We are going to represent a Mashup platform for the research evaluation. This talk was given at 2nd Search computing workshop in Como, italy on 27-may-2010.

1. An Open Mashup Platform ForResearch Impact Evaluation By: Muhammad Imran

2. EXISTING SOLUTIONS: Web of Science Publish or Perish Tool DBLP

5. Groups

6. Artifacts

7. Universities

9. Future Policy

10. Finding Expert

11. Hiring

13. DBLP

14. Scopus

15. ACM

17. G-Index

18. C-Index

20. Diff normalization

21. Self-Citation

22. Filters…

23. DIMENSIONS INRESEARCH EVALUATION Different Things Different Purposes Different Data Sources Different Metrics Different Algorithms Research Evaluation

25. Number of and value of Grants awarded

26. Number of awards (e.g. Nobel Prizes)

27. Number of patents

28. Number of post-graduate researchers

29. Publication counts

30. Citation counts

31. Bibliometric metrics

32. Voting

33. Reputation, Reviews, Rating (Liquid Journal)

34. And many more …

35. Peer Evaluation

37. Complex Metric Computation Logic Diversity Autonomy Variability

38. PROPOSED SOLUTION Putting everything together Capability to define complex logic User Personalized metrics support User Input Data Presentation Mashup Magic Evaluate individual, groups … Data Data Common platform for various data sources

39. ARCHITECTURE MASHUP UI Mashup Exec Logic ResEval Components ResEval Domain Model ResEval Mashup Language Mashup Engine Resource Space Management System

40. ResEval Mashup 1 (the vision)

41. ResEval Mashup 2

42. ResEval Mashup 3

43. CONCLUSION & FUTURE WORK We proposed architecture for Personalized metrics definition Resource-Oriented Provide Impact evaluation for individual & groups Future work Mashup platform for complex metric logic Components as web service

44. Thank you.