CASE STUDY
Data Sharing in an National Context
singapore: Trusted data SHaring framework
EXPLORE
GOVERNANCE
Governance
The framework clarifies how data sharing should be governed at the national level, setting out roles, responsibilities, and accountability across the data-sharing lifecycle. It provides guidance on legal and organisational arrangements, including the use of formal agreements to manage risk, responsibility, and oversight among data providers, data users, and intermediary service providers.
APPLICATION
Data Availability, Standards, Quality & Interoperability
Human & Institutional Capacity
Technological Capacity
Rather than mandating a single model, the framework balances clarity with flexibility. This reduces legal uncertainty while allowing data-sharing arrangements to be adapted to different sectors, use cases, and levels of organisational maturity.
KEY TAKEAWAY
Stakeholder Engagement
DATA AVAILABILITY, STANDARDS, QUALITY & INTEROPERABILITY
Governance
APPLICATION
The framework emphasises the importance of data readiness prior to sharing. Organisations are encouraged to assess the relevance, value, and limitations of their data, supported by appropriate documentation and metadata. Attention is given to data classification and fitness for purpose to ensure shared data can be interpreted and reused responsibly.
Data Availability, Standards, Quality & Interoperability
Human & Institutional Capacity
Technological Capacity
KEY TAKEAWAY
By linking data availability explicitly to documentation and quality considerations, the framework reinforces that access alone is insufficient. Clear metadata practices and alignment on standards help ensure that shared data can be understood and used consistently across organisations.
Stakeholder Engagement
HUMAN & INSTITUTIONAL CAPACITY
Governance
APPLICATION
The framework is designed as a practical guidance tool for organisations at different stages of data maturity. It supports capacity development by helping institutions understand legal obligations, partnership models, data valuation, and operational considerations involved in data sharing.
Data Availability, Standards, Quality & Interoperability
Human & Institutional Capacity
Capacity building is treated as a prerequisite for trust. It is embedded through structured guidance rather than stand-alone training. By providing a shared vocabulary and clear decision pathways, the framework advocates for strengthening institutional confidence and supports more consistent data-sharing practices over time.
Technological Capacity
KEY TAKEAWAY
Stakeholder Engagement
TECHNOLOGICAL CAPACITY
Governance
APPLICATION
The framework recognises multiple technical modes for data sharing, including APIs, secure file transfer, and platform-based exchanges. It emphasises that technical choices should be aligned with data sensitivity, scale, and intended use, rather than prescribing specific solutions.
Data Availability, Standards, Quality & Interoperability
Human & InstitutionalCapacity
Technological Capacity
Technology is treated as an enabler rather than a driver of data sharing. By situating technical options alongside governance and risk considerations, the framework supports proportionate, secure, and interoperable implementation.
KEY TAKEAWAY
Stakeholder Engagement
STAKEHOLDER ENGAGEMENT
Governance
APPLICATION
The framework defines a broad data sharing ecosystem involving various roles: Data Providers, Data Consumers, Authorities (regulators), and Data Service Providers. It encourages organizations to assess their entire value chain to identify potential stakeholders—such as combining data from credit card providers with goods manufacturers—to create new insights.
Data Availability, Standards, Quality & Interoperability
Human & Institutional Capacity
Technological Capacity
By explicitly addressing incentives and risk perceptions, the framework recognises that participation depends on clarity around benefits, responsibilities, and safeguards. This supports a gradual culture shift in which data sharing is viewed as a strategic activity rather than a compliance obligation.
KEY TAKEAWAY
Stakeholder Engagement
L3_NATIONAL_CASE STUDY
UNSSC
Created on February 24, 2026
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Transcript
CASE STUDY
Data Sharing in an National Context
singapore: Trusted data SHaring framework
EXPLORE
GOVERNANCE
Governance
The framework clarifies how data sharing should be governed at the national level, setting out roles, responsibilities, and accountability across the data-sharing lifecycle. It provides guidance on legal and organisational arrangements, including the use of formal agreements to manage risk, responsibility, and oversight among data providers, data users, and intermediary service providers.
APPLICATION
Data Availability, Standards, Quality & Interoperability
Human & Institutional Capacity
Technological Capacity
Rather than mandating a single model, the framework balances clarity with flexibility. This reduces legal uncertainty while allowing data-sharing arrangements to be adapted to different sectors, use cases, and levels of organisational maturity.
KEY TAKEAWAY
Stakeholder Engagement
DATA AVAILABILITY, STANDARDS, QUALITY & INTEROPERABILITY
Governance
APPLICATION
The framework emphasises the importance of data readiness prior to sharing. Organisations are encouraged to assess the relevance, value, and limitations of their data, supported by appropriate documentation and metadata. Attention is given to data classification and fitness for purpose to ensure shared data can be interpreted and reused responsibly.
Data Availability, Standards, Quality & Interoperability
Human & Institutional Capacity
Technological Capacity
KEY TAKEAWAY
By linking data availability explicitly to documentation and quality considerations, the framework reinforces that access alone is insufficient. Clear metadata practices and alignment on standards help ensure that shared data can be understood and used consistently across organisations.
Stakeholder Engagement
HUMAN & INSTITUTIONAL CAPACITY
Governance
APPLICATION
The framework is designed as a practical guidance tool for organisations at different stages of data maturity. It supports capacity development by helping institutions understand legal obligations, partnership models, data valuation, and operational considerations involved in data sharing.
Data Availability, Standards, Quality & Interoperability
Human & Institutional Capacity
Capacity building is treated as a prerequisite for trust. It is embedded through structured guidance rather than stand-alone training. By providing a shared vocabulary and clear decision pathways, the framework advocates for strengthening institutional confidence and supports more consistent data-sharing practices over time.
Technological Capacity
KEY TAKEAWAY
Stakeholder Engagement
TECHNOLOGICAL CAPACITY
Governance
APPLICATION
The framework recognises multiple technical modes for data sharing, including APIs, secure file transfer, and platform-based exchanges. It emphasises that technical choices should be aligned with data sensitivity, scale, and intended use, rather than prescribing specific solutions.
Data Availability, Standards, Quality & Interoperability
Human & InstitutionalCapacity
Technological Capacity
Technology is treated as an enabler rather than a driver of data sharing. By situating technical options alongside governance and risk considerations, the framework supports proportionate, secure, and interoperable implementation.
KEY TAKEAWAY
Stakeholder Engagement
STAKEHOLDER ENGAGEMENT
Governance
APPLICATION
The framework defines a broad data sharing ecosystem involving various roles: Data Providers, Data Consumers, Authorities (regulators), and Data Service Providers. It encourages organizations to assess their entire value chain to identify potential stakeholders—such as combining data from credit card providers with goods manufacturers—to create new insights.
Data Availability, Standards, Quality & Interoperability
Human & Institutional Capacity
Technological Capacity
By explicitly addressing incentives and risk perceptions, the framework recognises that participation depends on clarity around benefits, responsibilities, and safeguards. This supports a gradual culture shift in which data sharing is viewed as a strategic activity rather than a compliance obligation.
KEY TAKEAWAY
Stakeholder Engagement