The DOI matches its Crossref record; 475 of the 475 references it cites were found in a registry or an index.
Responsible Conduct of Research
Abstract
Responsible Conduct of Research provides an overview of ethical, legal, and social issues in scientific research for science students, trainees, and professional scientists. Written by two leading scholars in the field of research ethics, one with a background in natural science and the other with a background in philosophy and law, the book incorporates insights from these diverse disciplines throughout the text. The book provides in-depth analyses of a wide array of topics, including ethical theory and decision-making, misconduct, questionable research practices, research record-keeping, data sharing, data auditing, reproducibility, authorship, publication, peer review, intellectual property, conflict of interest, mentoring, safe research environment, animal experimentation, research with human subjects, and social responsibility. The book also includes interesting case studies and provocative questions at the end of each chapter that can serve as a basis for further analysis and discussion. The concluding chapter of the book describes some steps that researchers, institutional officials, government agencies, and scientific organizations can take to promote ethical conduct in scientific research. The 4th edition of Responsible Conduct of Research includes updated references and discussions of new and evolving topics, such as digital image manipulation, text recycling (sometimes called self-plagiarism), retractions, publication on pre-print servers, sexual and other forms of harassment, research with human biological samples, revisions to the Common Rule for research with human subjects, dual use research, the COVID-19 pandemic, providing science advice, and interactions with the media.
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In the citing paper
“In summary, LLMs should not be named as authors because they cannot be held legally and morally responsible for what they do, and authorship implies responsibility (Copyright Review Board, 2022; Shamoo and Resnik, 2022).”
From The ethics of disclosing the use of artificial intelligence tools in writing scholarly manuscripts (2023) · cites this paper as Shamoo and Resnik, 2022
In the citing paper
“Although it is important to disclose how an LLM has been used to write or edit a manuscript, designating an LLM as an author is ethically problematic because widely accepted journal guidelines, such as those provided by the International Committee of Medical Journal Editors (ICMJE), and research norms, such as those articulated by Shamoo and Resnik (2022) and Briggle and Mitcham (2012), imply that”
From The ethics of disclosing the use of artificial intelligence tools in writing scholarly manuscripts (2023) · cites this paper as Shamoo and Resnik, 2022
In the citing paper
“In research, accountability is essential for promoting integrity, reproducibility, rigor, and other important epistemic and moral values (Shamoo and Resnik, 2022).”
From The ethics of disclosing the use of artificial intelligence tools in writing scholarly manuscripts (2023) · cites this paper as Shamoo and Resnik, 2022
In the citing paper
“Although it is important to disclose how an LLM has been used to write or edit a manuscript, designating an LLM as an author is ethically problematic because widely accepted journal guidelines, such as those provided by the International Committee of Medical Journal Editors (ICMJE), and research norms, such as those articulated by Shamoo and Resnik (2022) and Briggle and Mitcham (2012), imply that”
From The ethics of disclosing the use of artificial intelligence tools in writing scholarly manuscripts (2023) · cites this paper as Shamoo and Resnik, 2022
In the citing paper
“Ethical principles, including openness, honesty, transparency, efficient use of resources, and fair allocation of credit (Shamoo and Resnik, 2022) demand disclosing the use of LLMs.”
From The ethics of disclosing the use of artificial intelligence tools in writing scholarly manuscripts (2023) · cites this paper as Shamoo and Resnik, 2022
In the citing paper
“This reflects a growing consensus in publishing ethics that aligns with the conceptual framework's stipulation of human responsibility for all published outputs (Shamoo and David, 2022).”
From Use of artificial intelligence tools in the publishing process: expectations from publishers through author guidelines (2026) · cites this paper as Shamoo and David, 2022
In the citing paper
“However, bias may also occur intentionally; for example, when a scientist chooses a study that favors a predetermined result, i.e. “cooks the data.””
From Autonomous artificial intelligence, scientific research, and human values (2026) · cites this paper as [33]
In the citing paper
“Deliberately biasing a study is widely recognized as unethical [33].”
From Autonomous artificial intelligence, scientific research, and human values (2026) · cites this paper as [33]
In the citing paper
“While we have little doubt that AI systems will soon be able to perform many different activities related to research planning, human involvement in this stage may remain essential for quite some time, because research planning is often based on preliminary data from research execution and one may need to revise an experimental protocol based on preliminary results if the experiment is unsuccess”
From Autonomous artificial intelligence, scientific research, and human values (2026) · cites this paper as [33]
In the citing paper
“Bias can be a significant problem not only in conceiving of research but also in planning it [33].”
From Autonomous artificial intelligence, scientific research, and human values (2026) · cites this paper as [33]
In the citing paper
“Honest errors, due to, for example, contamination of biological samples, mislabeling of data, mis-calibrated instruments, or mistaken calculations, occur frequently [33].”
From Autonomous artificial intelligence, scientific research, and human values (2026) · cites this paper as [33]
In the citing paper
“Evaluation can take many years as members of the scientific community must sift through conflicting studies to discern the truth and form judgments about the research [33].”
From Autonomous artificial intelligence, scientific research, and human values (2026) · cites this paper as [33]
In the citing paper
“Some AI systems are proficient at analyzing and interpreting data; yet they are not perfect and remain susceptible to error and bias [33, 57].”
From Autonomous artificial intelligence, scientific research, and human values (2026) · cites this paper as [33]
In the citing paper
“The scientific values are expressed in the institutional norms for research proposed by Merton [95], which were later refined and expanded upon by others [33, 96, 97].”
From Autonomous artificial intelligence, scientific research, and human values (2026) · cites this paper as [33]
In the citing paper
“Most scientific research done by humans stems from personal, social, political, or economic values that drive inquiry [33, 50, 105].”
From Autonomous artificial intelligence, scientific research, and human values (2026) · cites this paper as [33]
In the citing paper
“One of the problems with the current system of evaluation is that scientists rarely attempt to replicate each other’s experiments, despite widespread recognition that reproducibility is a defining feature of good science [33, 88].”
From Autonomous artificial intelligence, scientific research, and human values (2026) · cites this paper as [33]
In the citing paper
“Reduction of random errors, like reduction of bias, is widely recognized as essential to good scientific methodology and practice [207].”
From The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool (2025) · cites this paper as [207]
In the citing paper
“random errors can undermine the validity and reliability of scientific knowledge and have disastrous consequences for public health, safety, and social policy [207].”
From The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool (2025) · cites this paper as [207]
In the citing paper
“Openness, on the other hand, can be deemphasized to protect research participants’ privacy, intellectual property, classified information, or unpublished research [207].”
From The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool (2025) · cites this paper as [207]
In the citing paper
“Replication of results by independent researchers, journal peer review, and post-publication peer review also play a major role in error reduction [207].”
From The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool (2025) · cites this paper as [207]
In the citing paper
“placebo control groups are not used in clinical trials when receiving a placebo instead of an effective treatment would cause serious harm to the participant [207].”
From The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool (2025) · cites this paper as [207]
In the citing paper
“Bias can undermine the quality and trustworthiness of science and its social impacts [207].”
From The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool (2025) · cites this paper as [207]
In the citing paper
“The last topic we will address in this section has to do with education and mentoring in responsible conduct of research (RCR), which is widely recognized as essential to promoting ethical judgment, reasoning, and behavior in science [207].”
From The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool (2025) · cites this paper as [207]
In the citing paper
“Authorship on scientific papers is based not only on making a substantial contribution, but also on being accountable for the work [207].”
From The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool (2025) · cites this paper as [207]
In the citing paper
“Failure to appropriately control AI-related errors could make scientists liable for research misconduct, if they intentionally, knowingly, or recklessly disseminate false data or plagiarize [207].”
From The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool (2025) · cites this paper as [207]
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Using AI to write scholarly publications
Hosseini, M., Rasmussen, L. M., & Resnik, D. B. (2024) · Accountability in Research · doi:10.1080/08989621.2023.2168535 · Cited by 286
Self-citationThe ethics of disclosing the use of artificial intelligence tools in writing scholarly manuscripts
Hosseini, M., Resnik, D. B., & Holmes, K. (2023) · Research Ethics · doi:10.1177/17470161231180449 · Cited by 341
Self-citationResnik, D. B., & Hosseini, M. (2025) · AI and Ethics · doi:10.1007/s43681-024-00493-8 · Cited by 228
Self-citationORI Introduction to the Responsible Conduct of Research
Steneck, N. H., & Zinn, D. (2004) · PsycEXTRA Dataset · doi:10.1037/e639912011-001 · Cited by 178
Smith, E. M. R., & Williams–Jones, B. (2011) · Science and Engineering Ethics · doi:10.1007/s11948-011-9263-5 · Cited by 134
Metadata
- Authors
- Shamoo, A. E., & Resnik, D. B.
- Affiliations
- Professor, University of Maryland School of Medicine
- National Institutes of Health (US)
- ORCID
- Resnik, David B.
- Publisher
- Oxford University PressNew York
- Published
- 2022-05-19
- OpenAlex
- W4280589601
- Cited by
- 224
- References
- 474
- Citations by year
- 2026: 21 · 2025: 21 · 2024: 49 · 2023: 25 · 2022: 11
- FWCI
- 37.30
- Type
- book
- Language
- en
- Open access
- closed
- Topics
- Social Sciences › Education › Academic integrity and plagiarism
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Research, Science, and Academia
- Social Sciences › Library and Information Sciences › Academic Publishing and Open Access
- Keywords
- responsible conduct of research, research ethics, research misconduct, questionable research practices, data sharing, data auditing, reproducibility, authorship, peer review, intellectual property, conflicts of interest, mentoring, animal experimentation, human subjects research, Common Rule, dual-use research, COVID-19 pandemic, scientific advice, science and media, image editing, self-plagiarism, retraction, harassment, human samples
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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