🔄Data Sharing

NEW

Also known as: Data Exchange

The controlled provision or exchange of data between teams, systems, or organizations for legitimate, authorized use.

DESCRIPTION

Data sharing enables collaboration and reuse by making data available in a secure, governed manner. Sharing can be internal or external, and may use APIs, data marketplaces, or platform-native features. Proper agreements define purpose, licensing, and responsibilities. Privacy and compliance requirements drive consent, minimization, and auditing. Technically, fine-grained access and data contracts protect consumers. Effective sharing accelerates value creation and reduces duplication.

ALTERNATIVE DEFINITIONS

Wikipedia

Data sharing is the practice of making data used for scholarly research available to other investigators.

Focuses on research contexts; illustrates core concept of making data available to others.

Source

NIH

Data sharing is the practice of making data available to other researchers for use and reuse.

Emphasizes reuse by others and research community norms.

Source

RELATED TERMS

Open Dataset Data Access Data License Data Contracts APIs Governance Data Privacy Data Collaboration Secure Data Sharing Lineage

COMPETING TERMS

Data Hoarding Data Localization

RELATIONS

• Narrower: Business-to-Government Data Sharing

KNOWLEDGE AREAS

Data Management Data Integration & Interoperability Data Governance Data Privacy & Compliance

TARGET AUDIENCE

Data Architect Data Engineer Data Governance Manager Chief Data Officer Data Steward Cloud Architect AI Product Manager

EXTERNAL SOURCES

• Wikipedia - Data sharing
• Snowflake - Secure data sharing feature overview
• Open Knowledge Foundation - Open data concepts relevant to sharing

TOP QUESTIONS

What are the benefits of Data Sharing?

It accelerates collaboration, reduces duplication, and unlocks new value from existing assets. It also improves transparency and fosters innovation.

Category: Benefits

How do we share data securely?

Use fine-grained access, tokenized identities, encryption, and auditing. Define data contracts and legal agreements clarifying permitted use and responsibilities.

Category: Best practices

What is a common mistake in Data Sharing?

Sharing without clear purpose or metadata leads to misuse and confusion. Always provide documentation, lineage, and quality status.

Category: Mistakes

How does Data Sharing differ from Open Data?

Data sharing can be restricted and contractual, while open data is free for anyone to use, subject to open licenses.

Category: Comparison

What are legal considerations for Data Sharing?

Assess privacy laws, intellectual property, and sector regulations. Include purpose limitation, retention, and breach notification clauses.

Category: Compliance

Which formats and interfaces facilitate Data Sharing?

APIs, data exchanges, cloud sharing features, and standardized file formats (e.g., Parquet, CSV, JSON) support interoperability and control.

Category: Tools

How do data contracts support Data Sharing?

They specify schema, semantics, SLAs, and change management, reducing breakage and improving reliability for consumers.

Category: Requirements

What is the risk of oversharing data?

Oversharing can violate privacy and agreements, causing legal penalties and reputational harm. Implement purpose-based access and minimization.

Category: Risks

How do we measure Data Sharing success?

Track number of consumers, reuse rates, time-to-onboard, and adherence to contracts. Monitor incident and breach metrics.

Category: Measurement