The document discusses the use of technology to enhance data integrity in research, highlighting historical issues such as the 1998 MMR-autism study and its consequences on vaccination rates. It outlines strategies for improving data handling before, during, and after studies, including trial registration, monitoring progress, and utilizing software for plagiarism detection and data management. The author advocates for institutional support, such as the Kasr El-Aini model, to promote data integrity and effective research practices.

1. How to use technology to
improve data integrity
Hesham Al-Inany, M.D, PhD

2. • Introduction
• Past
• Future
• Before
• During
• After
• Kasr El-Aini model
• Conclusion
Outline

3. Introduction
• The Lancet MMR autism fraud, a 1998 study that falsely claimed a link
between the measles, mumps, and rubella (MMR)
vaccine and autism.
• Publicity around the 1998 study caused a sharp decline in vaccination
uptake, leading to a number of outbreaks of measles around the
world.
• undisclosed financial conflicts of interest on P.I part. to earn up to
$43 million per year selling test kits
• was struck off the medical register

4. More than
•10 yrs

5. Responsibility ?
• Individual basis
• Institutional basis
• Journal basis

6. Individual basis ?
• P.I
• Whole team
• Reviewers

7. Data Integrity issues
• Duplication
• Plagiarism
• Falsification
• Fabrication

8. Past ?

9. For work already done

10. Future?

11. Technology
• Not already published articles
• But those will be published

12. How would Technology help ?
• Before conducting the study
• During
• After

13. Before conducting the study
• Trial registration
• authorship or order of authors
• Sample size calculation
• Estimated time to end recruitment

14. Title & Protocol Registration
• to avoid Duplication
• Authorship rights from the start
• www.clinicaltrials.gov
• Many others

15. Sample size calculation
• G Power software
• Free to download
• To avoid type 2 error

16. During conducting the trial
• Monitoring the progress
• RedCap software
• Avoid data falsification

17. But
• RedCap software for universities & academic centers
• Mainly for projects but can be applied to research papers
• Free but u have to get access from university admin
• Alternative is Google sheets

18. Google sheets 2022

19. After ?

20. After doing the work
• Plagiarism detection software

21. Preprint copy release
• Ivermectin paper scandal
• Research square platform
• detecting research misconduct

22. At time of publishing 2022
• It can be detected by statistical tools, like the chi-square test for
uniformity of digit distributions.
• check the “rightmost digits” of the collected data. The “rightmost
digit” is the digit that a number ends in. It is considered to be “the
most random digit of a number,” which means that that the numbers
that make up a data set should be uniformly distributed as in a lottery

23. Journals : Hi-Tech
• Detecting and preventing peer-review fraud
• ScholarOne Manuscripts includes a program to detect unusual
submission and peer review activity that may warrant further
investigation by the journal.

24. I.P.D
• The new era

25. To avoid Fabrication
• File number
• Patient I.D
• Electronic file storage (scan OR electronic system)

26. After?

27. After publication
• new platforms and approaches allowing commenting on published
research (Pubpeer)

28. After publication : Retraction database

29. Research retention time : 10 yrs
• Keeping ur data : Cloud based
• Accessible any where any time

30. Technology can help
• Duplication
• Registration
• Falsification
• RedCap
• Plagiarism
• Turnitin

31. Technology can Help
• Fabrication
• I.P.D
• Storage
• Cloud-base
• Retraction
• Web-based

32. Model?

33. Institution basis : Kasr ElAini model
• Big data Archive
• No Essay
• Protocol & Master sheet included in MSc & MD thesis

34. For other researches

35. Training programs for researchers

36. Lines of research : model of 1st trimester U/S
• Correlation of Maternal right ventricular function with the uteroplacental circulation in first trimester and
pregnancy outcome in women with congenital heart disease
• First trimester scan for the early detection of fetal structural anomalies: detection rates
• Fetal abnormalities associated with increased nuchal translucency versus cell-free fetal DNA
• Effectiveness of a 12-13 week scan for the early diagnosis of fetal congenital anomalies ( chromosomal and
structural )
• Caesarean scar pregnancy in first trimester, longitudinal study for detection of PAS rates
• Accuracy of Prenatal diagnosis of cardiac defects
• Increased hepatic artery flow in first early-second trimester fetuses with enlarged nuchal translucency
• Performance of the First trimester ultrasound signs of spina bifida , longitudinal study
• Fetal cranium normal and abnormal at 13 weeks
• Fetal face normal and abnormal at 13 weeks

37. Suggest topics : electronically distributed

38. MOU with other universities

39. Next steps
• Apply RedCap data entry for any Thesis
• Electronic archive of all thesis IPD
• Committee of Data Integrity ( Prof.Dr.AbdelHamid Attia)

40. Key : compulsory ?
• But help researchers
• Ensure facilities are available for them (unit for research
excellence)
• Save their time and money ( trained secretaries doing the job)

41. conclusion

42. Technology can help