A Word is Worth 1000 Words

When writing for an audience of your peers or a non-specialised audience, how you write matters as much as what you write. Communicating your message with integrity is a way to enhance trust in your publication and ensure that you are conveying your message effectively and respectfully. In this series on Communicating with Integrity, we discuss some of the key factors to incorporate when preparing your manuscript.

Previously, we have discussed how trust can be built through transparency, and how to ensure we maintain trust when communicating with a non-specialised audience.  In this article, we discuss why word choice matters. Terminology matters for the reproducibility of your research, as well as for any communities you are referring to in your writing. Failure to write with integrity can have unintended consequences on how your research is received and interpreted.

The following is based on the recommendations from the Coalition for Diversity & Inclusion in Scholarly Communication (C4DISC) Guidelines on Inclusive Language and Images in Scholarly Communication [1], which Karger recommends referring to when preparing a manuscript.

Be specific about who is involved in the study.

When reporting demographic variables, consider whether these variables are relevant to the study. If an individual’s race, gender identity or sexual orientation is not relevant to the study, consider whether these demographics should be included at all.

Where it is relevant to include demographic information, be specific. The use of ambiguous or general terms when describing individuals can reduce the reproducibility of research and may offend the people involved. It is important to be specific about the population you are describing, for example, do not say ‘Central American people’ if you mean “Mexican men”.

If people have not been given the opportunity to self-describe their gender identity, race or ethnicity, such demographics should not be assumed from the sex assigned at birth or nationality. Asking people to self-describe the terms they use is the most accurate and specific way to capture relevant information.

Use inclusive language when describing individuals.

Inclusive language should communicate to and about people with respect. Language is constantly evolving, and once commonplace terms may now offend. As above, when referring to a specific population be specific about who the population is and use appropriate terms, for example, “70-80 years old people” is preferable to “older people” which itself is preferable to “the elderly.”

In referring to a specific population, give priority to community-adopted terms and where possible, allow people to self-describe and use that term in your manuscript. When describing health conditions, look to the community for the preferred terminology whether this is identity-first or person-first terminology. For example, “person with cancer” or “person with obesity” is preferable to “cancer patient” or “obese person,” however, “autistic person” is generally considered preferable to “person with autism.” What we say matters as much as how we say it. How you communicate can contribute to reinforcing or dismantling stigma, discrimination or Eurocentrism. The above is a very short overview of just some of the key concepts, and we would recommend the resources available below for more information.

Resources

  1. Introduction. In: Guidelines on Inclusive Language and Images in Scholarly Communication [Internet]. Coalition for Diversity and Inclusion in Scholarly Communications; 2022. Available from: https://c4disc.pubpub.org/pub/8olmuvdm (Accessed 8/1/2025)
  2. https://www.england.nhs.uk/learning-disabilities/about/get-involved/involving-people/making-information-and-the-words-we-use-accessible/ (Accessed 8/1/2025)
  3. Weghuber, D., et al., (2023), Championing the use of people-first language in childhood overweight and obesity to address weight bias and stigma: A joint statement from the European-Childhood-Obesity-Group (ECOG), the European-Coalition-for-People-Living-with-Obesity (ECPO), the International-Paediatric-Association (IPA), Obesity-Canada, the European-Association-for-the-Study-of-Obesity Childhood-Obesity-Task-Force (EASO-COTF), Obesity Action Coalition (OAC), The Obesity Society (TOS) and the World-Obesity-Federation (WOF). Pediatric Obesity, 18: e13024. https://doi.org/10.1111/ijpo.13024
  4. Heidari, S., Babor, T.F., De Castro, P. et al. Sex and Gender Equity in Research: rationale for the SAGER guidelines and recommended use. Res Integr Peer Rev 1, 2 (2016). https://doi.org/10.1186/s41073-016-0007-6

 

(Featured image declaration: by WOKANDAPIX from Pixabay)

 

Saying What You Mean and Meaning What You Say

When writing for an audience of your peers or a non- specialised audience, how you write matters as much as what you write. Communicating your message with integrity is a way to enhance trust in your publication and ensure that you are conveying your message effectively and respectfully.

In this series on Communicating with Integrity, we are discussing some of the key factors to incorporate when preparing your manuscript. You can read part one, Laying a Foundation for Trust.

In this article, we consider how what is not said can impact trust in a publication, particularly when communicating with a non-specialised audience, be it patients, policymakers or the general public.

Be specific about the level of certainty of any claims, using numerical rather than verbal expressions.

Readers can interpret verbal indicators of uncertainty differently, e.g. “It is likely that X is a cause of Y” can imply to a reader near certainty or only moderate certainty in a relationship. This is particularly relevant when you are communicating to a non-specialised audience.

Communicating numerically reduces the risk of misinterpretation, e.g. it is better to say that “X is estimated to cause more than 50% of the cases of Y in Switzerland.”.

When expressing risk as fold change, e.g. “7 times more likely”, the expression should be accompanied by the actual risk scores and range of confidence intervals.

Acknowledge sources of uncertainty.

In all research publications, it is important to include a limitations section in which factors that may impact the generalisability or certainty of the findings are described. This should be transferred to any secondary publications, whether this is a systematic review or a blog post about the research. Communicating limitations or uncertainty is an important part of protecting against loss of trust if evidence changes [1].

Important potentially limiting factors to translate to a publication include:

  • Distinct population (was the study conducted in a specific environment or with a demographic group that may limit generalisability?)
  • Sample size (was the study small or large and did it control for relevant independent variables),
  • Effect size (just because a result is statistically significant does not mean that it is meaningful, is the effect size described?)
  • Level of evidence (are discussed studies only in animal models or case reports?)

Do not make any unsubstantiated claims or fallacies.

An author may believe that their study conclusively proves their hypothesis. However, it can be easy in these circumstances to commit a logical fallacy because of the certainty of the conclusion. E.g. “Smoking is the main cause of lung cancer in the UK. Jan has lung cancer. Therefore, Jan’s smoking must have caused their lung cancer.”.

Everyone is vulnerable to making such errors and so, as an author and a reader, you should be critical when reading your own or others’ work for such fallacies or overstated conclusions.

References

  1. Dries, C., McDowell, M., Rebitschek, F. G., & Leuker, C. (2024). When evidence changes: Communicating uncertainty protects against a loss of trust. Public Understanding of Science33(6), 777-794. https://doi.org/10.1177/09636625241228449

Further reading

Morgan et al., ‘Communicating with integrity – Supporting researchers with best practice in communication’ League of European Research Universities. Online:

https://www.leru.org/publications/communicating-with-integrity-supporting-researchers-with-best-practice-in-communication (Accessed 8/1/25)

 

(Featured image declaration: by andryszekk from Pixabay)

Laying a Foundation for Trust

When writing articles for your peers or a non-specialised audience, communicating your message with integrity is fundamental to maintaining trust in your publication. In this series on Communicating with Integrity, we discuss some of the key factors to incorporate when preparing your manuscript for publication to ensure that you are conveying your message effectively and respectfully.

In this first article, we consider some of the fundamental elements of a paper and how trust can be built through transparency.

Include a comprehensive and representative summary of the literature.

The foundation of trust in your research starts from the literature review. The literature included in your paper should be comprehensive and up to date to capture the current state of knowledge of the field. It is usually more appropriate to cite original research articles, however, citation of a comprehensive review article may be appropriate, depending on the context. It is also important to present an accurate representation of the literature, and this may mean the inclusion of studies that do not support your hypothesis or results.

Your work should present a critical assessment of the literature. Citing a range of sources, including competing or opposing work where applicable, can help strengthen the rationale for your study whilst demonstrating that you are conducting your research with a focus on rigour. Deliberate misrepresentation or biased presentation of the literature, aimed at providing support for your conclusions while neglecting conflicting opinions or data, must be avoided.

Declare any potential conflict of interest.

All relationships that could be perceived as a potential conflict of interest must be declared, in accordance with our Editorial policies, even if you do not think the relationship is relevant. As the ICMJE describe:

Individuals may disagree on whether an author’s relationships or activities represent conflicts. Although the presence of a relationship or activity does not always indicate a problematic influence on a paper’s content, perceptions of conflict may erode trust in science as much as actual conflicts of interest. Ultimately, readers must be able to make their own judgments regarding whether an author’s relationships and activities are pertinent to a paper’s content

Err on the side of transparency and disclose any relationships that a reader may find relevant to the work.

Detail changes from the original protocol.

Despite your best efforts, reality can get in the way of the best-designed research plans and being transparent about adaptions to planned protocols can help enhance trust in your work. Studies rarely follow a linear path and being open about how projects have been adapted in response to changes in circumstance or new data may in fact enhance the impact of your overall results. On the other hand, failure to explain why a study description differs from a published study protocol can undermine a reader’s trust in the study and may result in a rejection decision. Be straightforward about necessary modifications to the study design and explain how this may or may not impact the generalisability or certainty of the findings.

 

(Featured image declaration: by wal_172619 from Pixabay)

Research Integrity 2024: Navigating Challenges and Seizing Opportunities

Every two years the World Conference on Research Integrity (WCRI) gathers together the global community of individuals and organisations committed to upholding the integrity of research. This year’s conference covered topics ranging from researcher training on research integrity to the importance of diversity and inclusivity in research.

In this blog, I’ll delve into three recurring themes from the conference and share how Karger is championing integrity in each area.  

Reproducibility and Research Integrity 

At WCRI, we heard updates from the TIER2 project which has a goal of “Enhancing Trust, Integrity and Efficiency in Research through next-level Reproducibility”. Reproducibility is a topic we have written about previously in a blog on ‘Centring reproducibility and transparency in health science research’ and lies at the heart of Karger’s Open Science mission. Since this 2022 blog post, we’ve made significant strides in promoting reproducible, trusted research: 

  • We now accept submissions for study protocols as methods articles across almost all Karger journals 
  • We’ve published registered reports in two journals 

 By supporting authors in transparency in study and analysis design, our aim is to make research pre-registration standard practice.  

Artificial Intelligence (AI): Friend or Foe? 

Throughout the conference, we learned about how Generative AI is being used by students, researchers, and publishers, including a fascinating plenary session on ‘Perspectives on Research Integrity and Generative Artificial Intelligence’ where its dual nature was explored:  

  • Many speakers and poster presenters told us about how Generative AI will make it easier for bad actors to fabricate images and data in papers and how it can be used to create text that contains hallucinations and confabulations. Since May 2023, Karger has had a public policy for authors on the responsible use of Generative AI in studies and manuscripts that highlights the importance of transparency and information verification.  
  • The bright side: We also heard about how AI is being used to combat fraud from image duplication detection to inappropriate citation classification and beyond. At Karger, we have recognised the opportunity provided by AI to safeguard research integrity for some time. Imagetwin, an AI-powered image integrity software, was awarded the Vesalius Innovation Award by Karger Publishers in 2022 and at WCRI this year I presented a poster on our findings of the prevalence of image duplication in manuscript submissions, using Imagetwin.  

Looking to the future, it is clear that AI and research integrity will be in constant interaction with AI both strengthening and posing a challenge to our efforts — a dynamic interaction that demands vigilance and innovation. 

Combatting paper mills: strength in collaboration 

A recurring theme that echoed through many conversations at WCRI was the challenge threat posed to the scholarly record by paper mills. I have discussed this challenge in a previous blog and at WCRI we heard about how this industry-wide problem is impacting researchers and publishers. From detecting patterns in the literature linked to potential paper mills to how publishers can collaborate and harness technology to detect paper mills before publication, this topic garnered substantial interest culminating in a plenary session on ‘Addressing the challenge of paper mills through research and policy’.  

The United2Act against paper mills initiative (U2A) was mentioned regularly throughout the conference. Karger is a proud signatory of United2Act and an active contributor to U2A Working Group 2. As part of Karger’s commitment to tackling paper mills, I co-authored the initial report from this working group on ‘Recommendations for improving the process of making post-publication corrections’. Through such collaborations, we are addressing the collective challenge of paper mills in scholarly publishing. 

A cornerstone of trust in research is research integrity; encompassing everything from research planning to publishing to translation into practice. The theme of WCRI 2024, ‘Catalysing the translation of research into trustworthy policy and innovation’, aligns perfectly with our mission at Karger. We are dedicated to our role throughout the cycle of knowledge in the transfer of trusted, innovative scientific findings to the scientific community, healthcare professionals, patients, and caregivers. By collaborating and harnessing technology and AI, we are ensure that our community has access to reproducible, trusted research when they need it. 

 

Note: WCRI was sponsored in part by Karger Publishers.

Correcting the Scholarly Record and Dispelling Myths around Corrections

A core part of publication ethics is that when published research is affected by errors or misconduct, it must be corrected. This webinar explains both, the process of fixing errors and misconceptions about corrections, focusing on journal articles, and answering the questions:

  • Who decides what needs to be corrected?
  • What are the responsibilities of editors, journals, research institutions, and authors?
  • How are corrections done and what form do they take?
  • How do readers know when work has been corrected?
  • What are the barriers and solutions to correcting the scholarly literature?

Our expert speakers, including Gráinne McNamara (Research Integrity / Publication Ethics Manager, Karger) will draw on their experience in handling corrections and developing editorial policies.

Reviewing For Trust: Best Practices for Peer-Reviewers

Peer-reviewers play a crucial role in ensuring the trustworthiness, quality, integrity, and reproducibility of an article. Join Gráinne McNamara (Research Integrity / Publication Ethics Manager, Karger), as she talks about the latest best practices for peer-reviewers with a focus on trustworthiness, reproducibility, and Open Science. In this webinar you will:

  • Better understand the role of the peer reviewer in the decision-making process in a journal
  • Learn how to review a manuscript with trustworthiness in mind
  • Gain tips in writing a constructive review report for authors

Our webinar is aimed at Early Career Researchers and those with an interest in being a peer reviewer.

Promoting Reproducibility Through Peer Review

Research reproducibility exists hand in hand with research integrity and good research practices.

Learn more about how peer review can improve manuscript reproducibility and strengthen research integrity in our recent round table discussion. Our panellists, Professor Max Cenci (clinical researcher in Dentistry from the Radboudumc, The Netherlands), Gráinne McNamara (Research Integrity / Publication Ethics Manager, Karger) and Marco Casola (Publication Manager, Karger), highlight some of the challenges researchers face in accessing and replicating data due to inadequate reporting and lack of transparency. They also stress the importance of researcher training, promotion of open peer review practices, peer-reviewer recognition and the adherence to reporting guidelines to effectively evaluate reproducibility in manuscripts.

Quality Control: The Effect of Substandard Submissions on the Publishing Landscape

Would you like to learn more about quality and quality control in academic publishing?

Join Professor Raj Raghupathy (Editor-in-Chief of Medical Principles and Practice), Muna Tamara Kugler (Publication Manager, Karger) and Gráinne McNamara (Research Integrity/Publication Ethics Manager, Karger), as they explore this topic in our webinar case study.

Our speakers provide expert insights into what constitutes substandard submissions, identifying common shortcomings from research integrity and quality perspectives, with a focus on improving the standard of manuscript submissions. They also discuss initiatives to raise quality standards, such as providing clear author guidelines, editor education, and offering courses on scientific writing and impactful communication. Finally, they highlight the services Karger Publishers offer, such as language editing and author training, to further improve manuscript quality.

Gráinne McNamara

Gráinne was awarded a PhD in Integrative Neuroscience from Cardiff University in the UK. After that, she spent three years in academic research at Cardiff University and Imperial College London before moving to work in research integrity in book and journal publishing. She is now the Research integrity / Publication Ethics Manager for Karger Publishers and leads a team responsible for developing research integrity policies and conducting investigations for all Karger journals.

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