As a
metaphor and as a
complex system, the notion of 'datasphere' is approaching a highly complex digital ecosystem and, overall, addresses the question of the type of
society we want to build.
Datasphere as a spatial metaphor The term 'datasphere' is used as a spatial metaphor. For instance, it was adopted by the GEODE Center, a research and training center that studies "the strategic and geopolitical issues of the digital revolution". The GEODE's objective is twofold. On one hand, it seeks to study the datasphere as a geopolitical "object in its own right". where there is not only a focus on regional approaches to the digital space, data flows, logical and physical routes, and social networks, but also to the power distribution across geographies. Both Floridi through which public institutions are arguably grounded, albeit more shakily so as expansion of an unregulated datasphere undermines classical institutions authority and effectiveness. As the datasphere seems to be more and more perceived as an
ecosystem and space we inhabit, new collective
data governance frameworks have also arisen across the globe. These frameworks might replicate some datasphere elements in their design systems. For example, new
governance tools such as
data commons, data trusts, cooperatives,
collaboratives, data pools, among others can all be tools used to navigate the datasphere and do so collectively – thus enhancing its complexity –. The datasphere could also be understood as a natural
ecosystem. Just as it happens in
nature – where energy flows and there is an ongoing cycle among ecosystems – the datasphere is an ecosystem where fast-paced and complex data flows.
Governance efforts are nowadays focusing on leveraging free data flows while ensuring the protection of different human groups. As much as data flows naturally, innovative rules are needed to allow for the cycles to flow and guarantee that the environment as a whole and its sub-systems are protected. The notion of datasphere is related to that of
cyberspace, which describes a widespread interconnected
digital technology. The datasphere encompasses the notion of cyberspace, while adding layers of complexity, namely human groups and norms. In addition, the datasphere does not only consider digital technologies, but the different data flows produced in a
hyperconnected society.
Datasphere as a complex system The datasphere, according to the Datasphere Initiative, was first conceptualized in the paper "We Need To Talk About Data: Framing the Debate Around the Free Flow of Data and Data Sovereignty" by Bertrand De La Chapelle and Lorrayne Porciuncula (2021). The Datasphere Initiative has since coined the datasphere "as the complex system encompassing all types of data and their dynamic interactions with human groups and norms". •
Human groups: "Individuals and human groups of all sorts generate, collect, store, process, exchange, make accessible or access, analyze, and use data for various purposes." •
Norms: Cultural, legal, and
technical norms "including high-level principles, international agreements, laws and regulatory frameworks, but also contracts, licenses or terms of service, and even code, standards, and software underpinning technical systems (including that of supporting infrastructures)." The Datasphere Initiative's definition of the datasphere seeks to find connections between contexts and look for
policy and
governance strategies that may not arise from a focus on embedded local contexts. The concept of human groups, for example, implicitly points to groups that are potentially co-constituted by data infrastructures, and may exist across conventional boundaries of geography and polity. A recognition of both global norms, and a global plurality of norms, calls for governance approaches that have appropriate levels of flexibility and adaptability. The model implies governance of one interconnected datasphere, not many isolated instances. Just as it can be discussed of the
atmosphere, and some local atmospheric conditions, it can be talked about the datasphere, and of how it is experienced quite differently in different spaces and settings: :"The Datasphere (...) is a
complex adaptive system, exhibiting the well-documented characteristics of such systems, including: a large number of interconnected agents, non-linear impacts of their actions, positive and negative feedback loops, unintended consequences, structural unpredictability, emergence and path dependencies." == Current issues related to the datasphere ==