The trusted use of data is the foundation of a vibrant Digital Economy, and trusted data flows have the potential to deliver tremendous benefits to both organisations and consumers. For organisations, it facilitates more effective information exchanges, and enables shared data assets (e.g. between business partners) to support the development of innovative solutions, to customise services and processes for different market segments. For consumers, their willingness to share their data with organisations reflects the amount of confidence they have in an organisation’s ability to use and safeguard data. The intent of the Framework is that with stronger safeguards and clarity on regulatory compliance, consumers will be more ready to share their data and consequently benefit from more personalised goods and services.
To facilitate and support businesses in their development and adoption of Artificial Intelligence (AI) and Data projects to create/uncover new value for themselves, partners and/or customers. Any businesses interested in harnessing value of data, sharing of data, develop AI solutions or adopting AI can refer to the following programmes and guides.
Data Collaborative Programme
Data service intermediaries, i.e. companies that offer platform or services to enable exchanges of data, can participate in the Data Collaborative Programme
Startup Station Singapore
Startups that are innovating with Data and AI may check out Startup Station Singapore, a joint programme by IMDA and Facebook, to provide start-ups with mentorship and guidance for their businesses. Recruitment of Season 1 has closed and interested startups can look forward to Season 2 at end of 2019.
SME Digital Tech Hub
SMEs interested to harness the value of data and adopt AI to improve efficiency of businesses and generate new business value, can approach SME Digital Tech Hub
Trusted Data Sharing Framework
Businesses or individuals who wish to understand data sharing concepts or key considerations when planning data partnerships can refer to the Trusted Data Sharing Framework (4.42MB)
Access the templates and resources reference by Trusted Data Sharing Framework here:
Legal Templates for Data Sharing:
Guide to Data Valuation for Data Sharing
Businesses can establish common baseline for valuing data to be shared using Guide to Data Valuation for Data Sharing (2.03MB)
Personal Data Protection Act
Businesses planning to share personal data within and between companies, can refer to the Personal Data Protection Act (PDPA) and the Advisory Guidelines published by the Personal Data Protection Commission (PDPC).
AI Governance Framework
AI solution providers and businesses keen to find out more about AI Governance, can refer to the Proposed Model AI Governance Framework.
Companies can also write in to Contact_DIPO@imda.gov.sg, or approach an IMDA Data Innovation Programme Office (DIPO) officer for discussion.