Abstract

Purpose This paper aims to spark a debate by presenting the need for developing data ecosystems in Europe that meet the social and public good while committing to democratic and ethical standards; suggesting a taxonomy of data infrastructures and institutions to support this need; using the case study of Barcelona as the flagship city trailblazing a critical policy agenda of smart cities to show the limitations and contradictions of the current state of affairs; and ultimately, proposing a preliminary roadmap for institutional and governance empowerment that could enable effective data ecosystems in Europe. Design/methodology/approach This paper draws on lessons learned in previous publications available in the sustainability (Calzada, 2018), regions (Calzada and Cowie, 2017; Calzada, 2019), Zenodo (Calzada and Almirall, 2019), RSA Journal (Calzada, 2019) and IJIS (Calzada, 2020) journals and ongoing and updated fieldwork about the Barcelona case study stemming from an intensive fieldwork action research that started in 2017. The methodology used in these publications was based on the mixed-method technique of triangulation via action research encompassing in-depth interviews, direct participation in policy events and desk research. The case study was identified as the most effective methodology. Findings This paper, drawing from lessons learned from the Barcelona case study, elucidates on the need to establish pan-European data infrastructures and institutions – collectively data ecosystems – to protect citizens’ digital rights in European cities and regions. The paper reveals three main priorities proposing a preliminary roadmap for local and regional governments, namely, advocacy, suggesting the need for city and regional networks; governance, requiring guidance and applied, neutral and non-partisan research in policy; and pan-European agencies, leading and mobilising data infrastructures and institutions at the European level. Research limitations/implications From the very beginning, this paper acknowledges its ambition, and thus its limitations and clarifies its attempt to provide just an overview rather than a deep research analysis. This paper presents several research limitations and implications regarding the scope. The paper starts by presenting the need for data ecosystems, then structures this need through two taxonomies, all illustrated through the Barcelona case study and finally, concludes with a roadmap consisting of three priorities. The paper uses previous published and ongoing fieldwork findings in Barcelona as a way to lead, and thus encourage the proliferation of more cases through Cities Coalition for Digital Rights (CCDR). Practical implications This paper presents practical implications for local and regional authorities of the CCDR network. As such, the main three priorities of the preliminary roadmap could help those European cities and regions already part of the CCDR network to establish and build operational data ecosystems by establishing a comprehensive pan-European policy from the bottom-up that aligns with the timely policy developments advocated by the European Commission. This paper can inspire policymakers by providing guidelines to better coordinate among a diverse set of cities and regions in Europe. Social implications The leading data governance models worldwide from China and the USA and the advent of Big Data are dramatically reshaping citizens’ relationship with data. Against this backdrop and directly influenced by the General Data Protection Regulation (GDPR), Europe has, perhaps, for the first time, spoken with its own voice by blending data and smart city research and policy formulations. Inquiries and emerging insights into the potential urban experiments on data ecosystems, consisting of data infrastructures and institutions operating in European cities and regions, become increasingly crucial. Thus, the main social implications are for those multi-stakeholder policy schemes already operating in European cities and regions. Originality/value In previous research, data ecosystems were not directly related to digital rights amidst the global digital geopolitical context and, more specifically, were not connected to the two taxonomies (on data infrastructures and institutions) that could be directly applied to a case study, like the one presented about Barcelona. Thus, this paper shows novelty and originality by also opening up (based on previous fieldwork action research) a way to take strategic action to establish a pan-European strategy among cities and regions through three specific priorities. This paper can ultimately support practice and lead to new research and policy avenues.

Highlights

  • The 21st century can be characterised as the century of data (Friis-Christensen and Triaille, 2019; Kitchin et al, 2018)

  • This phenomenon has led to new consequences – such as hyper-targeting through data analytics, facial recognition and individual profiling – received by many with both helplessness and threat and resulting in not-so-desirable outcomes such as massive manipulation and control via a surveillance capitalism push in the USA (Zuboff, 2019) and the social credit systems in China (Ahmed, 2018; Creemers, 2018; Kotska, 2019). These societal concerns raised a debate in Europe that crystalised into the general data protection regulation (GDPR) coming into force in May 2018 after four years of debate. The emergence of this new phenomenon has spurred a call to action for cities and regions in the European Union (EU), establishing the need to map out the techno-political debate on datafication or dataism (Calzada, 2019b)

  • The conclusion of this paper revolves around the evidence that local digital policies are no longer local, in neither their objectives nor their instruments for implementing data infrastructures and institutions

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Summary

Introduction

The 21st century can be characterised as the century of data (Friis-Christensen and Triaille, 2019; Kitchin et al, 2018). The lack of opaque politics concerning the most sophisticated technology such as deep learning and its increasing use in cities, in very visible tasks such as facial recognition, has resulted in a push for more regulation and algorithmic transparency Against this European backdrop, data ecosystems are operationally defined in this paper as the overarching data policy framework that comprises: four types of data infrastructures (political artefact, asset, process and network) that need to be enabled through; and four functions (guidance, advocacy, operationalisation and exploitation) accomplished by data institutions that create dynamics, which mobilise these infrastructures to become a real and transformative driver of change. A political artefact that infuses societal values into public opinion; an asset that has value on its own; Four types

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Operationalise Exploitation
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