Guest Post: Improving Methods Reporting in the Life Sciences
What can we do to encourage and improve methods reporting in scientific articles? A new report summarizes recommendations for editors and publishers alike.
What can we do to encourage and improve methods reporting in scientific articles? A new report summarizes recommendations for editors and publishers alike.
Do publishers really understand what tools researchers are using and how they are using them? Can we do more to create better policies based on real use cases and not hypothetical conjecture about what AI might do in the future?
New NISO guidance on clear consistent display of retraction information will reduce inadvertent reuse of erroneous research.
Even a flawed paper can offer lessons on how (not) to report, and what (not) to claim.
Citing chatbots as information sources offer little in terms of promoting smart use of generative AI and could also be damaging.
If you use a chatbot in writing a text, and are discouraged from listing it as a coauthor, should you attribute the relevant passages to the tool via citation instead? Is it appropriate to cite chatbots as information sources?
The World Conferences on Research Integrity Foundation (WCRIF) is building a network of early career researchers and professionals in research integrity to promote peer-to-peer mentorship, supports researchers in furthering their careers in RI, and fostering a global community that supports research with integrity.
In this post we reflect on the current threats to trust in scholarly journal publishing, and the implications for organizations like Directory of Open Access Journals (DOAJ) that seek to uphold that trust.
How will the American Sunlight Project make it more costly for bad actors to spread disinformation — and what does this mean for scholarly publishing?
An update on progress from the STM Research Integrity Hub.
Heather Staines offers a recap of the most recent Researcher to Reader meeting.
The latest STM Trends is out, showing a future where humans and machines are integrated and engaged, supporting research and output sharing.
As high profile cases about image integrity problems in scientific papers become more frequent, the community must consider how to overcome the issues with the manual image review process and the benefits of AI in rapidly detecting, and potentially preventing, these issues.
Christos Petrou presents evidence suggesting that growth in retractions has not been universal across regions and subject areas, and it is primarily driven by the industrial-scale activity of papermills (rather than the activity of individual researchers) and the growth of research from China.
Robert Harington discusses the value of preprints, the importance of peer review, research integrity and openness.