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MODULE 1. This first module provides an overview of the most commonly found image aberrations in scientific publications and illustrates how they may be detected and verified. Watch the video here.
MODULE 2. The second module offers an overview of commonly found image aberrations in blot images — and provides techniques for manually detecting and verifying these types of image issues. Although examples shown are all Western blots or immunoblots, the screening techniques introduced work equally well for northern blots, southern blots and agarose (DNA/RNA) gels. Watch the video here.
MODULE 3. Here, we zero in on microscopy images: taking a close look at the typical issues that you might encounter in an image screening routine — and offering tips and techniques to better detect and verify irregularities. Dive in here.
The Latest from STM
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Guest-edited collections, often published as special issues or themed volumes, curated by experts in a specific field, play an important role in scholarly publishing offering a focused exploration of contemporary topics, emerging trends, or specialised areas of study. However, guest-edited collections have been accompanied by increasing challenges, including coordinated attempts to manipulate the publishing record…
STM commissions study to explore how publishers support research integrity
Research communications today face growing, coordinated threats to their integrity—from paper mills and manipulated peer review to systemic pressures that can compromise trust. In response, STM’s Research Integrity Committee has commissioned Research Consulting to map how publishing organisations across the sector are working to safeguard the scholarly record. In recent years, publishers have retracted thousands…
A Q&A with STM’s Hylke Koers in Retraction Watch
A timely interview with our own Hylke Koers in Retraction Watch highlights STM’s work on strengthening research integrity in scholarly publishing. With fraud and paper mills exploiting gaps in editorial systems, STM has developed a Researcher Identity Verification Framework—a flexible, inclusive approach to help journals and institutions verify researcher identities more reliably. Originally released in…
Nature survey on #genAI — and how STM’s draft AI classification can help
A new Nature Magazine survey of 5,000+ researchers shows there’s no clear consensus on how and when generative AI should be used in writing and reviewing scholarly papers — or how that use should be disclosed. To help bring clarity, STM has released a draft report: Classifying AI Use in Manuscript Preparation — that offers…