Grupa robocza EPP




Main concerns: 

– In the DSM strategy the Commission recognised the importance of the data economy. Data technologies and services that can be used for the collection, processing, storage of data, transfering, using and re-using of the data (e.g. cloud computing, big data, the Internet of Things) – are essential factors of progress in the new era of digitalisation;

– Huge amounts of data is created by people or generated mechanically, but challenges like ownership, data protection and standards need to be addressed;

  • In our increasingly connected world, access to information is becoming more and more important, not just for businesses that solely operate on the Internet, but for traditional companies as well. But all too often, countries are pursuing barriers to trade and innovation because it is advantageous to do so in the short term, despite the long-term negative economic effects. This strategy ignores the harmful effects that barriers to the free flow of data have on the global economy.
  • It is time for the international community to recognize the importance of cross-border data flows, and for the UE to lead efforts to establish multilateral agreements on the storage of and access to data.

 

– the DSM strategy committed the Commission to propose a European ‘Free flow of data’ initiative to tackle restrictions on the free movement of data within the EU and unjustified restrictions on the location of data for storage or processing purposes.

– In addition, the EC initiative: address the emerging issues of ownership, interoperability, usability and access to data in situations such as business-to-business, business to consumer, machine generated and machine-to-machine data. It will encourage access to public data to help drive innovation;

– The economic and social benefits resulting from this data explosion are multiplex, with stakeholders in every sector and country beneficiaries;

– Sharing data across national borders allows governments to better deliver services to their citizens, from smarter energy to cleaner air. And it lets individuals benefit from these innovations and participate in the global economy in previously impossible ways;

– Machine-to-machine technologies let fleet operators see how best to deploy their vehicles to save money. Intelligent transportation systems alleviate traffic jams and reduce flight delays, sparing time and fuel, smart water systems to reduce leaks by up to % to conserve water. Doctors use connected pacemakers and other medical devices to send emergency alarms and save lives;

– Unfortunately, as the global economy has gone digital, countries around the world have started engaging in new forms of protectionism to restrict the flow of data across borders. Some are implementing policies such as data-residency requirements to buffer domestic technology providers from international competition, among other purposes. Some dismiss data protectionism as a narrow issue affecting only the technology sector;

– The restrictions are often counterproductive. Mandating business use of locally-provided services, locally- generated content, or locally-manufactured equipment has an appealing sound. But that means local businesses and governments might not be able to leverage the economic and social benefits of data flows and find themselves unable to access cloud services, Internet-connected machines, or content produced through online collaborations with trading partners.

– however, its impact is actually far-reaching because companies in nearly every sector of the modern economy depend on data driven innovations to do business; Companies of all types and sizes are sharing in the benefits of data innovation, but somehow we can discover the Data Protectionism model.

 

Data protectionism—government-imposed restrictions on cross-border data flows—

threatens not just the productivity, innovation, and competiveness of tech companies. In today’s global economy, it is common for businesses to process data from customers, suppliers, and employees outside the company’s home country. Data protectionism makes such data processing much more difficult, if not impossible. Moreover, to the extent that data localization policies require businesses to build out physical infrastructure in every jurisdiction in which they operate, these impositions increase costs, raising prices for consumers and reducing the international competiveness.

  • To avoid these consequences, now it is a time to encourage a dialogue to address these issues and maximize the value of cross-border information flows. We all agree privacy and data security are paramount concerns.

SOME KEY INDICATORS FOR GOVERNMENTS :

– Governments contemplating regulations, legislation, or trade agreements affecting data flow should act with certain principles in mind:

  1. A) Policies should be carefully crafted and narrow in scope,
  1. B) The process should address conflicts of interest that may arise between different jurisdictions, evaluate the full costs and benefits of the proposals, and seek input from the private sector well in advance of any changes,
  2. C) Similarly, a clear separation of roles and responsibilities in the data processing chain is needed. It is vital to companies to have clear rules for data protection – that protect individual rights, builds trust, and also opens for data driven innovation through big-data, cloud services, and open data flows within and outside of the EU;

AT THE END:

– It is important to stress that half of the EU Member States on 25th May called for the removal of barriers to the free flow of data both within and outside the 28-nation bloc to ensure the continent can benefit from new data-driven technologies and to make sure regulation is not a barrier to the development of data-driven technologies;