The World Conference on Research Integrity is my favorite conference to date. Here are my key takeaways and insights from #WCRI2024:
- Research integrity leads to research quality, and quality of data and methods leads to research integrity.
- Research integrity is made possible by institutional academic integrity.
- Reproducibility is the key characteristic of science and research integrity; this is more important than ever as we enter the era of AI.
- Research integrity practices are also about fairness in collaborations and equitable partnerships.
- We must always ensure researcher wellbeing!
- Quality vs. Quantity: I am reminded and reassured that research quality is not about the quantity or volume of publications or citations; it is good to do deeper, more long-term research.
Reflecting deeply on operationalizing my insights from WCRI, I now emphasize these two words to my team all the time: reproducibility and interpretability.
Our firm’s role in the larger scientific research and public health community is to ensure data integrity by designing processes and documentation that guarantee both reproducibility and interpretability.
As the Founder, I seek to preserve the integrity of the evenings and weekends of the 101 Health Research team so we can all have enough brain power to produce high-quality work.
Lately, this is my mantra: Hardwood grows slowly. It is okay to take time.
#ResearchIntegrity #WCRI2024 #DataIntegrity #AI #QualityResearch #FairCollaboration
