2019Urban ScienceOpen access

City Data Plan: The Conceptualisation of a Policy Instrument for Data Governance in Smart Cities

Lucia Lupi

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Abstract

This paper presents the conceptualisation of the City Data Plan, a data governance policy instrument intended to connect the production and use of urban data in a comprehensive and evolutive long-term strategy aligned with city development goals. The concept of the City Data Plan had been elaborated by taking into account current issues related to privacy and manipulation of data in smart city. The methodological approach adopted to define the nature of a City Data Plan is grounded on the conceptual and empirical parallelism with corporate data governance plans and general urban plans, respectively aimed to regulate decision-making powers and actions on data in enterprise contexts, and the interests of local stakeholders in the access and use of urban resources. The result of this analytic process is the formulation of the outline of a City Data Plan as a data governance policy instrument to support the iterative negotiation between the instances of data producers and data users for instantiating shared smart city visions. The conceptualisation of the City Data Plan includes a description of the multi-stakeholder organisational structures for the city data governance, cooperation protocols and decision areas, responsibilities assignments, components of the plan and its implementation mechanisms.

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This paper presents the conceptualisation of the City Data Plan, a data governance policy instrument intended to connect the production and use of urban data in a comprehensive and evolutive long-term strategy aligned with city development goals. The concept of the City Data Plan had been elaborated by taking into account current issues related to privacy and manipulation of data in smart city. The methodological approach adopted to define the nature of a City Data Plan is grounded on the conceptual and empirical parallelism with corporate data governance plans and general urban plans, respectively aimed to regulate decision-making powers and actions on data in enterprise contexts, and the interests of local stakeholders in the access and use of urban resources. The result of this analytic process is the formulation of the outline of a City Data Plan as a data governance policy instrument to support the iterative negotiation between the instances of data producers and data users for instantiating shared smart city visions. The conceptualisation of the City Data Plan includes a description of the multi-stakeholder organisational structures for the city data governance, cooperation protocols and decision areas, responsibilities assignments, components of the plan and its implementation mechanisms.

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Available abstract

This paper presents the conceptualisation of the City Data Plan, a data governance policy instrument intended to connect the production and use of urban data in a comprehensive and evolutive long-term strategy aligned with city development goals. The concept of the City Data Plan had been elaborated by taking into account current issues related to privacy and manipulation of data in smart city. The methodological approach adopted to define the nature of a City Data Plan is grounded on the conceptual and empirical parallelism with corporate data governance plans and general urban plans, respectively aimed to regulate decision-making powers and actions on data in enterprise contexts, and the interests of local stakeholders in the access and use of urban resources. The result of this analytic process is the formulation of the outline of a City Data Plan as a data governance policy instrument to support the iterative negotiation between the instances of data producers and data users for instantiating shared smart city visions. The conceptualisation of the City Data Plan includes a description of the multi-stakeholder organisational structures for the city data governance, cooperation protocols and decision areas, responsibilities assignments, components of the plan and its implementation mechanisms.

Key concepts: Data governance, Plan (archaeology), Smart city, Vision, Corporate governance, Stakeholder, Negotiation, Process management

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