1. Metrics for Assessing Research Impact Article Level Metrics October 2013 William Gunn, PhD Head of Academic Outreach @mrgunn https://orcid.org/0000-0002-3555-2054

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3. Key questions What’s the problem? What’s the opportunity? How do we serve researchers? How do we get the context right?

4. What is the problem? Is a researcher doing impactful research? Does an institution have an effective research program? Is the research being effectively disseminated? Is the work advancing the field?

5. How do you measure advancement? What are the units?

6. The HIPPO https://secure.flickr.com/photos/doug88888/5937412419/

7. People like numbers https://secure.flickr.com/photos/tifotter/2312080178/

8. “Not everything that can be counted counts and not everything that counts can be counted.” – William Bruce Cameron (1967)

9. Let research be research https://secure.flickr.com/photos/bert_m_b/2418461161

10. http://xkcd.com/54/

11. The Opportunity Helping researchers make better decisions Some answers –Find out what researchers really need & try to meet that need Some unanswered questions –What do the different metrics tell you? –Whose needs are best served by which info? Some unasked questions

12. What we do know Amgen: 47 of 53 “landmark” oncology publications could not be reproduced.47 of 53 “landmark” oncology publications Bayer: 43 of 67 oncology & cardiovascular projects were based on contradictory results43 of 67 oncology & cardiovascular projects Dr. John Ioannidis: Of 432 publications purporting sex differences in hypertension, multiple sclerosis, or lung cancer, only one data set was reproducible.432 publications purporting sex differences

13. “authors who make data from their articles available are cited twice as frequently as articles with no data… but otherwise equal qualifications” Gleditsch, N.P. & Strand, H. Posting your data: will you be scooped or will you be famous? International Studies Perspectives 4, 89-97 (2003). http://dx.doi.org/10.1111/1528-3577.04105

14. Post-scarcity in data “Preservation should be baked into the tools that we use… I would like for you to think of yourselves as people engaged in a task that is important to everyone and not just people in a scholarly niche.”

15. ...and aggregates research data in the cloud Mendeley extracts research data… Mendeley makes science more collaborative and transparent: Install Mendeley Desktop

19. Future Directions Let’s get better at understanding how to meet researcher needs. Let’s get the context right for metrics. Practical tips –Collect lots of data –Build expertise in analysis –Make that data available openly – it’s more valuable in aggregate than siloed apart.

20. http://www.flickr.com/photos/delfo/153254882/

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