Data Innovation Sample Clauses
The Data Innovation clause defines how parties may use data generated or collected during the course of their relationship to develop new products, services, or insights. Typically, this clause permits the aggregation, anonymization, or analysis of data, provided that individual identities or confidential information are protected. Its core function is to enable the responsible use of data for innovation while addressing privacy and proprietary concerns.
Data Innovation. 1. The Parties recognise that cross-border data flows and data sharing enable data-driven innovation. The Parties further recognise that innovation may be enhanced within the context of regulatory data sandboxes where data, including personal information,13 is shared amongst businesses in accordance with the Parties’ respective laws and regulations.
2. The Parties also recognise that data sharing mechanisms, such as trusted data sharing frameworks and open licensing agreements, facilitate data sharing and promote its use in the digital environment to:
(a) promote innovation and creativity;
(b) facilitate the diffusion of information, knowledge, technology, culture and the arts; and 13 For greater certainty, this is without prejudice to Article 4.2 (Personal Information Protection).
(c) ▇▇▇▇▇▇ competition and open and efficient markets.
3. The Parties shall endeavour to collaborate on data-sharing projects and mechanisms, and proof of concepts for new uses of data, including data sandboxes, to promote data-driven innovation.
Data Innovation. 1. The Parties recognise that digitalisation and the use of data in the digital economy promote economic growth. To support the cross-border transfer of information by electronic means and promote data-driven innovation in the digital economy, the Parties further recognise the need to create an environment that enables and supports, and is conducive to, experimentation and innovation, including through the use of regulatory sandboxes where applicable.
2. The Parties shall endeavour to support data innovation through:
(a) collaborating on data-sharing projects, including projects involving researchers, academics and industry, using regulatory sandboxes as required to demonstrate the benefits of the cross-border transfer of information by electronic means;
(b) cooperating on the development of policies and standards for data portability; and
(c) sharing research and industry practices related to data innovation.
Data Innovation. 1. The Parties recognise that cross-border data flows and data sharing enable data- driven innovation. The Parties further recognise that innovation can be enhanced within the context of regulatory data sandboxes where data, including personal information (6), is shared between companies in accordance with the Parties' respective laws and regulations.
2. Parties also recognize that data-sharing mechanisms, such as trusted data-sharing frameworks and open licensing agreements, facilitate data sharing and promote the use of data in the digital environment for:
(a) promote innovation and creativity;
(b) facilitate the dissemination of information, knowledge, technology, culture and the arts, and
(c) promoting competition and open and efficient markets.
3. The Parties shall seek to collaborate on data sharing projects and mechanisms, and on proof of concepts for new uses of data, including data sandboxes, to promote data- driven innovation.
Data Innovation. The Parties recognise that an Internet access service supplier that offers its subscribers certain content on an exclusive basis would not be acting contrary to this principle.
Data Innovation. 1. The Parties recognize that digitization and the use of data in the digital economy promote economic growth. To support the cross-border transfer of information by electronic means and promote data-driven innovation in the digital economy, the Parties further recognize the need to create an environment that enables and supports, and is conducive to, experimentation and innovation.
2. The Parties shall endeavor to support data innovation by:
(a) collaboration in data exchange projects, including projects involving researchers, academics and industry;
(b) cooperation in the development of policies and standards for data portability; and
(c) the exchange of research and industry practices related to data innovation.