Do You Need an IRB? Research Ethics for Nonprofit Program Studies
Most nonprofit evaluation work never needs an institutional review board. Some of it does, and the line is not always where staff expect. A survey you run to improve your tutoring program is usually quality improvement. The same survey, designed with a university partner to test a theory and publish the findings, may be human subjects research under the federal Common Rule. This guide explains the definitions that decide the question, when federal funding brings the rules into play, how exemptions and university reliance agreements work, what independent IRBs offer, and how vulnerable populations, consent, HIPAA, and FERPA fit in. It also covers the newer questions that come up when staff upload interview transcripts or participant data into AI tools, and how AI can help you draft protocols and consent forms without replacing the people who make the actual determination.

Nonprofits collect a remarkable amount of information about the people they serve. Intake forms, attendance logs, pre and post surveys, focus groups, exit interviews, case notes, and outcome tracking all exist because funders, boards, and program staff want to know whether services are working. Almost none of this is "research" in the regulatory sense, and most program teams have never had reason to think about an institutional review board, or IRB. Then a graduate student asks to use your data for a dissertation, a foundation offers money for a rigorous evaluation, a federal grant arrives with human subjects language in the terms and conditions, or your evaluation director wants to present findings at a national conference. Suddenly the question matters.
Getting the answer wrong is costly in both directions. If you treat ordinary program monitoring as research, you can bury a small team in paperwork and delay improvements that participants need. If you treat genuine research as routine evaluation, you can expose participants to risks they never agreed to, jeopardize federal funding, make results unpublishable, and damage trust with the communities you serve. Journals and conferences increasingly ask authors to state whether a study was reviewed by an IRB or determined to be exempt, and "we did not think we needed one" is not an answer that holds up well after the fact.
AI has added a new layer. Program staff now routinely paste interview transcripts into chat assistants, run survey comments through language models, and use transcription tools during focus groups. Each of those steps moves participant information somewhere new, under vendor terms that participants never saw. Even when no IRB is involved, those are research ethics questions. When an IRB is involved, your protocol and consent form need to describe them accurately.
This article walks through the US framework in practical terms: the Common Rule definitions of research and human subjects, how federal funding and institutional partnerships trigger review, exempt categories, whose IRB applies, independent IRB options, vulnerable populations, informed consent, and HIPAA and FERPA overlaps. It ends with a section on AI, both as a source of new data risks and as a useful drafting assistant. One important caveat up front: this is not legal advice. The final determination of whether an activity is human subjects research, and whether it is exempt, should be made by an IRB or a designated institutional official, not by the program team that wants to run the study. If you are new to evaluation design more broadly, our overview of AI for nonprofit research and evaluation is a helpful companion.
The Two Questions That Decide Everything: Is It Research, and Are There Human Subjects?
The Federal Policy for the Protection of Human Subjects, known as the Common Rule, is codified for the Department of Health and Human Services at 45 CFR 46 and adopted by a number of other federal departments and agencies. The current version, often called the 2018 Requirements, took full effect in January 2019. Whether an activity falls under it depends on two definitions, and both must be met.
First, the regulation defines research as "a systematic investigation, including research development, testing, and evaluation, designed to develop or contribute to generalizable knowledge." Notice that evaluation is explicitly named. Program evaluation is not automatically excluded, which surprises many nonprofit staff. What matters is the phrase "designed to develop or contribute to generalizable knowledge." An evaluation designed to tell your organization whether your own program is working, so you can improve it, is generally not aimed at generalizable knowledge. A study designed to test whether a type of intervention works, with the expectation that the findings will inform the field beyond your program, generally is. The intent and design of the activity at the outset matter more than its methods. A randomized design does not make something research, and a simple survey does not make something not research.
Second, a human subject is "a living individual about whom an investigator ... conducting research" either obtains information through intervention or interaction with the person and uses or analyzes it, or "obtains, uses, studies, analyzes, or generates identifiable private information." Identifiable private information is information "for which the identity of the subject is or may readily be ascertained by the investigator or associated with the information." This second definition is why secondary analysis of your existing client records can still be human subjects research. You do not need to talk to anyone. If a researcher can readily tell who the records are about, the people in them can be human subjects.
The 2018 Requirements also carved out a handful of activities that are "deemed not to be research," including "scholarly and journalistic activities (e.g., oral history, journalism, biography ...)" that focus directly on specific individuals, along with certain public health surveillance and criminal justice activities. These carve-outs are narrower than they sound. An oral history project about specific community elders may be outside the rule, while a project that interviews many people to draw general conclusions about a population may not be.
Usually program evaluation or QI
Designed to improve your own services
- Satisfaction surveys used to adjust program schedules or staffing
- Outcome tracking required by a funder to show your program met its targets
- Testing two versions of a reminder text to see which improves attendance in your program
- Focus groups to redesign an intake process
Often human subjects research
Designed to answer a broader question
- A study testing a hypothesis about a model of care that others could adopt
- Withholding or altering services for a comparison group to answer a research question
- A university faculty member analyzing identifiable client records for a paper
- Interviews collected primarily to build theory for a dissertation
Program Evaluation, Quality Improvement, and the Publishing Question
The Office for Human Research Protections (OHRP), the HHS office that oversees the Common Rule, has addressed the boundary between quality improvement and research in its frequently asked questions on quality improvement activities. The core message is that most activities designed to improve the performance of a program or institution do not meet the regulatory definition of research, so the human subjects regulations do not require IRB review for them. OHRP also notes that some projects serve both purposes. When an improvement project is also designed to answer a research question, for example by altering how services are delivered specifically to test a hypothesis, it can fall within the regulations.
A common myth is that publication is the bright line. It is not. OHRP's guidance makes clear that an intention to publish does not, by itself, make an activity research, and that a project can be research even if no one plans to publish it. Plenty of program evaluations are written up and shared at conferences without ever being human subjects research, because they were designed to assess and improve a specific program. What publishing does in practice is force the question. Journals, conference committees, and academic co-authors will ask whether the work was reviewed, and if your design was aimed at generalizable knowledge from the start, you need to have obtained a determination before you collected data. Most IRBs cannot approve research retroactively.
Intent can also shift partway through a project. Imagine a youth mentoring nonprofit that runs an annual outcome survey for its own use. Two years in, the evaluation lead notices an interesting pattern and wants to analyze the historical data more rigorously with a university collaborator, then submit a paper. The original data collection was program evaluation. The new secondary analysis, designed to contribute to the literature, may well be human subjects research, especially if the dataset is identifiable. That is the moment to seek a determination, not after the manuscript is drafted. The same is true when you move from describing your outcomes to estimating causal effects. If you are planning a comparison group or quasi-experimental design, our guide to causal inference for program evaluation explains the methods, and this article explains when they may require review.
Useful questions to ask your team before any new study include: Who is the intended audience for the findings, your own staff and funders, or the field at large? Would you change participants' services in ways you would not otherwise, purely to answer a question? Is someone outside your organization, such as a faculty member or graduate student, leading the analysis? Will the data be kept and reused for other projects? Yes answers do not automatically mean you need an IRB, but they mean you should ask one.
Signals That Push a Study Toward "Research"
None is decisive alone, but each warrants a determination request
- The study is framed around a hypothesis or question about a type of intervention, not just your program
- Participants are randomized, or services are changed, primarily to generate evidence
- An academic partner is involved and will use the results for scholarship
- Data collection goes beyond what you would gather to run or improve the program
- The funding is a research grant, or the award terms reference 45 CFR 46
When the Rules Legally Apply: Federal Funding, Assurances, and State Law
Even if an activity is human subjects research, the Common Rule does not automatically apply to every organization in the country. It applies to research conducted or supported by the federal departments and agencies that have adopted it, which include HHS, the Department of Education, the National Science Foundation, the Department of Agriculture, the Department of Housing and Urban Development, and others. The Department of Justice has its own version of the rule that still follows the pre-2018 requirements, so check which version your funder applies. If your organization receives federal funding for a project that involves non-exempt human subjects research, and your organization is "engaged" in that research, you generally need a Federalwide Assurance (FWA) on file with OHRP and IRB review that satisfies the regulations. That obligation can flow down through pass-through grants from states and through subawards from universities, so read award terms carefully rather than assuming federal rules only apply to direct federal grants.
"Engagement" is a term of art. OHRP's guidance on engagement of institutions explains that an organization is generally engaged when its employees or agents interact or intervene with participants for research purposes, obtain informed consent, or obtain identifiable private information for the research. An organization that only permits researchers to recruit at its site, or that releases information only in coded form without access to the key, may not be engaged. This matters for nonprofits because many partnerships can be structured so that the university is engaged and the nonprofit is not, which reduces paperwork. It does not reduce your ethical responsibility for how participants are treated.
Privately funded research conducted by a nonprofit with no federal support and no university partner may not be legally subject to the Common Rule at all. That is not the end of the analysis. Some states have their own human subjects laws. Maryland, for example, extends the federal human subjects regulations to research conducted in the state regardless of funding source. Other legal regimes, including HIPAA, FERPA, state privacy laws, and professional licensing standards, may apply independently. Foundations increasingly require IRB review as a grant condition, and most journals expect it. In practice, "no legal requirement" usually means "you choose a level of independent ethical review appropriate to the risk," not "no review."
If you are considering whether to join an outside study as a site or data partner, rather than leading research yourself, our article on participating in AI research pilots covers the questions to ask before you agree, including who owns the data and who holds the IRB approval.
Federally supported
Non-exempt human subjects research funded by a Common Rule agency requires IRB review and, for engaged institutions, an FWA. Read every award's human subjects terms.
University partnered
University policies typically require IRB review of all human subjects research by their faculty and students, whatever the funding source.
Privately funded, in-house
The Common Rule may not apply, but state law, funder terms, publication norms, and ethics may still call for independent review.
Exempt Does Not Mean Unreviewed: How the Exemption Categories Work
Much nonprofit research that does qualify as human subjects research is low risk and falls into one of the exemption categories listed at 45 CFR 46.104(d). Exempt research is not subject to most of the Common Rule's requirements, including full board review and continuing review. The word "exempt" causes confusion, though. It describes a category of research, not a decision you can make for yourself. OHRP's FAQ on exempt research determinations notes that while the regulations do not strictly require someone other than the investigator to decide, OHRP has long recommended against giving investigators independent authority to make exemption determinations because of the obvious conflict of interest. Universities and independent IRBs almost always require that an IRB office make the call.
The categories most relevant to nonprofits are worth knowing so you can design studies that fit them. Category 1 covers research in established educational settings involving normal educational practices that are "not likely to adversely impact students' opportunity to learn." Category 2 covers surveys, interviews, educational tests, and observation of public behavior, provided that responses are recorded so participants cannot readily be identified, or that disclosure would not put participants at risk of legal liability or damage their financial standing, employability, educational advancement, or reputation, or that an IRB conducts a "limited IRB review" focused on privacy and confidentiality protections. Category 3 covers benign behavioral interventions with adults who agree to take part. Category 4 covers certain secondary research uses of identifiable information, such as when the information is publicly available or recorded so that participants cannot readily be identified and the investigator will not re-identify them.
Category 5 deserves special mention for nonprofits that deliver federal programs. It covers research and demonstration projects conducted or supported by a federal department or agency, or subject to the approval of an agency head, that are designed to study or evaluate public benefit or service programs. The agency must publish a list of these projects on a publicly accessible federal website before the research begins. If your organization is participating in a federally sponsored evaluation of a benefits or services program, the sponsoring agency may handle this, but confirm it in writing.
Exemptions have limits. They do not generally apply to research involving prisoners, except where prisoners are only incidentally included in research aimed at a broader population. For research involving children, category 2 applies only to educational tests or observation of public behavior where the investigator does not participate, and the limited IRB review pathway is not available. Exemption also does not remove ethical obligations. Most IRBs still expect exempt studies to give participants clear information about the study and their right to decline, even though the full set of consent elements is not required.
Designing Toward an Exemption (Legitimately)
Choices that reduce risk and often simplify review
- Collect survey responses without names or other direct identifiers when you do not need to link them
- Give academic partners coded data and keep the key inside your organization
- Avoid sensitive questions about illegal activity, immigration status, or health unless essential
- Separate research questions involving minors from those involving adults where possible
- Still submit the design for a formal exemption determination and keep the letter
Whose IRB? University Partnerships, Reliance Agreements, and Independent IRBs
Most nonprofits do not have their own IRB, so the practical question is which IRB will review the work. In a university partnership, the answer is usually the university's IRB. Faculty, staff, and students are almost always required by institutional policy to obtain IRB review for human subjects research, regardless of funding source. When your organization is also engaged in the research, for example because your staff will recruit participants, obtain consent, or collect data, the two organizations typically sign a reliance agreement, sometimes called an IRB authorization agreement. Under that agreement, your organization relies on the university's IRB rather than establishing its own review. For federally funded cooperative research involving more than one US institution, university partnerships are also shaped by the single IRB requirement at 45 CFR 46.114(b), which generally requires engaged institutions to rely on one IRB of record.
Reliance agreements are useful but deserve careful reading. They spell out who is responsible for training staff in human subjects protections, who reports problems and to whom, whose policies govern data storage, and what happens if a participant files a complaint. Many universities will require your frontline staff to complete human subjects training, such as the widely used CITI Program modules, before they can recruit or consent anyone. Plan for that time. Also be aware that the university's IRB protects participants within the scope of the protocol, not your organization's broader interests. Data ownership, publication rights, how your organization is named in publications, and whether results will be shared with participants are matters for a separate data use or partnership agreement.
When there is no university partner, or the university IRB will not review work led by your staff, independent IRBs are an option. These are organizations, some for-profit and some nonprofit, that provide IRB review for a fee. Several handle social and behavioral studies as well as clinical trials. Fees vary considerably by provider and by type of review. Exemption determinations and minimal risk expedited reviews generally cost far less than full board reviews, and some providers offer reduced rates for nonprofits or for social science work. Request quotes from several providers, ask specifically about community-based and social services research experience, and ask whether their reviewers include community members. Any IRB reviewing research supported by HHS must be registered with OHRP, and you can check registration status through OHRP's public database.
Large research-focused nonprofits sometimes establish their own IRBs, which requires registration, written procedures, qualified members including at least one nonaffiliated member and one whose primary concerns are nonscientific, and ongoing administrative support. For most community organizations, the workload and expertise required make this impractical. A middle path some organizations use is an internal research review committee that screens proposed studies, decides which ones need outside IRB review, and handles data-sharing requests from outside researchers. That committee does not replace an IRB, but it creates a consistent front door so that requests do not get approved informally by whichever program manager a graduate student happens to email.
Questions for a university partner
- Is our organization engaged, and do we need a reliance agreement?
- Which of our staff need human subjects training?
- Can we review the protocol and consent form before submission?
- Where will data be stored, and which AI tools are approved for it?
Questions for an independent IRB
- What are your fees for determinations, exempt, expedited, and full board review?
- Do you have experience with social services and community-based studies?
- What is your typical turnaround time?
- Are you registered with OHRP, and are you accredited?
Vulnerable Populations and Informed Consent
Nonprofits often serve exactly the populations that the regulations treat with extra care. HHS's version of the Common Rule includes additional subparts for pregnant women and fetuses (Subpart B), prisoners (Subpart C), and children (Subpart D). Research involving children generally requires permission from parents or guardians and, when children are capable, their own assent. Research involving prisoners, a definition that can include people in jails, detention, and some court-ordered residential settings, requires additional IRB findings and is limited to specific categories. Reentry programs, juvenile justice organizations, and youth development nonprofits should flag these issues early, because they can change the type of review required and rule out exemptions.
Beyond the formal subparts, the regulations ask IRBs to consider whether participants are vulnerable to coercion or undue influence. That concern is especially relevant when the organization doing research is also the organization providing services. A family receiving rental assistance may feel unable to say no to a survey from the agency that controls their assistance, even if staff tell them participation is voluntary. People experiencing homelessness, people with limited English proficiency, people with cognitive disabilities, undocumented immigrants, and survivors of violence all raise distinct concerns. Good practice includes having someone other than the participant's case manager request consent, stating plainly and in writing that services will not change based on participation, and making declining as easy as agreeing.
Informed consent is the core protection. For non-exempt research, 45 CFR 46.116 lists required elements, including a statement that the study is research, its purposes and duration, the procedures, reasonably foreseeable risks and benefits, alternatives, confidentiality protections, whom to contact with questions, and a statement that participation is voluntary and that refusing or withdrawing involves no penalty or loss of benefits. The 2018 Requirements added an expectation that consent forms begin with a concise, focused presentation of the key information most likely to help a person decide, organized to facilitate understanding. That is a high bar for the long legalistic forms many studies still use. IRBs can also approve waivers or alterations of consent, or of written documentation of consent, under specific conditions, which is often relevant for minimal risk analyses of existing records.
Plain language, translation, and literacy all matter. A consent form written at a graduate reading level is not informed consent for many program participants. Our article on informed consent when AI is involved goes deeper on explaining AI use to clients in ways they can actually understand, which is increasingly something IRBs ask about.
Populations That Change the Review Picture
Raise these with the IRB at the very start
- Minors: parental permission and child assent; narrower exemptions
- Prisoners: additional subpart requirements; exemptions generally unavailable
- Pregnant participants: additional subpart considerations for some studies
- Service recipients: risk of perceived coercion when the provider is also the researcher
- Adults with impaired decision-making capacity: may require a legally authorized representative
Where HIPAA and FERPA Overlap With Research Rules
The Common Rule is not the only federal framework that touches nonprofit research. If your organization is a HIPAA covered entity, such as a community health center, behavioral health provider, or other organization that bills health plans electronically, protected health information is governed by the HIPAA Privacy Rule regardless of whether the Common Rule applies. Using or disclosing protected health information for research generally requires either the individual's written authorization or a waiver of authorization approved by an IRB or privacy board, unless the data are de-identified or shared as a limited data set under a data use agreement. HHS's de-identification guidance explains the two accepted methods: Safe Harbor, which requires removing 18 specified identifiers and having no actual knowledge that the remaining data could identify someone, and Expert Determination, in which a qualified expert concludes that the risk of re-identification is very small. Many social service nonprofits are not covered entities, but they may hold health information under contracts that impose similar obligations. Our guide to HIPAA and AI in healthcare nonprofits covers this in more detail.
FERPA governs personally identifiable information from student education records held by schools and districts that receive Department of Education funds. Nonprofits that run school-based programs, after-school tutoring, or college access services often want to use student records to evaluate outcomes. FERPA permits disclosure without consent under specific exceptions, including a studies exception for research conducted for or on behalf of the school or district, and an audit or evaluation exception for certain education program evaluations. Both require a written agreement that specifies the purpose, scope, and duration of the work, the information to be disclosed, and how it will be protected and destroyed. The Department of Education's Student Privacy Policy Office has a specific FAQ for community-based organizations conducting studies with school data. See our article on student privacy and FERPA for the broader picture.
These regimes stack rather than replace each other. A study by a community health nonprofit and a university, using identifiable patient records from students referred by a school district, could involve the Common Rule through the university, HIPAA through the health center, and FERPA through the district, each with its own paperwork. That is not a reason to avoid the study. It is a reason to map the data flows before the first meeting with the IRB, so everyone knows which rules attach to which data.
AI Tools and Participant Data: The New Research Ethics Questions
AI has made sophisticated analysis available to small evaluation teams. A program officer can transcribe twenty interviews, code themes, and summarize findings in an afternoon. The ethical questions arise from where the data goes along the way. Every time a transcript, survey export, or case file is uploaded to an AI tool, it is disclosed to a vendor under that vendor's terms of service. Depending on the product and plan, those terms may permit the vendor to retain inputs, have staff review them for safety, or use them to improve models. Consumer accounts and enterprise accounts of the same product often have very different terms. If your consent form told participants that only the research team would see their responses, uploading identifiable transcripts to a consumer chatbot may contradict what they were told.
Federal advisors have been working through these issues. The Secretary's Advisory Committee on Human Research Protections (SACHRP) issued recommendations on IRB considerations for the use of AI in human subjects research, which discuss how identifiability, bias, and the reuse of data for AI raise questions that existing rules do not fully address. In practice, many university IRBs now ask researchers to name the specific AI tools they will use, describe how data will be processed and stored, and explain whether those tools are approved under institutional data security policies. Expect to answer those questions, and answer them precisely.
Interview and focus group recordings deserve special care. Voice recordings are inherently identifiable, and transcripts frequently contain names, places, employers, and stories distinctive enough to identify someone even after obvious names are removed. Meeting transcription assistants that join calls automatically may capture participants who never agreed to be recorded by a third-party service. Our review of AI meeting note-takers and client privacy explains what to look for. For qualitative analysis, the guidance in AI qualitative coding of survey responses pairs well with the safeguards below.
De-identification before AI analysis is often the best single safeguard, but it is harder than it looks. Removing names is not enough when a participant describes being "the only Somali-speaking nurse at the county hospital." Some teams use AI itself to flag potential identifiers in transcripts, which can speed redaction, but a person needs to review the results because automated redaction misses context-dependent details. For the most sensitive data, consider tools that run on your own hardware so data never leaves your control, an approach covered in our guide to local AI for privacy.
Data Handling Safeguards
Describe these in your protocol
- Use enterprise or institutionally approved AI accounts with training on inputs disabled
- Review vendor terms on retention, human review, and model training
- De-identify transcripts and exports before upload, with human verification
- Keep a log of which tools touched which datasets
- Get a business associate agreement before sending protected health information to a vendor
Consent Language to Consider
Tell participants what will actually happen
- That recordings will be transcribed by a software service, and which kind
- Whether AI tools will help analyze responses, and whether data is de-identified first
- How long recordings and transcripts are kept and when they are destroyed
- Whether data may be reused for future studies, including AI-related ones
Using AI to Prepare Protocols, Consent Forms, and Determination Requests
AI is also genuinely helpful on the paperwork side, which is where many small teams get stuck. IRB applications ask for a structured description of the study's purpose, population, recruitment, procedures, risks, benefits, data management, and consent process. Program staff usually know all of this, but translating it into the format an IRB expects takes time. A language model can turn a project description and a few planning notes into a first draft of each protocol section, flag questions the IRB is likely to ask, and suggest where the design is unclear.
Consent forms are a particularly good fit. You can ask an AI assistant to rewrite a draft consent form at a lower reading level, to create the concise key information section required by the 2018 Requirements, to produce a version in another language for a fluent reviewer to check, or to generate a short verbal consent script for phone interviews. You can also ask it to compare a draft against the required elements in 45 CFR 46.116 and list anything missing. The output is a draft for human review, not a finished document. AI tools can confidently cite regulatory requirements that do not exist or mix up the pre-2018 and current rules, so verify every regulatory reference against the source.
One of the most useful and underused documents is a determination request memo. Many IRBs, including most independent IRBs and university offices, will review a short description of a project and issue a written determination that it is not human subjects research, that it is exempt, or that it needs further review. A clear memo describes the project's purpose, who designed it, who will see the results, what data will be collected, whether it is identifiable, and whether services are changed for the study. AI can help you assemble that memo from your planning documents. The determination itself, however, must come from the IRB or an authorized institutional official, and the letter they issue is the document you keep on file and cite to funders and journals.
Do not paste identifiable participant data into an AI tool to draft these documents. You almost never need it. Protocol drafting needs descriptions of the study, not the data.
AI can draft
Protocol sections, plain language consent forms, key information summaries, recruitment scripts, and determination request memos.
Humans must verify
Regulatory citations, accuracy of procedures, translations, and whether the consent form reflects what will really happen.
The IRB decides
Whether the activity is research, whether it is exempt, the level of review, and whether consent may be waived or altered.
A Practical Workflow for Your Organization
Organizations that handle these questions well tend to have a simple, written process rather than relying on whichever staff member happens to know about IRBs. That process does not need to be elaborate. It needs to make sure that every new study, data request, or evaluation with an outside partner gets the same basic screening, and that decisions are documented. The steps below are a reasonable starting point for most small and mid-sized nonprofits.
It also helps to write a short research and data-sharing policy that your board approves. The policy can state that your organization participates in research only when it has an IRB determination on file, that outside researchers must submit a request through a designated staff member, that identifiable participant data will not be shared without appropriate agreements, and that AI tools may be used with participant data only when they meet your data governance standards. A policy like this protects staff, who can point to it when a well-meaning researcher pushes for quick access, and it protects participants, whose trust is the foundation of your work.
Seven Steps Before Any New Study
Screen early, document everything
- 1. Describe the purpose. Write two paragraphs on what you want to learn, who will use the findings, and why.
- 2. Map the data. List what you will collect, from whom, whether it is identifiable, where it will be stored, and which tools, including AI, will process it.
- 3. Check funding and partners. Identify federal funding, university involvement, and any award terms that reference human subjects protections.
- 4. Flag populations and regimes. Note minors, people in custody, health data, and education records.
- 5. Request a determination. If there is any doubt, send a determination memo to a university or independent IRB before collecting data.
- 6. Prepare consent and agreements. Draft plain language consent and any reliance, data use, FERPA, or HIPAA agreements.
- 7. Keep the record. File the determination letter, approved protocol, and consent forms where future staff can find them.
When in doubt, ask early. A determination request takes far less effort before data collection than an explanation afterward. Most IRBs cannot approve research that has already been done, and data collected without required review may be unusable for publication or for the funder who asked for rigor in the first place.
Conclusion
Most nonprofit data collection is program evaluation or quality improvement, and it does not need IRB review. The line is crossed when a study is designed to contribute to generalizable knowledge and involves people through interaction, intervention, or identifiable private information. Whether the Common Rule then legally applies depends on federal support, institutional engagement, university partners, and in some states, state law. Exemptions cover a great deal of low-risk social research, but an IRB or institutional official should make that determination, not the team running the study. Vulnerable populations, informed consent, HIPAA, and FERPA all add considerations that are easier to address at the design stage than after the fact.
AI changes both sides of this work. It creates new disclosures of participant data that consent forms and protocols must describe honestly, and it calls for careful de-identification, vendor review, and data governance. It also makes the administrative side more manageable, helping small teams draft protocols, plain language consent forms, and determination memos that they can then bring to an IRB for review.
This article is educational and is not legal advice. If you are unsure whether a project needs review, the most reliable next step is simple: write up what you plan to do and ask an IRB. Building that habit protects the people you serve, protects your organization's credibility, and makes your evaluation findings stronger and more useful to the field.
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We help nonprofits design evaluations, set up research and data-sharing policies, and use AI tools with participant data responsibly, so your findings are credible and your participants are protected.
