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Difference Between Data Use Agreement and Data Sharing Agreement: Key Differences, Purposes, and Legal Considerations

Data plays an increasingly important role in modern business operations, academic research, healthcare, government services, and technology development. Organizations regularly collect, exchange, analyze, and process information to support decision-making, improve services, and develop new solutions. However, sharing or using data outside its original environment introduces important questions about privacy, ownership, security, and legal responsibility.

Two common legal instruments used to manage these activities are the Data Use Agreement (DUA) and the Data Sharing Agreement (DSA). Although both documents establish rules for handling information, they serve different purposes and address different aspects of data governance.

Understanding the difference between a Data Use Agreement and a Data Sharing Agreement is essential for organizations that need to exchange sensitive information, collaborate with external partners, or provide researchers with access to restricted datasets.

While the terminology may sometimes overlap depending on the industry and jurisdiction, each agreement generally addresses a distinct relationship between the parties involved.

What Is a Data Use Agreement (DUA)?

A Data Use Agreement is a legal or contractual document that establishes the conditions under which one party is permitted to access, use, process, or analyze data provided by another organization.

Its primary purpose is to control how the receiving party uses the information.

A DUA is particularly common when organizations provide access to confidential, sensitive, proprietary, or otherwise restricted datasets. The agreement helps ensure that recipients follow specific rules and do not use the information for unauthorized purposes.

For example, a university may provide a research institution with access to a dataset containing de-identified patient information. The receiving institution may be permitted to use that information for a specific medical research project but prohibited from attempting to identify individual patients or distributing the dataset to unrelated third parties.

Typical provisions in a Data Use Agreement include:

• Permitted and prohibited uses of the data.
• Restrictions on identifying individuals represented in the dataset.
• Data security and confidentiality requirements.
• Limitations on redistributing or transferring information.
• Requirements for reporting security incidents.
• Data retention and destruction obligations.
• Publication and research-related restrictions.
• Responsibilities of the receiving organization.

The central objective of a DUA is to establish clear boundaries around data usage and protect the interests of the organization providing access.

What Is a Data Sharing Agreement (DSA)?

A Data Sharing Agreement is an agreement that establishes the terms and responsibilities governing the exchange of information between two or more parties.

Unlike a DUA, which primarily focuses on how a recipient may use data, a DSA generally addresses the broader process of sharing information between organizations.

It explains what information will be exchanged, why the exchange is necessary, how the parties will transfer and manage the information, and which responsibilities apply to each organization.

For example, a healthcare provider may share patient information with a public health authority to support disease monitoring and public health planning. A Data Sharing Agreement can establish the categories of information involved, the legal basis for sharing, security requirements, permitted recipients, and procedures for handling the information.

Common provisions in a Data Sharing Agreement include:

• The identity of participating organizations.
• The categories and sources of data being shared.
• The purpose and legal basis for data exchange.
• Responsibilities of data providers and recipients.
• Data transfer methods and security standards.
• Access controls and confidentiality requirements.
• Data accuracy and quality responsibilities.
• Procedures for handling breaches and unauthorized disclosures.
• Retention, deletion, and termination conditions.

The primary objective of a DSA is to establish a transparent and controlled framework for exchanging information while defining the responsibilities of all participating parties.

Difference Between Data Use Agreement and Data Sharing Agreement

Although both agreements support responsible data management, their main differences relate to purpose, scope, responsibilities, and the relationship between the organizations involved.

The following comparison highlights their key characteristics.

Comparison	Data Use Agreement (DUA)	Data Sharing Agreement (DSA)
Primary purpose	Controls how data may be used	Establishes conditions for exchanging data
Main focus	Permitted data usage	Data transfer and shared responsibilities
Scope	Often focuses on the recipient’s activities	Often covers the entire sharing relationship
Parties	Commonly a data provider and recipient	Two or more participating organizations
Data access	Defines permitted access and usage	Defines what information is exchanged and with whom
Restrictions	Emphasizes use limitations	Emphasizes sharing, access, and handling conditions
Security	Establishes recipient security obligations	Establishes security responsibilities across the sharing arrangement
Common applications	Research, healthcare, analytics, and restricted datasets	Government collaboration, business partnerships, and institutional data exchange

One important distinction is that these agreements are not necessarily mutually exclusive. An organization may need both documents when a data-sharing arrangement involves specific restrictions on how the receiving party can use the information.

Key Differences Explained

1. Purpose and Intended Function

The most important difference concerns the primary function of each agreement.

A Data Use Agreement is designed to ensure that information is used only for approved purposes. It focuses on the activities that a receiving organization can perform after obtaining access to the dataset.

A Data Sharing Agreement focuses on the conditions under which information moves between organizations. It establishes the framework for exchanging information and managing the associated responsibilities.

In simple terms, a DUA answers the question, “What can the recipient do with this data?”

A DSA answers the question, “Under what conditions can these organizations exchange and manage this data?”

2. Scope of Responsibilities

A DUA commonly places significant responsibility on the receiving party. The recipient must comply with restrictions involving confidentiality, security, research purposes, and unauthorized disclosure.

A DSA generally defines responsibilities across all participating organizations. These responsibilities may include preparing datasets, verifying information quality, transferring records securely, managing access permissions, and responding to security incidents.

This broader scope makes DSAs particularly useful for long-term partnerships involving recurring data exchanges.

3. Data Access and Usage Restrictions

Data access and data usage are closely related, but they are not identical.

An organization may be authorized to receive information without having permission to use it for every possible purpose.

For example, a research organization might receive a dataset for a specific academic study. A DUA can restrict the recipient from using the same information for commercial marketing, unrelated research, or attempts to identify individuals.

A DSA, meanwhile, can establish which datasets may be exchanged, which employees or departments can access them, and how the information should be transferred.

4. Legal and Regulatory Considerations

Both agreements can support compliance with applicable privacy and data protection laws. However, signing either agreement does not automatically make a data processing activity lawful.

Organizations must identify the appropriate legal basis, satisfy applicable privacy obligations, and determine whether additional contractual documents are required.

In the United States, healthcare organizations handling protected health information may need to consider the Health Insurance Portability and Accountability Act (HIPAA). Depending on the circumstances, a HIPAA-compliant Data Use Agreement may be required for limited data sets.

Under the European Union’s General Data Protection Regulation (GDPR), organizations must also determine whether they act as independent controllers, joint controllers, or processors. Depending on these roles, a data sharing arrangement may need to address the requirements of Articles 26 or 28 of the GDPR.

These distinctions are important because a DUA or DSA does not replace other legally required agreements.

When Should an Organization Use a Data Use Agreement?

A Data Use Agreement is particularly appropriate when an organization provides another party with access to information that requires specific usage restrictions.

Common situations include:

Academic Research

Universities and research institutions frequently exchange datasets to support scientific studies. A DUA can specify the approved research objectives and prevent unauthorized use or redistribution.

Healthcare Research

Hospitals, medical research organizations, and healthcare institutions may provide researchers with access to limited or de-identified patient datasets. A DUA can establish restrictions on identifying individuals and using information beyond the approved research purpose.

Business Analytics

A company may provide a consultant or analytics provider with access to internal business information. A DUA can limit the use of that information to an agreed project.

Government Data Access

Public agencies may provide restricted datasets to researchers, contractors, or other approved organizations. A DUA can establish confidentiality requirements and acceptable-use conditions.

When Should an Organization Use a Data Sharing Agreement?

A Data Sharing Agreement is generally appropriate when two or more organizations need a formal framework for exchanging information.

Typical examples include:

Healthcare Information Exchange

Hospitals, laboratories, healthcare networks, and public health authorities may need to exchange information to coordinate services and monitor public health conditions.

Business Partnerships

Companies collaborating on joint projects may exchange customer information, operational records, or market research data. A DSA can define the permitted exchange and responsibilities of each partner.

Government Collaboration

Government departments may share information to improve public services, coordinate investigations, or support policy development.

Research Collaborations

Multiple universities and research institutions may contribute information to a shared research database. A DSA can establish the exchange process, responsibilities, and governance arrangements.

Can an Organization Use Both Agreements?

Yes. In many situations, using both a Data Use Agreement and a Data Sharing Agreement provides a more comprehensive approach to data governance.

Consider a healthcare research collaboration involving a hospital, a university, and an external research organization.

The hospital may need to share a dataset with the university under a Data Sharing Agreement. This document can establish the scope of the exchange, the responsibilities of the parties, and the security procedures involved.

The university may then provide access to the dataset to an external research organization under a Data Use Agreement. That document can establish specific restrictions on how the research organization may analyze, retain, or disclose the information.

Using both agreements helps address different aspects of the relationship.

However, organizations should avoid unnecessary duplication. The documents should be consistent and clearly explain how their obligations interact.

Important Elements to Include in Either Agreement

Regardless of which document an organization uses, several fundamental provisions deserve careful consideration.

Data Description: Clearly identify the information covered by the agreement, including its format, source, and sensitivity.

Purpose Limitation: Define the legitimate purposes for which the information may be accessed, exchanged, or processed.

Security Requirements: Establish appropriate safeguards, including encryption, access controls, authentication, and secure transfer methods.

Confidentiality: Specify how confidential information must be protected and which individuals may access it.

Incident Reporting: Define procedures and notification timelines for suspected data breaches or unauthorized access.

Retention and Destruction: Establish how long information may be retained and how it must be securely deleted or returned.

Third-Party Access: Explain whether subcontractors, service providers, or other external parties may access the information.

Termination: Specify what happens to the data and associated obligations when the agreement ends.

These provisions help reduce misunderstandings and establish accountability throughout the data lifecycle.

Conclusion

Understanding the difference between a Data Use Agreement and a Data Sharing Agreement is essential for organizations that handle information across institutional or business boundaries.

A Data Use Agreement primarily establishes restrictions and permissions governing how a receiving party may use information. A Data Sharing Agreement provides a broader framework for exchanging information and defining the responsibilities of participating organizations.

Although their purposes differ, both agreements play important roles in responsible data governance, information security, and regulatory compliance.

The right choice depends on the nature of the relationship, the sensitivity of the information, the intended activities, and applicable legal requirements. In complex collaborations, organizations may benefit from using both agreements to ensure that data exchange and subsequent data usage are properly governed. DHHS considered that the privacy protection of individuals with respect to PHIs

By establishing clear contractual expectations, organizations can support collaboration, reduce privacy risks, and build greater trust when sharing valuable information.

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