19/09/2019 - Government Policies

KEY POINTS

·        This explosion of data holds vast potential to boost innovation, productivity, and ultimately economic growth and social value.

·        Governments, especially city administrations, need to explore options to monetize the data, both structured and raw, so as to create revenue sources that would help cities become self-sustainable.

·        It is especially important for India, as cities are trying to optimize their urban service delivery by implementing integrated Pan City Smart Solutions under the Smart Cities Mission by generating huge volumes of data.

·        Depending on the size of a city, its population and infrastructure, the opportunities for data monetization could be enormous. Data monetizing platforms (DMPs) can be created at city levels in India by integrating various data sources.

·        These DMPs can act as data markets for the exchange of processed and analysed data. For example, any data related to the environment or traffic may be useful for a research scholar, who could avail of it via the platform by paying a nominal amount.

·        Similarly, geo-spatial data related to utilities will be useful to planners and developers, who would be willing to pay a premium for such data.

·        Analytic firms and app developers can use raw city data to create applications and analytics, which can be used for business development.

·        A state-of-the-art data warehouse and archive with online analytical processing capabilities could be created. This integrated repository of data will encompass data generated by various departments.

·        Keeping in view the competence required in terms of analytics and marketing, it is essential to have a Data Monetizing Agency (DMA), to be selected through a competitive bidding process.

·        Data prices should depend on the category of information. Some of the open-source data can be free of cost, whereas registered-source data can be charged.

·        The charges should keep in view the overall business model of the DMA and its sustainability over a pre-defined period. The government may have the right to collect a share of revenues, depending on the profitability of the system.

·        It is important to address privacy issues related to data before setting up DMPs. India is moving towards having a comprehensive data protection law.

·        City governments, as data fiduciaries, should lay down appropriate policies and safeguards to ensure that the rights of citizens (as data principals) are protected with regard to personal data, in consonance with existing laws.

·        The proposed Personal Data Protection Bill provides for some exemptions for the processing of personal data for research and statistical purposes. Data anonymization must be done prior to offering data on city platforms.

·        The objective of the policy and regulatory framework should be to facilitate access to anonymized and aggregated non-personal urban data and information in both human- and machine-readable forms. The policy should pay particular attention to the overall readiness for such initiatives.

Kindly review..thank you

KEY POINTS

·        This explosion of data holds vast potential to boost innovation, productivity, and ultimately economic growth and social value.

·        Governments, especially city administrations, need to explore options to monetize the data, both structured and raw, so as to create revenue sources that would help cities become self-sustainable.

·        It is especially important for India, as cities are trying to optimize their urban service delivery by implementing integrated Pan City Smart Solutions under the Smart Cities Mission by generating huge volumes of data.

·        Depending on the size of a city, its population and infrastructure, the opportunities for data monetization could be enormous. Data monetizing platforms (DMPs) can be created at city levels in India by integrating various data sources.

·        These DMPs can act as data markets for the exchange of processed and analysed data. For example, any data related to the environment or traffic may be useful for a research scholar, who could avail of it via the platform by paying a nominal amount.

·        Similarly, geo-spatial data related to utilities will be useful to planners and developers, who would be willing to pay a premium for such data.

·        Analytic firms and app developers can use raw city data to create applications and analytics, which can be used for business development.

·        A state-of-the-art data warehouse and archive with online analytical processing capabilities could be created. This integrated repository of data will encompass data generated by various departments.

·        Keeping in view the competence required in terms of analytics and marketing, it is essential to have a Data Monetizing Agency (DMA), to be selected through a competitive bidding process.

·        Data prices should depend on the category of information. Some of the open-source data can be free of cost, whereas registered-source data can be charged.

·        The charges should keep in view the overall business model of the DMA and its sustainability over a pre-defined period. The government may have the right to collect a share of revenues, depending on the profitability of the system.

·        It is important to address privacy issues related to data before setting up DMPs. India is moving towards having a comprehensive data protection law.

·        City governments, as data fiduciaries, should lay down appropriate policies and safeguards to ensure that the rights of citizens (as data principals) are protected with regard to personal data, in consonance with existing laws.

·        The proposed Personal Data Protection Bill provides for some exemptions for the processing of personal data for research and statistical purposes. Data anonymization must be done prior to offering data on city platforms.

Kindly review thank you

Kindly review...........thank youU