by the interaction of several actors who directly or indirectly use, generate or provide data and other related resources (Otto and Jarke 2019).…”

“…A data ecosystem is characterized by the interaction of several actors who directly or indirectly use, generate or provide data and other related resources (Otto and Jarke 2019). Interaction creates new forms of organization that are not only beneficial to the individual member, but to the system as a whole, value propositions can be realized through innovative data products (Lis and Otto 2021).…”

Academic Institutions in Multilateral Data Governance: Emerging Arrangements for Negotiating Risk, Value and Ethics in the Big Data Economy

“…Roles like data steward, data owner and data custodian are tightly linked to how a particular organisation stores its data, what it identifies as key data assets and how it aligns its data practices with its particular domain of economic activity. Instead, data sharing across organisational entities necessitates a different arrangement, which puts the organisations participating in the data sharing partnership themselves in key roles like that of data stewardship, or associated functions related to the ethical use or risk management of data (Lis & Otto 2021).…”