Scientific Integrity and Ethical Decision-Making - Sustainable Catalyst

Last Updated May 9, 2026

Scientific integrity matters because knowledge cannot serve the public good if the processes that generate, evaluate, communicate, and apply it are distorted by dishonesty, suppression, manipulation, carelessness, conflicts of interest, or institutional pressure. Ethical decision-making in science is therefore not a secondary matter of professional etiquette. It is part of the moral architecture of trustworthy inquiry.

When evidence is fabricated, falsified, selectively reported, politically pressured, poorly reviewed, overstated, or communicated in misleading ways, the damage extends beyond a single study. Public trust is weakened, institutions lose legitimacy, policy becomes less reliable, and the conditions for responsible collective judgment are degraded. Science does not become publicly valuable merely because it produces findings. It becomes publicly valuable when its findings can be trusted as the result of disciplined, transparent, accountable, and ethically serious inquiry.

The deeper reason this issue belongs in Stewardship & Ethics is that science operates inside institutions, funding systems, professional hierarchies, publication structures, technological infrastructures, public controversies, and policy environments that can either protect or corrode integrity. Scientific integrity is not only about the character of individual researchers. It is also about the design of research environments, the quality of mentorship, the pressures attached to publication and prestige, the influence of funders and political actors, and the norms governing authorship, peer review, data stewardship, public communication, and correction.

A scientific culture can speak constantly of excellence while quietly rewarding exaggeration, opacity, haste, prestige-seeking, selective disclosure, and strategic silence. Under such conditions, the ethical problem is not incidental to research. It is built into the way research is organized.

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Series context: This article is part of the Stewardship & Ethics content pillar, which examines responsibility, dignity, justice, care, ecological accountability, institutional trust, intergenerational obligation, and the ethical foundations of sustainable human futures.

Editorial science illustration showing a central scientific integrity review table surrounded by scientists, peer reviewers, data stewards, and policy actors, with research workflows, transparent evidence systems, reproducibility tools, and darker panels depicting conflicts of interest, selective reporting, publication pressure, and other threats to trustworthy inquiry. — Scientific integrity depends on ethical judgment, transparent evidence, accountable institutions, and research cultures capable of protecting knowledge from distortion, pressure, and misuse.

This article argues that scientific integrity and ethical decision-making should be understood as central to sustainable systems, public legitimacy, and responsible governance. It examines what scientific integrity means, why ethical decision-making is inseparable from reliable inquiry, how integrity differs from mere compliance, why institutional incentives matter, how conflicts of interest and external pressures threaten good judgment, why transparency and accountability are essential, and why trustworthy science requires both individual virtue and institutional design capable of protecting evidence from distortion.

Why This Belongs in Stewardship & Ethics

Scientific integrity belongs in Stewardship & Ethics because scientific knowledge is a public trust. Research does not only produce information for laboratories, journals, universities, agencies, firms, or expert communities. It helps shape health policy, environmental regulation, technological development, public safety, climate governance, infrastructure planning, medical practice, food systems, risk assessment, and democratic decision-making.

That influence creates responsibility. Scientists, research institutions, journals, funders, regulators, public agencies, and technical experts exercise power whenever their claims affect what societies believe, regulate, build, finance, prohibit, permit, or delay. Scientific integrity is therefore not merely an internal professional norm. It is part of the ethical infrastructure of public life.

A stewardship frame asks whether knowledge is being generated and communicated in ways worthy of reliance. It asks whether evidence has been produced honestly, whether uncertainty has been represented carefully, whether conflicts have been disclosed, whether methods are transparent enough for scrutiny, whether errors can be corrected, and whether institutions protect researchers from pressure to distort findings.

This matters because science often operates under conditions where the public cannot independently reproduce every result or inspect every methodological choice. Trust fills that gap, but trust is justified only when the systems behind knowledge claims are ethically serious. If research environments reward speed over rigor, prestige over correction, funder interest over independence, or institutional reputation over honesty, then trust becomes fragile.

Stewardship & Ethics therefore treats scientific integrity as a form of responsibility over shared knowledge. The question is not only whether individual researchers avoid misconduct. It is whether scientific institutions are designed to protect truth-seeking under pressure.

What Scientific Integrity and Ethical Decision-Making Mean

Scientific integrity refers to the norms, practices, and institutional conditions that make scientific work trustworthy. It includes honesty in proposing, conducting, reviewing, managing, and communicating research; transparency about methods and limitations; accountability for claims; and protection against suppression, manipulation, careless reporting, and inappropriate influence.

Ethical decision-making refers to the exercise of judgment required when rules alone do not fully resolve what should be done. In science, this includes how uncertainty is represented, how evidence is handled, how credit is assigned, how data are stewarded, how participants are protected, how risk is weighed, how conflicts are disclosed, and how responsibilities to collaborators, institutions, affected communities, policymakers, and the public are interpreted.

This matters because science is not only a technical process. It is also a social practice that depends on trust. Data, methods, interpretation, criticism, replication, peer review, publication, and public communication all presuppose that participants are committed to standards that make knowledge claims credible. Scientific integrity is therefore not an external moral decoration applied to research after the fact. It is one of the conditions under which research counts as responsible inquiry at all.

Scientific integrity includes at least four dimensions:

epistemic integrity: evidence is gathered, analyzed, interpreted, and reported honestly;
professional integrity: authorship, review, mentorship, collaboration, and credit are handled responsibly;
institutional integrity: research environments protect inquiry from corrupting incentives and inappropriate influence;
public integrity: scientific findings are communicated in ways that respect uncertainty, public consequence, and democratic accountability.

Ethical decision-making becomes necessary because science is not governed by automatic rules alone. Researchers must decide what counts as sufficient disclosure, how much uncertainty to emphasize, when a limitation is material, when an apparent anomaly should be investigated, when public communication risks overstatement, and when institutional pressure threatens independent judgment.

Integrity lives in those decisions.

Why Scientific Integrity Is a Moral and Public Question

Scientific integrity is a moral and public question because the consequences of distorted science extend beyond the laboratory, grant proposal, dataset, or journal article. Public health guidance, environmental regulation, safety standards, technological development, medical practice, climate adaptation, biodiversity protection, food systems, and democratic policy all depend in part on whether scientific claims are produced and communicated in trustworthy ways.

When evidence is corrupted, withheld, exaggerated, or strategically misrepresented, harms may be redistributed across populations that never consented to bear the cost of bad judgment. A weak drug-safety study can affect patients. A distorted pollution assessment can affect communities. A manipulated climate analysis can delay action. A suppressed workplace-safety finding can endanger workers. A misleading model can reshape policy, investment, or public behavior.

This matters because integrity is tied directly to legitimacy. Scientific institutions ask the public, policymakers, and other researchers to rely on claims that cannot always be independently verified from scratch. That reliance is justified only when the processes behind those claims are governed by honesty, rigor, transparency, and accountability.

Trust in science is therefore not sustained by expertise alone. It is sustained by practices that justify confidence in how expertise is exercised.

In this respect, scientific integrity also belongs to the ethics of power. Expertise confers influence. Research findings can shape regulation, markets, health behavior, environmental planning, technological adoption, litigation, and international governance. When that influence is exercised without integrity, the problem is not merely epistemic. It is political and moral. Distorted science can license harmful action, delay needed intervention, or shield institutions from accountability while still appearing technical and neutral.

The moral seriousness of scientific integrity lies in this fact: bad knowledge can become bad governance when institutions rely on it.

Beyond Misconduct: Integrity as a Positive Standard

Scientific integrity is often discussed through the language of misconduct, especially fabrication, falsification, and plagiarism. Those categories remain essential because they identify serious violations that directly undermine the reliability of research. Fabrication invents evidence. Falsification manipulates evidence. Plagiarism misappropriates work and misrepresents intellectual responsibility.

But integrity is broader than the avoidance of explicit misconduct. It also includes rigorous methods, complete reporting, accurate statistical representation, proper supervision, ethical collaboration, careful archiving, responsible authorship, fair peer review, transparency about uncertainty, and openness to criticism and correction.

This matters because a scientific culture can avoid formal misconduct findings and still drift into ethically compromised practice. Selective reporting, strategic ambiguity, ghost authorship, careless recordkeeping, inappropriate image manipulation, undisclosed conflicts of interest, weak mentorship, publication bias, citation manipulation, and pressure to oversell novelty can erode trust even when they do not rise to the threshold of prosecutable fraud.

Integrity is therefore best understood not only as a boundary against wrongdoing but as a positive standard of responsible scientific conduct.

That broader standard is important because science rarely fails only through dramatic scandal. More often it fails through tolerated habits of omission, haste, and rationalization. A lab that cuts corners under deadline pressure, a journal that favors novelty over rigor, a senior author who takes credit without real accountability, a funder that discourages inconvenient findings, or a press release that oversells uncertain results may all contribute to epistemic harm without producing a headline case of fraud.

Scientific integrity is strongest when it is treated as a culture of good practice, not only as a compliance regime aimed at catching the worst actors.

Ethical Decision-Making Under Uncertainty, Pressure, and Ambiguity

Ethical decision-making becomes especially important in science because many real cases arise in gray zones rather than in obvious violations. Researchers face ambiguity about authorship order, supervisory responsibility, data exclusion, replication thresholds, method disclosure, negative results, statistical interpretation, participant risk, public communication, and the handling of incomplete or surprising findings.

They also face pressures from career incentives, grant competition, institutional expectations, media attention, sponsor interests, publication demands, policy urgency, and political controversy. These pressures do not automatically produce misconduct. But they can make ethically compromised decisions appear normal, necessary, or professionally convenient.

This matters because integrity cannot be secured by written rules alone. Rules can prohibit fabrication, but they cannot by themselves generate mature judgment about when a limitation should be disclosed more clearly, when a result is being oversold, when a collaborator is being treated unfairly, when a finding should be corrected, or when an institutional expectation is ethically corrosive.

Many failures emerge not from a single dramatic breach but from incremental rationalizations:

excluding inconvenient data without adequate justification;
describing exploratory findings as confirmatory;
delaying publication of negative results;
allowing funder language to shape interpretation;
minimizing uncertainty for policy or media impact;
treating junior researchers as labor without proper credit;
avoiding correction because reputational damage would be uncomfortable.

Scientific integrity therefore requires practical wisdom as well as policy. It asks whether researchers and institutions can recognize the moral significance of small decisions before they accumulate into large distortions. An ethically serious scientific culture does not simply punish obvious wrongdoing after the fact. It cultivates judgment capable of resisting the subtle pressures that corrode inquiry from within.

Truthfulness, Transparency, and the Discipline of Evidence

At the center of scientific integrity is truthfulness disciplined by evidence. This means not only avoiding falsehood, but representing evidence proportionately, disclosing uncertainty honestly, distinguishing results from interpretation, and resisting the temptation to make claims more definite, novel, dramatic, or politically convenient than the evidence warrants.

Transparency strengthens this discipline by allowing methods, assumptions, limitations, data, code, protocols, and potential sources of error to remain open to scrutiny where appropriate. Transparency does not mean that all data can always be made public without restriction. Privacy, Indigenous data sovereignty, national security, participant protection, commercial confidentiality, and ethical obligations may require limits. But the default norm of science should favor enough openness to allow responsible criticism, replication, verification, and correction.

This matters because science is self-correcting only under conditions where correction is possible. Hidden methods, inaccessible data, selective presentation, undisclosed deviations, and overstated claims weaken that possibility. Transparency does not guarantee truth, but it makes responsible criticism, replication, and revision more feasible.

Truthfulness in science also includes disciplined modesty. Ethical communication requires that researchers say what their findings support and no more. Overstatement can be as corrosive as concealment, especially when preliminary, context-dependent, or weakly replicated results are presented as firm conclusions.

This is particularly important in public-facing science. Press releases, interviews, policy briefs, visualizations, and institutional communications often simplify complex findings. Simplification is sometimes necessary. Misrepresentation is not. Ethical communication requires clarity without distortion, accessibility without exaggeration, and public relevance without abandoning uncertainty.

The ethical burden of scientific communication is therefore not only to speak, but to speak in proportion to what the evidence can bear.

Authorship, Peer Review, and Professional Responsibility

Authorship and peer review are two of the clearest places where scientific integrity becomes visible as professional responsibility. Authorship is not only about credit. It is also about accountability for the content of published work. Inflated authorship, honorary authorship, ghost authorship, coercive authorship, and ambiguous contribution claims all weaken the connection between credit and responsibility.

Peer review, likewise, is not only a technical filter. It is an ethical practice requiring fairness, confidentiality, competence, independence, and honesty about what a reviewer can and cannot judge. Reviewers should not exploit privileged access to unpublished work, delay competitors unfairly, weaponize anonymity, or allow personal rivalry to shape evaluation.

This matters because science depends on distributed trust. Researchers rely on one another not because every claim can be independently verified from scratch, but because institutions of authorship, review, replication, and correction make accountability possible. When those institutions are used opportunistically, scientific communication becomes less trustworthy even if the language of professionalism remains intact.

Professional responsibility in science therefore includes more than doing one’s own work carefully. It also includes treating the shared record with seriousness.

Several duties follow:

authors should accurately represent contribution and responsibility;
senior researchers should not exploit junior collaborators;
reviewers should evaluate work fairly and within their competence;
editors should not confuse prestige with rigor;
journals should value correction and replication, not only novelty;
institutions should protect good-faith criticism and correction.

Scientific communities become more trustworthy when responsibility for integrity is treated as collective rather than merely personal. The reliability of science depends on professional norms that make truth-seeking more important than status protection.

Conflicts of Interest, Power, and Inappropriate Influence

Scientific integrity is especially vulnerable where evidence is entangled with power. Conflicts of interest do not automatically invalidate research, but undisclosed or unmanaged conflicts can distort incentives, interpretations, publication decisions, and public trust. External pressures can come from sponsors, employers, political actors, advocacy groups, media incentives, institutional agendas, or regulatory stakes.

Scientific work is rarely insulated from such pressures entirely. That is why integrity requires structures that make influence visible, governable, and limited.

Ethical failure in science often occurs through influence that appears ordinary rather than dramatic. A funding relationship may subtly shape which questions are asked. A political office may pressure a scientific unit to soften language or delay release. A researcher may understate uncertainty in order to attract attention or resources. A reviewer may disadvantage a rival. A journal may favor sensational claims because they increase visibility. An institution may resist correction because correction threatens prestige.

None of these possibilities are fully eliminated by good intentions alone.

Scientific integrity therefore requires conflict disclosure, institutional independence, transparent communication channels, audit trails, protected dissent, and norms strong enough to protect scientific judgment when it becomes inconvenient to powerful actors. Without such protections, the language of evidence can be instrumentalized while its integrity is quietly compromised.

The core issue is not only whether conflicts exist, but whether institutions are designed to prevent conflicts from becoming distortions. A conflict that is disclosed, managed, and monitored differs ethically from one that is hidden, denied, or allowed to shape conclusions without public accountability.

Power does not always silence science directly. Sometimes it nudges, delays, rewards, disciplines, filters, and reframes. Scientific integrity must be strong enough to recognize those quieter forms of distortion.

Institutions, Incentives, and the Culture of Research

Scientific integrity is never only an individual matter. Institutions shape what kinds of behavior are rewarded, ignored, investigated, or normalized. Publication pressure, funding competition, prestige hierarchies, insecure employment, weak mentoring, inadequate oversight, and poorly designed accountability systems can all create environments in which ethically compromised decisions become more likely.

This matters because exhorting researchers to behave ethically while leaving corrupting incentives intact is insufficient. An institution that rewards novelty over rigor, output over care, media attention over replication, or strategic silence over transparent correction is already shaping ethical outcomes.

Scientific integrity therefore requires institutional design that aligns incentives with trustworthy practice rather than merely punishing failures after damage occurs.

A culture of integrity includes:

clear authorship and contribution standards;
responsible mentorship and supervision;
training in research ethics and responsible conduct;
secure reporting channels for integrity concerns;
protection for whistleblowers and good-faith critics;
support for replication, negative results, and correction;
data stewardship infrastructure;
conflict-of-interest review;
leadership willing to defend evidence-based judgment under pressure.

Institutional culture matters because researchers learn not only from formal policies but from what institutions reward. If promotion depends primarily on publication count, funding volume, media visibility, or impact metrics detached from rigor, then institutional incentives may undermine the ethical culture they publicly endorse.

A culture of integrity must be built, not presumed. Where institutions fail to do this, they do not merely host ethical failure. They help produce it.

Data Stewardship, Open Science, and the Ethics of Reproducibility

Scientific integrity increasingly depends on data stewardship. Modern research often relies on large datasets, complex code, computational models, sensors, simulations, imaging pipelines, machine-learning systems, shared databases, and collaborative infrastructures. Under these conditions, responsible science requires more than a final publication. It requires attention to how data are collected, stored, documented, cleaned, transformed, analyzed, shared, protected, and preserved.

Reproducibility is not merely a technical preference. It is an ethical commitment to making scientific claims accountable. When methods, code, data provenance, statistical decisions, and analytical workflows are hidden or poorly documented, the scientific community’s ability to verify claims is weakened. Reproducibility makes correction possible. It also protects against accidental error, selective reporting, and unrecognized methodological fragility.

Open science can strengthen integrity by making research more transparent, collaborative, and reviewable. Pre-registration, registered reports, data repositories, code sharing, open peer review, preprints, replication studies, and transparent reporting guidelines can all improve accountability when used responsibly.

But openness is not simple. Some data cannot ethically be released without protecting privacy, community rights, cultural protocols, Indigenous data sovereignty, security, or participant consent. Scientific integrity therefore requires careful judgment: openness should be maximized where it strengthens accountability, but not at the expense of people and communities whose data require protection.

Data stewardship asks several ethical questions:

Can the data be traced to their source and collection context?
Are methods and transformations documented clearly?
Can others reproduce the analysis where appropriate?
Are privacy, consent, and community rights protected?
Are limitations and missingness honestly disclosed?
Is code or workflow documentation sufficient for scrutiny?
Is the data infrastructure durable enough to preserve the scientific record?

In computational and data-intensive science, integrity increasingly depends on whether research outputs remain inspectable, reproducible, and responsibly governed after publication.

Scientific Integrity, Public Trust, and Policy Legitimacy

Scientific integrity matters for public trust because science often informs decisions that affect people far beyond the research community. Health guidance, environmental standards, risk assessment, product safety, climate policy, emergency response, infrastructure planning, and technological governance all rely in part on whether relevant evidence has been produced and used responsibly.

Trust does not require that science be infallible. Science advances through uncertainty, criticism, correction, disagreement, and revision. What trust requires is that error be handled honestly, uncertainty communicated carefully, findings protected from distortion, and corrections treated as signs of integrity rather than institutional embarrassment.

Policy legitimacy can be weakened from two directions at once: by the corruption of science and by the cynical misuse of scientific uncertainty. If evidence is manipulated, trust erodes. If uncertainty is exaggerated strategically to delay action, trust also erodes. Scientific integrity helps resist both dangers by protecting the conditions under which evidence can inform public judgment without being presented as omniscient or treated as politically disposable.

In this sense, scientific integrity has democratic significance. It does not replace politics, values, deliberation, or public judgment. Science can inform what is known, likely, uncertain, or risky; it cannot alone decide what trade-offs a society should accept. But politics becomes less responsible when forced to operate on a knowingly corrupted evidentiary foundation.

Where evidence is integral to public decision-making, the integrity of science becomes part of the integrity of governance itself.

Scientific Integrity and Sustainable Systems

Scientific integrity belongs at the center of sustainable systems because sustainability depends heavily on knowledge about complex, uncertain, long-duration processes. Climate change, biodiversity loss, toxic exposure, infrastructure resilience, epidemiology, food systems, water security, energy transition, and technological risk all require evidence robust enough to inform policy under real conditions of contestation and uncertainty.

If that evidence is weak, distorted, suppressed, or strategically communicated, sustainable governance becomes far more difficult.

This matters because sustainable systems are especially vulnerable to delayed harm and long feedback loops. Where effects unfold slowly, pressures to overstate confidence, understate risk, or defer inconvenient findings can become strong. Scientific integrity is therefore not just a matter of good research hygiene. It is a condition of whether societies can recognize problems in time, respond proportionately, and preserve public trust while doing so.

Climate science, for example, requires careful communication about uncertainty without allowing uncertainty to become an excuse for inaction. Toxicology requires honest assessment of risk even when regulatory or commercial interests resist stronger findings. Biodiversity research requires attention to ecological complexity that may not fit simple policy categories. Public health research requires transparency about limitations while still enabling timely response.

Scientific integrity supports sustainability by helping societies distinguish uncertainty from ignorance, precaution from panic, and evidence-based action from opportunistic distortion.

Sustainable systems need trustworthy science because they depend on collective decisions made before all consequences are fully visible.

Why Scientific Integrity Remains Contested

Scientific integrity remains contested because it sits at the intersection of truth-seeking, institutional power, professional ambition, political conflict, public expectation, and economic interest. Disagreement persists over how much transparency is sufficient, how strongly conflicts should be regulated, how to balance openness with confidentiality, how to distinguish error from negligence, how to protect dissent, and how independent science can realistically be within powerful institutions.

Even the language of integrity can be used selectively, either as a genuine defense of trustworthy practice or as a rhetorical weapon in broader political disputes. Critics may invoke integrity to demand accountability. Institutions may invoke integrity to defend authority. Political actors may invoke integrity when findings support them and attack integrity when findings become inconvenient.

This does not make scientific integrity less important. It makes it more important.

The more science becomes entangled with policy, media, money, technology, litigation, regulation, and institutional reputation, the greater the need for standards that protect judgment from corrosion. Scientific integrity remains difficult precisely because it must survive in settings where truth is consequential, not merely contemplative.

The real question is not whether scientific integrity can eliminate all distortion. It cannot. The real question is whether institutions are willing to build cultures, protections, and accountability strong enough to resist distortion when it matters most.

A society that depends on science must care about the conditions under which science is made.

Scientific Integrity Diagnostic Table

Integrity question	Thin compliance frame	Stewardship & Ethics frame
What is scientific integrity?	Avoiding fabrication, falsification, and plagiarism.	The full set of norms, practices, and institutional conditions that make scientific knowledge trustworthy.
What is ethical decision-making?	Following formal rules and institutional policies.	Exercising responsible judgment under uncertainty, pressure, ambiguity, and public consequence.
What is misconduct?	Explicit fraud or professional violation.	A serious breach, but not the only way scientific trust can be damaged.
What is transparency?	Making selected information available when required.	Making methods, assumptions, limitations, conflicts, data, and reasoning sufficiently visible for scrutiny and correction.
What is authorship?	Credit for contribution.	Credit joined to accountability, responsibility, and honest representation of contribution.
What is peer review?	A technical gatekeeping process before publication.	An ethical practice requiring fairness, confidentiality, competence, independence, and care for the scientific record.
What is a conflict of interest?	A disclosure item or compliance form.	A potential distortion of judgment that must be made visible, managed, and prevented from corrupting inquiry.
What is research culture?	The professional environment in which scientists work.	The incentive structure that shapes whether rigor, honesty, correction, mentorship, and transparency are rewarded or undermined.
What is reproducibility?	A technical feature of methods and data.	An ethical commitment to accountability, verification, correction, and responsible knowledge stewardship.
Why does integrity matter publicly?	Because science needs a good reputation.	Because public health, environmental policy, technological governance, and democratic judgment depend on trustworthy evidence.

Conclusion: Scientific Integrity and Ethical Decision-Making

Scientific integrity and ethical decision-making matter because trustworthy knowledge does not emerge automatically from technical expertise alone. It depends on honesty, rigor, transparency, accountability, responsible judgment, and institutions capable of protecting evidence from carelessness, suppression, manipulation, and inappropriate influence.

Science becomes publicly valuable not merely when it produces results, but when those results can be trusted as the outcome of responsible inquiry.

This is why integrity belongs near the center of any serious ethics of knowledge. It is not exhausted by the prohibition of misconduct, though that remains indispensable. It also includes the positive responsibilities that make scientific communities worthy of trust: fair authorship, responsible review, conflict disclosure, strong mentorship, accurate communication, data stewardship, reproducibility, correction, and disciplined attention to what evidence does and does not show.

To take scientific integrity seriously is to reject the fiction that knowledge can remain trustworthy when the conditions of its production are ethically neglected. The quality of evidence and the quality of judgment are inseparable. When one is corrupted, the other cannot remain secure.

Scientific integrity is therefore not merely an internal professional norm. It is part of the ethical foundation of any society that hopes to govern itself responsibly under conditions of complexity, uncertainty, technological power, ecological risk, and shared vulnerability.

A society that wants trustworthy science must build institutions that protect truth-seeking when truth becomes inconvenient.

References

National Academies of Sciences, Engineering, and Medicine (2002) Integrity in Scientific Research: Creating an Environment That Promotes Responsible Conduct. Washington, DC: National Academies Press. Available at: https://www.nationalacademies.org/publications/10430
National Academies of Sciences, Engineering, and Medicine (2009) On Being a Scientist: A Guide to Responsible Conduct in Research. Washington, DC: National Academies Press. Available at: https://www.nationalacademies.org/publications/12192
National Academies of Sciences, Engineering, and Medicine (2017) Fostering Integrity in Research. Washington, DC: National Academies Press. Available at: https://nap.nationalacademies.org/catalog/21896/fostering-integrity-in-research
National Institutes of Health (2024) Scientific Integrity Policy of the National Institutes of Health. Available at: https://osp.od.nih.gov/wp-content/uploads/2024/09/Final-NIH-Scientific-Integrity-Policy.pdf
National Science Foundation (n.d.) Responsible and Ethical Conduct of Research. Available at: https://www.nsf.gov/policies/responsible-research-conduct
Office of Research Integrity (n.d.) Guidance Documents. Available at: https://ori.hhs.gov/guidance-documents
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UNESCO (2017) Recommendation on Science and Scientific Researchers. Available at: https://www.unesco.org/en/legal-affairs/recommendation-science-and-scientific-researchers
UNESCO (n.d.) Scientific Integrity. Available at: https://www.unesco.org/en/tags/scientific-integrity-0