wguirb the capstone IRB process, handled end to end

Existing records and secondary data: when a dataset becomes human-subjects research

A spreadsheet turns into human-subjects research at one hinge: whether what you use or analyse is identifiable private information about living people, gathered for an investigation aimed at generalizable knowledge. Not whether the numbers came out of charts. A records project can be human-subjects research although you never meet a soul, and it can also sit outside the definition entirely, which is a common and legitimate landing for a WGU capstone built on data that already exists.

Lydia Fairbanks, DNP, APRN ·

The short answer

Existing data becomes human-subjects research when you obtain, use or analyse identifiable private information about living people for a systematic investigation designed to produce generalizable knowledge. Identifiability decides it, not the source of the file. You file for that reading; you never declare it.

Does working from records count as research at all?

Two federal definitions run in sequence, and skipping the first is where most records files go wrong. Research, at 45 CFR 46.102(l), is a systematic investigation designed to "contribute to generalizable knowledge". The second definition covers the people: a living person from whom an investigator gathers information by interacting, or about whom the investigator "studies, analyzes, or generates identifiable private information" (46.102(e)(1)).

Read those in order, because the reviewer does. If the aim is honestly to see whether last quarter's fall rate moved on your unit, and to tell your unit about it, the activity may not meet the research definition at all, and the rest never applies. If the answer is meant to travel beyond the site, you are inside that definition, and only then does identifiability decide anything. OHRP sets out the same sequence: research, then human subjects, then exemption.

The trap is that one chart pull can sit on either side. A run chart posted on the unit board and a retrospective comparison written for an audience beyond the unit can draw on identical rows. What separates them is the intent you wrote down, and intent stated in one document has to survive in all the others. The reading we issue starts there for that reason.

What actually makes a dataset identifiable?

The regulation at 46.102(e)(5) is unusually plain. Private information is identifiable when the subject's identity "may readily be ascertained" by you, or is "associated with the information". Two phrases, two different tests. The first asks not whether you intend to look, but whether looking is available to you. The second means a name sitting beside a row counts even if you never read that column.

This is why a retained key is the most consequential object in a records project. Replace names with P01 and P02, keep a linking file in a folder only you can open, and the information stays identifiable to you, because you can resolve any code whenever you choose. De-identified describes what exists, not where it is filed.

The reviewer is not asking whether you would look. The reviewer is asking whether you could.

Where does a coded extract land?

OHRP's 2008 guidance on coded private information answers this, and it is the document reviewers reach for. Work involving only coded information falls outside the human-subjects definition when two conditions hold together. The information was not gathered for this particular project by interacting with anyone, and the investigator "cannot readily ascertain the identity" behind the codes, because a written agreement bars release of the key, or a repository's approved policies bar it, or the law does.

Notice the practical cost. Somebody else must hold that key, and the arrangement has to be written down before the extract moves. A friendly understanding with the analyst who ran the query is not what the guidance describes. That guidance predates the 2018 revision and cites older section numbers, so read its reasoning against the current text at 46.102(e) and 46.104(d)(4).

Then the closing recommendation, which surprises people most: OHRP advises that investigators should "not be given the authority" to decide on their own that coded-data work involves no human subjects. WGU's policy page says the equivalent, requiring proposals to reach the IRB so the IRB establishes the level of review. The reading is the office's to issue.

Six common ways to build a records project, and how each reads
What you plan to obtainWhat the reviewer looks atUsual reading
An aggregate report from the site: counts and rates onlyWhether any cell is small enough to name a personFrequently not human-subjects research
A row-level extract you pull yourself, carrying record numbers or service datesIdentifiability at the moment of recordingHuman subjects; expect a review path
A coded extract, key held by the site's analyst under a written agreement not to release itThe agreement itself, and when it was madeOften outside the human-subjects definition
A coded extract, key retained by you "in case of questions"Your ability to re-identify at willIdentifiable; the key decides it
A public dataset published for open useThat it is genuinely public, not merely obtainableNamed in the secondary-research category
Data held by WGU about its own populationThe institutional permission that precedes the IRBSeparate approval first; see below

Which exempt category covers secondary data?

When human subjects are involved, the category that usually applies to existing data is 46.104(d)(4), secondary research for which consent is not required. One criterion must be met: the information is publicly available; or you record it so identity cannot be worked out, contact nobody, and "will not re-identify subjects"; or the use is of identifiable health information already regulated under HIPAA for health care operations, research or public health.

That middle criterion bundles three promises, and a file that retains a key has broken the first before the sentence ends. Exempt is also a verdict the reviewer issues on a complete application, not a box you tick; the categories and who confirms them are laid out in the review levels piece.

What does HIPAA add when the records are clinical?

HIPAA runs on its own track, and the facility enforces it whatever WGU's board decides. Three routes matter for a capstone built on clinical records.

  • De-identification. The safe-harbor route at 45 CFR 164.514(b)(2) strips eighteen categories: names, record numbers, device identifiers, every date element finer than a year, ages beyond 89, and a catch-all covering any "unique identifying number, characteristic, or code". Service dates are the one people forget; on a small unit they point as sharply as a name.
  • A limited data set. A covered entity may, under 164.514(e), release a set that keeps dates and coarse geography while dropping direct identifiers, but only under a data use agreement. If a facility offers one, that agreement is a document in your folder, not a formality.
  • A waiver of authorisation. Under 164.512(i), protected health information may be disclosed for research once an IRB or privacy board documents a waiver, having found minimal privacy risk, a sound plan to protect and later destroy identifiers, and no practicable alternative.

A fourth route is often the honest one early on: the preparatory review at 164.512(i)(1)(ii), where you look in order to design the project, on the representation that nothing leaves the covered entity. Looking is not a free action, and it is not collection either.

What if the data belongs to WGU?

This branch catches capstones aimed inward. WGU's policy page requires that work drawing data from the university's own population, or using extant university data about those groups, be approved by the Vice President of Institutional Research or a designee before the IRB submission, with the capstone instructor enabling it. Two gates, fixed order. Plan that sequence before drafting; the ordering logic is set out in the piece on gates and passes.

What belongs in a records file before you submit?

  • An intent statement whose language matches the design, in every document carrying it.
  • The variable list: which fields you receive, written out one by one.
  • Who runs the query, who holds any key, and the written arrangement saying so.
  • The date range, and whether dates are truncated to year or dropped.
  • The smallest cell you will report, and what happens when one would name somebody.
  • Where the file lives, who can open it, and what triggers destruction.
  • The site's permission for the extract, and any data use agreement.
  • The training record WGU's current handbook or IRB portal expects.

One test catches most of the remaining trouble. Set the data plan beside the intent statement and ask whether a stranger would describe the same project from each. If the aim claims improvement at one site while the plan retains identifiers only a travelling comparison would need, the file is telling two stories.

What to do next

Pulling the extract first and asking afterwards is how a records capstone gets lost: nothing is approved backwards, and a pull made "just to look" is already collection. Send the aim statement and the field list to the desk. Back comes the reading your project honestly sits on, the folder it needs, and a straight answer on whether the draft is clean enough to file without us. The free application review costs nothing; the chart-data question is a fair place to start.

Sources

Forms, portals and training expectations change. Confirm them in WGU's current handbook or IRB portal rather than in any summary, this one included. We are independent consultants, not affiliated with Western Governors University.

Send the field list before you pull a single row.

The whole WGU IRB process, end to end: the reading, every document, the filing, each reply. What you research remains yours. What the board concludes remains its own.

Request the free application review
What the review answers
  • whether the dataset is identifiable as planned
  • which reading the project sits on
  • whether you can file it yourself