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The Privacy Ledger - protect and govern student data

Data Governance Boards for Student Data

Data Governance Boards for Student Data: what it means for a institutional data practice, who may use it, and the check to make before it moves.

Privacy check
Record
institutional data practice in institutional privacy governance
Data
Data Governance Boards for Student Data
Safeguard
a named decision maker, a written policy and regular training
First check
State the purpose in a sentence a student could understand.

The short answer

For information oversight boards for student information, think in terms of a chain: a student, an institutional information practice, a purpose, an authority, a receiver, a safeguard and a retention date. Break any link and the disclosing fails, even if every other link is sound. This guide walks that chain link by link, so the reader may see exactly where a proposed disclosing retains and where it breaks.

Course evaluations may become education records when they are maintained about identifiable students, and that possibility ought to be checked, not assumed away.

Free tools are not free of confidentiality cost, and the price is frequently paid in information uses the university never reviewed.

A contract with a vendor may authorise processing on the university's behalf, but it cannot authorise uses the university itself could not authorise.

Single sign-on reduces password risk but concentrates identity risk, and the safeguards around the identity provider deserve matching attention.

What this covers

Biometric templates should be deleted when a student leaves, on a specified timetable, and the deletion should be verifiable.

Applicants who never enrol still have files that were created regarding them, and those files should be retained and safeguarded on a stated schedule.

An opt-out, once exercised, must be honoured across platforms, including directories, publications and data feeds that were built before the opt-out arrived.

An education record is defined by how it is maintained and whom it is about, not by the folder it sits in or the platform that holds it.

Research systems hold datasets that may be de-identified in name but identifiable in combination, especially in small programmes.

Third-party tools connected to a learning system may receive more data than the integration was meant to pass, and the actual data flow ought to be tested, not assumed.

How to work through it

Run internal audits on a stated cycle, and track findings to closure with owners and dates.

Separate duties so that the person who approves a disclosure is not the only person who may see that it happened.

Segment networks so that a compromise in one system does not automatically expose student file systems.

Own each group mailbox membership list, since an unowned list is an access control failure waiting to be discovered.

Make privacy notifications available in the languages students actually read, because an unread notice cannot inform permission.

Test vendor data flows in a staging environment where possible, since production testing risks the very files being safeguarded.

Audit surveillance systems for access, retention and sharing, since cameras generate records continuously, even when nobody watches.

Contain students in oversight, because students notice confidentiality problems that staff have normalised.

A worked illustration

In that illustration the audit finding becomes a remediation task with an owner and a date, and the subprocessor's copy is deleted on a verified timetable.

The cost of fixing the badly done adoption, in renegotiation, migration and lost trust, is far higher than the cost of the review that was skipped.

Consider a student who asks to see an advising note that contains a factual error, and who receives the note, the correction procedure and a written determination.

Consider a student organisation that collects member data in a shared spreadsheet and discovers, during a review, that the sheet is apparent to the whole site.

Consider an institution that merges two campuses and discovers that each campus retained the same files under different retention schedules.

Where guides go wrong

Treating alumni records as unprotected history is a mistake, since graduation does not end the institution's duty.

Treating a course evaluation as anonymous without checking whether it is maintained about identifiable students is an error.

Excluding students from confidentiality oversight is an error, since students notification problems that employees have normalised.

Conversely, a lawful disclosure may still be handled carelessly, in an unencrypted attachment or an open distribution list, and the injury is the same.

Letting group mailboxes and shared drives accumulate members without an owner is a mistake that turns access control into archaeology.

Sources and evidence on the record

  • US Department of Education, Student Privacy Policy Office, studentprivacy.ed.gov - FERPA guidance, FAQs and model notices.
  • Family Educational Rights and Privacy Act regulations, 34 CFR Part 99, text on eCFR.
  • US Department of Education, ed.gov - guidance, Dear Colleague letters and enforcement information.

Evidence basis: Department of Education guidance and institutional governance practice Applies when: When a college holds, uses or discloses a institutional data practice in the context of institutional privacy governance

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