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A Research Policy is a formal organizational document that establishes the standards, ethical principles, approval procedures, and data governance requirements that apply to all research activities conducted by or on behalf of an organization. It defines what qualifies as research, who has authority to approve and oversee it, how participants must be protected, who owns the resulting findings, and how outputs must be reported. Unlike a project-specific research protocol, a research policy is a standing governance document that applies across every study, team, and research type the organization undertakes β from customer surveys and product usability tests to clinical investigations and academic partnerships.
Without a documented research policy, research standards are set informally by whoever is running each project β leading to inconsistent consent practices, undisclosed conflicts of interest, ambiguous IP ownership, and data handling that may not comply with applicable privacy regulations. In regulated industries, the absence of a formal policy is itself a compliance failure that can trigger regulatory scrutiny or disqualify an organization from grant funding. Beyond compliance, a research policy protects the credibility of your findings: funders, partners, and stakeholders are increasingly requiring evidence of documented governance before relying on or funding organizational research. This template gives you a professionally structured starting point that covers every critical component β scope, ethics, approvals, data management, IP, and review obligations β so you can implement sound research governance in hours rather than weeks.
| If your situation is⦠| Use this template |
|---|---|
| Governing academic or faculty-led research at a university | Academic Research Policy |
| Regulating clinical trials or patient-facing research | Clinical Research Policy |
| Managing market and consumer insights research for a business | Market Research Policy |
| Overseeing internal product development and R&D activities | R&D Research Policy |
| Documenting data collection and privacy standards for research | Research Data Management Policy |
| Setting ethical standards for third-party or contracted research | Third-Party Research Ethics Policy |
| Establishing rules for employee participation in external research | Employee Research Participation Policy |
Why it matters: Capturing every data-related activity under 'research' creates an approval bottleneck that causes teams to route around the policy rather than follow it.
Fix: Add an explicit list of excluded activities β routine competitive benchmarking, internal performance reporting, and desk research β in the scope section.
Why it matters: A policy without an owner becomes outdated within 18 months as regulations, tools, and organizational structures change β staff stop treating it as authoritative.
Fix: Assign a specific role title as policy owner, enter a review date 12 months from publication, and add a version history table to track all amendments.
Why it matters: When consent forms are referenced but not provided, researchers draft their own versions β which often omit required disclosures and create inconsistent participant documentation.
Fix: Attach approved consent form templates as numbered appendices and include a clause requiring researchers to use only those approved versions.
Why it matters: Financial or professional conflicts frequently arise mid-project β a policy that only requires upfront disclosure misses the most common real-world scenarios and leaves the organization exposed.
Fix: Add a requirement for researchers to re-submit a disclosure form whenever a new potential conflict arises during the project lifecycle.
Open the purpose and scope section and list the specific research activities your organization conducts β e.g., customer surveys, product usability testing, competitive analysis, or clinical studies. Exclude activities that don't require governance to keep the policy actionable.
π‘ Attach a one-paragraph scope exclusion statement listing what the policy does not cover (e.g., routine internal data pulls or informal competitive benchmarking) to prevent scope creep.
Review the template definitions and remove any that don't apply to your research activities. Add organization-specific terms β e.g., your internal name for the review committee or your classification categories for research risk levels.
π‘ Cross-reference your definitions with any existing data protection or IP policies to ensure consistent terminology across documents.
List the ethical standards your organization upholds and add a single sentence for each stating what a breach looks like and who is responsible for investigating it.
π‘ If your organization is subject to a sector-specific code of ethics (e.g., MRS Code of Conduct for market researchers, or Declaration of Helsinki for clinical research), reference it by name in this section.
Map your internal approval process: who submits, who reviews, who approves, what the escalation path is, and how long each stage takes. Enter specific role titles rather than team names so accountability is clear when personnel change.
π‘ Build in a fast-track pathway for low-risk or time-sensitive research (e.g., brief customer satisfaction surveys with no sensitive data) to prevent the full process from becoming a bottleneck.
Name the approved storage systems, state the pseudonymization timeline, and enter the exact retention period for raw data. Cross-reference your organization's data protection policy or privacy notice to avoid conflicting requirements.
π‘ If your organization processes data from EU residents, align retention periods with GDPR's data minimization principle β typically no longer than necessary for the research purpose.
Review the informed consent section and adjust the disclosure requirements based on who your research participants are β employees, customers, or the public β and what data you collect. Add language for vulnerable populations if applicable.
π‘ Store consent form templates as appendices to the policy so researchers can locate and use the approved version rather than drafting their own.
Enter the organization's legal name as the IP owner and specify the exact role (e.g., Chief Research Officer, VP of Strategy) whose written approval is required before any external publication or presentation of findings.
π‘ If you regularly partner with universities or research firms, add a co-ownership clause specifying the default split and the process for negotiating exceptions.
Enter the next review date (12 months from effective date is standard), assign a named policy owner by role title, and complete the version history table with the current version number and effective date.
π‘ Calendar a policy review reminder 60 days before the review date so the owner has time to gather stakeholder input before the deadline.
A research policy is a formal organizational document that establishes the standards, ethical principles, approval processes, and data management requirements governing how research activities are conducted within an organization. It applies to any systematic investigation β surveys, experiments, observational studies, or secondary data analysis β conducted by employees, contractors, or partners on the organization's behalf. Its primary function is to ensure research integrity, protect participants, and safeguard the organization's legal and reputational standing.
Any organization that commissions or conducts research as a regular activity needs a formal research policy. This includes universities governing faculty and student research, corporations running market or product research programs, healthcare organizations conducting clinical or patient studies, and nonprofits required by funders to demonstrate evidence-based evaluation. Even small businesses that regularly survey customers benefit from a documented framework.
A research policy is an organization-wide governance document setting the rules that apply to all research activities. A research protocol is a project-specific plan describing the objectives, methodology, and procedures for a single study. The policy sets the framework; the protocol applies it to a particular piece of work. Every research protocol should be designed in compliance with the overarching policy.
Yes β ethics coverage is one of the most important components of a research policy. At minimum, it should address informed consent, participant welfare, data integrity, conflict of interest, and accurate reporting of findings. Organizations in regulated sectors (healthcare, pharmaceuticals, financial services) typically need to reference specific sector codes or regulations β such as the Declaration of Helsinki or applicable IRB requirements β in the ethics section.
Annual review is the standard for most organizations. A review should also be triggered by any significant regulatory change affecting data privacy or research ethics, a major research incident or misconduct finding, or a significant change in the types of research the organization conducts. Assigning a named policy owner and calendaring the review date at publication ensures the review actually happens.
Yes β any research involving human participants or identifiable data must address how that data is collected, stored, accessed, retained, and disposed of in a manner consistent with applicable privacy regulations. For organizations operating in or collecting data from the EU, GDPR requirements around data minimization, consent, and retention periods must be reflected in the policy. In the US, sector-specific rules (HIPAA for healthcare, FERPA for education) may also apply.
Without a research policy, individual researchers or teams set their own standards β leading to inconsistent data quality, undisclosed conflicts of interest, inadequate consent procedures, and unclear IP ownership. In regulated industries, the absence of a documented policy can constitute a compliance failure that triggers regulatory investigation or disqualifies the organization from grant funding. Reputational damage from publicized research misconduct is typically far more costly than the time required to implement a policy.
Yes, particularly for organizations where research outputs β datasets, methodologies, findings, or publications β have commercial or competitive value. The IP section should confirm organizational ownership of all research outputs, require researchers to assign any relevant rights, specify authorization requirements for external publication, and address co-ownership scenarios when research is conducted with external partners such as universities or contract research organizations.
A research protocol is a project-level document describing the methodology, objectives, and procedures for a single study. A research policy is an organization-wide governance framework that sets the rules all protocols must follow. You need the policy to exist before a protocol can be properly validated against it.
A data management policy focuses specifically on how all organizational data β not just research data β is collected, stored, accessed, and disposed of. A research policy addresses data management as one component within a broader framework that also covers ethics, consent, IP, and approval governance. Organizations typically need both documents.
A code of conduct sets broad behavioral standards for all employees across every aspect of their work. A research policy applies those standards specifically to research activities, adding procedural requirements β approval workflows, consent forms, IP assignment β that a general code of conduct does not cover.
A research proposal is a document seeking approval or funding for a specific planned study, describing its rationale, methodology, and budget. A research policy is the standing governance document that determines whether the proposal meets the organization's ethical and procedural standards. The proposal is submitted; the policy governs how it is evaluated.
Faculty and student research governance, IRB compliance, grant funding conditions, and publication ethics requirements.
Clinical trial protocols, patient consent requirements, IRB oversight, and regulatory submissions to bodies such as the FDA or EMA.
User research and usability testing standards, data minimization for product analytics, and IP protection for proprietary research methodologies.
Client research confidentiality, methodology standards for published thought leadership, and conflict-of-interest management across engagements.
| Path | Best for | Cost | Time |
|---|---|---|---|
| Use the template | Small to mid-size organizations conducting standard market, product, or customer research with no clinical or heavily regulated component | Free | 2β4 hours to customize and finalize |
| Template + professional review | Organizations in regulated sectors, those receiving grant funding with specific governance requirements, or those managing research partnerships with universities | $300β$800 for a compliance advisor or legal review | 3β5 business days |
| Custom drafted | Healthcare organizations with IRB obligations, pharmaceutical companies with clinical trial programs, or institutions subject to federal research integrity regulations | $1,500β$5,000+ for specialist legal or compliance drafting | 2β4 weeks |
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