Data Governance: Enhancing Innovation and Protecting Against Its Risks

Abstract

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European Search? How to counter-imagine and counteract hegemonic search with European search engine projects

“…This supports research showing that ex-post auditing of profiling systems in public sectors (Allhutter et al, 2020) Given that "open is not trivial," as one of my interviewees put it in the context of machine learning, the question is how to open up proprietary data. Data sharing mandates have been discussed in this context as a way to legally force big tech companies to open up their data and share it with societal stakeholders (Grafenstein et al, 2019). Van Dijck (2021a: 2815) refers to the principle of "data sovereignty" in this context, which would give users the ability to control the storage, accessibility, and processing of their own (meta)data.…”

Drivers and Loci of Big Data Innovation: A Review, Synthesis, and Future Research Directions

“…In the simplest scenario, big data serves as a digital raw material that stimulates innovation by its mere presence and (assumed) potential to generate value through "data push innovation" (Trabucchi and Buganza, 2020). From extant literature, sharing in innovation networks appears to be the dominant option for resource push, in which two or more organizations combine their big data to innovate (van den Broek and von Grafenstein et al, 2019), particularly so new or improved business models . As a special case of resource push in networks, sharing occurs according to the triple helix model (Nayar and Nayar, 2014;Xu et al, 2020).…”

“…While sharing "raw" big data is the most frequently depicted strategic option, it simultaneously raises issues of incentives and governance. Particularly in the EU, there are more obstacles to than incentives for sharing big data (von Grafenstein et al, 2019), which forces firms to balance potential gains and compliance with data protection legislation. Big data governance is hence highly dependent on regulatory pressures (van den Broek and van Veenstra, 2018), which clearly frames big data innovation with institutional theory (Scott, 2014) and isomorphic pressures to comply with the rules and beliefs prevailing in the environment.…”

DP 0265 - Brazilian Maritime Gdp, Social, Economic and Environmental Motivations for its Measurement and Monitoring

“…The increased volume of data available through new technologies -such as big data and Internet of Things (IoT) -brings new possibilities, but also new risks and challenges. Thus, it becomes paramount to possess knowledge through data and information, increasingly strategic assets for the development, monitoring, and updating of public policies (Haucap, 2019;Grafenstein, Wernick and Olk, 2019;Brasil, 2020a). The perspective presented, therefore, ratifies the importance 12.…”