1. Gün R. Semin Free University Amsterdam
Enhancing the Self-monitoring Function of Science and its Contribution to Integrity in Research
Gün R. Semin
Free University Amsterdam

2. What is Research Integrity?
A POSSIBLE ROADMAP

3. What is Research Integrity?
Google search gives ,000 hits

4. What is Scientific Integrity?
Google search gives ,000 hits
Google search gives 6,580,000 hits

5. Integrity? Training in responsible conduct of research
Political interference with due process of science
Individual misconduct (e.g., data manipulation or falsification)
Issues of authorship
Collaboration
Sharing of materials, conflict of interest, and a diversity of ethical moral dilemmas that emerge in the face of power relations, gender….. etc.

6. Integrity - My Focus Focus: Behavioral Sciences
Goal: The reliability or robustness of data, and solutions that will enhance confidence in our data

7. Can we rely on reported data?
Are they robust?
Can we extend our methodological toolbox to ascertain the reliability of data?
Etc.

8. Solution
Create a Data Storage Center for the Behavioral Sciences with the collaboration national research agencies

9. ROAR

10. Why should a Data Center for the BS contribute to scientific integrity
What advantages does an interagency Data Center offer? Quick feedback about erroneous analyses Rapid detection of data irregularities Enhance high standards of scientific integrity

11. Why a Data Center (1)
What advantages does an interagency Data Center offer? Quick feedback about erroneous analyses Rapid detection of data irregularities
Enhance high standards of scientific integrity

12. Why a Data Center (1)
What advantages does an interagency Data Center offer? Quick feedback about erroneous analyses Rapid detection of data irregularities
Enhance high standards of scientific integrity

13. Why a Data Center (1)
What advantages does an interagency Data Center offer? Quick feedback about erroneous analyses Rapid detection of data irregularities
Enhance high standards of scientific integrity

14. Why a Data Center (1)
What advantages does an interagency Data Center offer? Quick feedback about erroneous analyses Rapid detection of data irregularities
Enhance high standards of scientific integrity

15. Additional Benefits Increase the returns from public funding
Exploration of topics not envisioned by the initial investigators
Examine new or alternative hypotheses
Useful for training purposes
Comparisons between different data sets
Combine different data sets

16. Additional Benefits Increase the returns from public funding
Exploration of topics not envisioned by the initial investigators
Examine new or alternative hypotheses
Useful for training purposes
Comparisons between different data sets
Combine different data sets

17. Additional Benefits Increase the returns from public funding
Exploration of topics not envisioned by the initial investigators
Examine new or alternative hypotheses
Useful for training purposes
Comparisons between different data sets
Combine different data sets

18. Additional Benefits Increase the returns from public funding
Exploration of topics not envisioned by the initial investigators
Examine new or alternative hypotheses
Useful for training purposes
Comparisons between different data sets
Combine different data sets

19. Additional Benefits Increase the returns from public funding
Exploration of topics not envisioned by the initial investigators
Examine new or alternative hypotheses
Useful for training purposes
Comparisons between different data sets
Combine different data sets

20. Additional Benefits Increase the returns from public funding
Exploration of topics not envisioned by the initial investigators
Examine new or alternative hypotheses
Useful for training purposes
Comparisons between different data sets
Combine different data sets

21. Critical Issues
What is data?

22. ｷ Why a Data Center 2 Public Funding - Public Access
Scientific research and data production activities are largely funded by public funds, and predominantly supported by scientific organizations
Publicly funded research data are largely not publicly accessible

23. Data Access Requests Wicherts, Borsboom, Kats, and Molenaar, 2006
asked the authors of 141 papers containing 249 separate data sets in top journals in the field

24. Percentages of Empirical Papers: Response Categories (Wicherts, Borsboom, Kats, and Molenaar, 2006)
70 % rejection rate journals.
From Wicherts, Borsboom, Kats, and Molenaar, 2006

25. Some Critical Issues How could data storage be implemented?
Financial and Budgetary Considerations for a Data Center
Intellectual property rights that affect data access and sharing practices
Informed consent and protection of privacy

26. Some Critical Issues How could data storage be implemented?
Financial and Budgetary Considerations for a Data Center
Intellectual property rights that affect data access and sharing practices
Informed consent and protection of privacy

27. Some Critical Issues How could data storage be implemented?
Financial and Budgetary Considerations for a Data Center
Intellectual property rights that affect data access and sharing practices
Informed consent and protection of privacy

28. Some Critical Issues How could data storage be implemented?
Financial and Budgetary Considerations for a Data Center
Intellectual property rights that affect data access and sharing practices
Informed consent and protection of privacy

29. Thank You