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Data sharing agreement template: the 12 clauses and the fields to fill in

This is a working structure for a data sharing agreement, written for the person who has to operate the agreement after it is signed. Each clause below lists the specific value it must state, because a clause that says "appropriate safeguards" without naming an environment cannot be checked against a real release. Adapt the drafting to your parties, jurisdiction, and counsel. Nothing here is legal advice.

What the operating record should prove

The 12 clauses and what each one must name

Most published data sharing agreement templates are complete as documents and unusable as controls, because the operative values are left as prose. Use this table while drafting or reviewing. The middle column is the value a release reviewer will have to compare a request against, and the right column is the check that value makes possible.

Five fields most templates leave vague, and what to write instead

These are the places where a signed agreement most often turns out to be unenforceable in practice. Each has a common default that cannot be checked, and a checkable alternative.

Where to start from a real base document

Model agreements are maintained by institutions with counsel behind them. Georgetown Law's Institute for Technology Law and Policy publishes model data sharing agreements, and the UK Information Commissioner's Office data sharing code of practice sets out the content a sharing agreement is expected to cover. Many universities and public agencies publish their own executed templates, which are useful precisely because they have survived a real negotiation.

The 12 clauses and what each one must name

Most published data sharing agreement templates are complete as documents and unusable as controls, because the operative values are left as prose. Use this table while drafting or reviewing. The middle column is the value a release reviewer will have to compare a request against, and the right column is the check that value makes possible.

Data sharing agreement clause reference
ClauseThe value it must stateRelease check it produces
1. Parties and authorityLegal names of the disclosing and receiving organizations, signatories, the agreement owner on each side, and the statute, policy, or protocol the sharing rests onIs this request under the agreement that actually covers these two parties
2. Term and amendmentEffective date, expiration date, renewal mechanism, amendment process, and order of precedence among the body, exhibits, and any prior agreementIs the governing version current on the proposed release date
3. Permitted purposeThe approved purpose in specific language, plus any purposes expressly prohibitedDoes the stated request purpose match the permitted purpose
4. Recipients and authorized usersNamed recipient entity, eligible user roles or a named user list, collaborators, subcontractors and processors, and the process to add or remove a userIs every user on this release inside the authorized set
5. Data scopeField list or data dictionary reference, population or cohort definition, time period covered, source systems, and refresh cadenceDoes the proposed schema contain a field outside the allowlist
6. Derived data and linkageWhether linkage to other datasets is permitted, which datasets, and who owns derived data and aggregate outputsIs a linkage or derived output proposed that the agreement does not permit
7. Environment and locationNamed approved environment or platform, permitted geographies, and whether local copies or exports are allowedIs the proposed environment the approved one
8. Transfer and securityTransfer method, encryption in transit and at rest, authentication, logging, and the assurance standard the recipient must meetDoes the proposed transfer method match the permitted one
9. Retention and destructionAccess end date, maximum retention period, destruction or return obligation, treatment of backups and derived copies, and the evidence of destruction requiredHas the access end date passed, and is retention within the maximum
10. Publication and redisclosureWhether results may be published, any review or notice period, attribution, and whether onward disclosure to a third party is permittedDoes the stated publication or redisclosure intent exceed the permitted scope
11. Incident and non-complianceNotification window in days, the named contact, recipient duties on suspected misuse, and the disclosing party cure and termination rightsIs an open incident blocking further release under this agreement
12. Audit and recordsAudit rights, the records the recipient must keep, the retention period for those records, and the reporting cadenceCan the disclosing party evidence what was released and to whom

Five fields most templates leave vague, and what to write instead

These are the places where a signed agreement most often turns out to be unenforceable in practice. Each has a common default that cannot be checked, and a checkable alternative.

  • Purpose: "research purposes" is not checkable. Write the project title, the protocol or grant number, and the specific analysis.
  • Users: "employees of the Recipient with a need to know" is not checkable. Reference a named user list held as an exhibit, with a stated update process.
  • Data: "the Data described in Exhibit A" is checkable only if Exhibit A is a field list. Attach the data dictionary or schema, not a narrative description.
  • Environment: "a secure environment" is not checkable. Name the platform, the account or tenant, and the region.
  • Retention: "for the duration of the project" is not checkable. State a date, or a fixed period running from a named event, and state what evidence of destruction is required.

Where to start from a real base document

Model agreements are maintained by institutions with counsel behind them. Georgetown Law's Institute for Technology Law and Policy publishes model data sharing agreements, and the UK Information Commissioner's Office data sharing code of practice sets out the content a sharing agreement is expected to cover. Many universities and public agencies publish their own executed templates, which are useful precisely because they have survived a real negotiation.

If the data is protected health information under HIPAA, the required terms are set by regulation rather than by preference. See the annotated data use agreement sample for the five recipient undertakings required at 45 CFR 164.514(e)(4), and the limited data set identifier reference for what such a dataset may still contain.

Filled example: the release schedule attached to an agreement

The following values are fictional and illustrate an operational attachment for review, not a ready-to-sign contract or a statement of legal sufficiency. They show how the clause table becomes a checkable request. Counsel and the responsible data owner must determine the applicable lawful basis, rights, jurisdiction and required terms for the real arrangement.

Synthetic agreement schedule and release check
FieldFictional schedule valueCheck before release
Parties and versionExample University and Example Research Institute; DSA-EXAMPLE version 2Both named parties and this governing version match the request
PurposeProject EXAMPLE-17: study service waiting timesThe proposed analysis stays within the approved project scope
DataExhibit A version 3: study code, service month and waiting-time bandCompare the actual schema and payload; a free-text notes column needs separate review
Users and environmentTwo named researchers in the approved institutional workspaceCheck the current user list and the actual destination
Term and retentionAccess ends 30 June 2027; approved retention schedule attachedCheck the release date and the approved treatment of copies and backups
ChangesNew field, recipient or purpose goes to the named agreement ownerHold an out-of-scope request for authorized review; do not silently widen the schedule

Review the proposed extract, not just the completed template

Suppose the request above adds an email-address field. The agreement may still be correctly signed, but the release no longer matches the attached field list. Record the added field, the relevant exhibit version and the review owner before anything is transferred. The appropriate outcome depends on the governing terms and authorized decision; the template itself does not grant an exception.

Repeat the same check when the destination, project purpose, authorized users or dates change. Keep the requested value, the permitted value, the source reference, the finding and the final approval or hold in the same review record. This provides a useful handoff even when the review is performed manually and the planned Audarel service is unavailable.

After execution: turning the template into controls

A signed agreement changes nothing operationally until each clause value is recorded as a structured control with a citation back to the clause. A field list becomes an allowlist. A cohort definition becomes a row predicate. An access end date becomes an expiry check. A named environment becomes an equality check against the request.

Audarel is in development. Its planned workflow proposes candidate controls from the executed document, asks a named reviewer to confirm each against its source clause, and connects release checks, decisions and evidence. The schedule and manual checks above can be used without signing up or waiting for that product.

Why this page exists

Keep decisions human and evidence explicit.

Practical guidance that connects policy documents to observable release controls.

Primary references

Confirm requirements against current source material.

Requirements and vendor capabilities change. Confirm the current source and your approved QC plan before changing a production process.

From evidence to conclusion

Put the guidance inside a reproducible release record.

Audarel is in development. If you review data releases against executed agreements today, we want to understand how.

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