The process of breaking up research is dangerous one, according to UH's Big Idea. Graphic by Miguel Tovar/University of Houston

Salami slicing, breaking a paper on a single study up into smaller “slices” and publishing them in more than one journal, is broadly discouraged and considered unethical. Why does the practice persist? What do PIs believe are the benefits of doing it?

Two problems

Breaking up research into smaller slices can have serious consequences for scientific integrity. Researchers, especially younger researchers, may get used to looking at data in smaller pieces and not as a whole. This is dangerous from an academic perspective as valuable conclusions, that could have been derived if the data were presented as a whole, are overlooked.

Further, salami slicing of data may do more harm than good to a researcher’s career over time because it significantly reduces their chances of publishing in high impact journals, thereby lessening the weight of their accrued body of work.

One reason salami slicing still persists, is that there is a veritable avalanche of papers vying for publication. And the number seems to be steadily increasing.

“The academic market became more competitive after the nation’s economic downturn, in 2008,” said Rodica Damian, UH associate professor of psychology. “We saw a lot of competition between those with Ph.D.s and those who were conducting postdoc research. Before, you needed a postdoc if you were in Biology, for instance – but you didn’t need one if you had a doctorate in Psychology. That is no longer the case.”

Another reason salami slicing might persist is that advisors may suggest to a graduate student that they write a series of simpler papers as opposed to a more complex paper consisting of multiple measurements. A researcher might get these “single-lens papers” published much more quickly than their multi-faceted counterparts, due to the amount of background research the journal’s editors need to do on the more complicated papers.

How to avoid self-plagiarism

Salami slicing is not necessarily self-plagiarism, but often the practice does feature a large amount of “text overlap,” according to Miguel Roig, Ph.D. on the website of the Office of Research Integrity for the U.S. Department of Health and Human Services. One example Roig gives is as follows:

“Several months ago, for example, we received a manuscript describing a controlled intervention in a birthing center. The authors sent the results on the mothers to us, and the results on the infants to another journal. The two outcomes would have more appropriately been reported together…The important point is that readers need to be made aware that the data being reported were collected in the context of a larger study.”

The Big Idea

An article published by the NIH suggests this rule of thumb: “If the ‘slice’ of the study in question tests a different hypothesis as opposed to the larger study or has a distinct methodology or populations being studied, then it is acceptable to publish it separately.”

However, when a colleague is trying to do a meta analysis, they need to know what your study actually measured. “One thing you can do to avoid salami slicing,” said Damian, “is to pre-register all the projects you’re planning to do from a specific data set. Then ask yourself, do they use different hypotheses, measures, literatures, etc.”

After all is said and done, are they substantively methodically different research papers? If so, they can be sent to different, separate journals.

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This article originally appeared on the University of Houston's The Big Idea. Sarah Hill, the author of this piece, is the communications manager for the UH Division of Research.

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Houston startup raises $2.4M for sleep apnea technology

sleep score

Houston-based Bairitone Health has closed an oversubscribed seed round and achieved a regulatory milestone, the company tells InnovationMap.

The healthtech startup, which is developing solutions and technology for untreated obstructive sleep apnea (OSA), raised $2.4 million, says CEO and co-founder Meagan Pitcher, exceeding its $2 million goal.

New York-based Golden Seeds, which invests in female entrepreneurs, led the round. Houston-based South Loop Ventures also participated, as well as MALIAM, Impact Invest Her and additional angel, venture, syndicate and family office investors. The company previously raised a pre-seed round of $435,000 in 2024.

Pitcher says the latest funding will go toward Bairitone's clinical site expansion, FDA-facing work and the continued product development of its SOMNAR technology.

"What I’m most excited about is what this lets us do next: expand our clinical testing, work with more patients and physicians, and keep improving based on what we learn," Pitcher said in a LinkedIn post.

SOMNAR is the company's noninvasive diagnostic platform for sleep apnea airway assessment. The platform maps users' anatomy during natural sleep using a facial patch to determine the root cause of airway obstruction. It then offers effective therapies for each patient.

SOMNAR received Breakthrough Device Designation from the Food and Drug Administration in April. It is currently for investigational use only and is still pending FDA clearance. The new designation aims to help speed up development, assessment and review for premarket approval for medical devices, according to the FDA. It will also give Bairitone more opportunities to interact directly with FDA experts to make the approval process more efficient.

Bairitone was founded in 2022 in the Texas Medical Center's Biodesign program by Pitcher, CTO Onur Kilic and chief medical officer Britt Cross. It was a member of Activate Houston's inaugural cohort and has participated in numerous accelerators and incubators.

The company was a finalist for the Houston Innovation Awards in 2025 and 2024.

Houston university to launch master’s in artificial intelligence

AI experts

Houston’s Rice University will welcome students to its new Master of Artificial Intelligence (MAI) program next fall, the college announced last week.

The program, which will begin taking applications this fall, is geared toward students with a computer science background as well as working engineers, scientists and technologists as they pursue careers that create and deploy AI. It will be part of Rice’s Department of Computer Science.

The new graduate degree comes after Rice created its Bachelor of Science in AI program in 2025.

Students enrolled in the 30-credit-hour, non-thesis professional degree program will prepare for prospective jobs as AI architects, applied AI researchers and AI and machine learning engineers, according to a news release.

“AI is rapidly moving from research laboratories into the systems that shape how we work, learn and solve complex problems,” Luay Nakhleh, Dean of the George R. Brown School of Engineering and Computing, said in the release. “The MAI will give students the technical depth and practical experience to build these systems responsibly.”

The on-campus degree program will include coursework in AI foundations and traditional, hands-on learning over its three-semester duration. Students will have easy access to faculty and have the opportunity to collaborate in small cohorts. The program includes a required internship before completion.

Chris Jermaine, chair of Rice’s Department of Computer Science, says Houston is well-positioned to connect students with industries where AI is increasingly being used, including health care, energy, aerospace, finance and technology.

“The Master of Artificial Intelligence reflects the graduate education Rice is working to advance: rigorous, forward-looking and connected to the challenges graduates will encounter in their careers,” Jermaine said in the release. “Combining strong academic foundations with practical experience will prepare students to contribute thoughtfully and responsibly as AI continues to evolve.”

Other Texas universities offer similar degrees, like Texas A&M's online Master of Science in Artificial Intelligence, Baylor’s Master of Science in Artificial Intelligence (MSAI+), University of Houston Downtown’s Master of Science in Artificial Intelligence program, and University of Texas at Austin’s online master’s in AI.

MAI works as part of Rice’s Momentous strategic plan that incorporates responsible AI use, according to the university.

Tech giant Meta opens first Texas retail store in Houston's Galleria

Metaverse

Social media giant Meta has arrived in Houston with a new store that allows shoppers to go hands-on with all of its products. The Meta Lab, which offers an immersive retail experience, is now open daily on level two of the Galleria.

Shoppers will find all of Meta’s virtual reality products at the store, including including Meta Glasses, Ray-Ban Meta, Meta Ray-Ban Display, Oakley Meta HSTN, and Oakley Meta Vanguard. People can also try out demos of the company’s virtual reality gaming headsets, the Meta Quest 3 and Meta Quest 3S.

Visitors are encouraged to put the devices on in order to experience what it’s like to wear and use them. Those who need prescription lenses for their Meta glasses can order those at the store, too.

It is the ninth Meta Lab to open nationwide and the first in Texas.

Prices start at about $225 for Ray-Ban Meta glasses and go up to $799 for the Meta Ray-Ban Display, which has an in-lens display for updates and other information. Meta Quest runs from $349 to $599.

"Our approach to experiential retail is rooted in culture, creativity, and self-expression, and we're committed to building a space that reflects the Houston community," a spokesperson told the Houston Chronicle. "We look forward to welcoming people into a new experience to get hands-on with our AI glasses and VR products."

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This article first appeared on CultureMap.com.