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Rigor and Reproducibility

Recordings and slides from Rigor and Reproducibility webinar series sponsored by Library and Information Technology Services and the WHSC Data Science Initiative

Seminar 1: Data Publication and Citation: How do I get credit for promotion?

Seminar 1: Data Publication and Citation: How do I get credit for promotion?

Wilkinson, M. D., Dumontier, M., Aalbersberg, Ij. J., Appleton, G., Axton, M., Baak, A., … Bourne, P. E. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Sci. Data, 3, 160018. https://doi.org/10.1038/sdata.2016.18

 

Seminar 2: Making Reproducibility Practical: Using R and R Markdown

Seminar 2: Making Reproducibility Practical: Using R and R Markdown

  • Presenter: Melinda Higgins, Research Professor, SON
    • Date of Presentation: Friday, September 4, 2020

Seminar 3: Rigor and Reproducibility at eLife

Seminar 3: Rigor and Reproducibility at eLife

  • Presenter: Ron Calabrese, PhD, Senior Editor at eLife
    • Date of Presentation: November 20th, 2020

Seminar 4: An Introduction to Open Science Principles and Tools

Seminar 4: An Introduction to Open Science Principles and Tools

Seminar 5: Reproducing Reproducibility? Challenges in Reproducing Classifier and Predictive Models.

Seminar 5: Reproducing Reproducibility? Challenges in Reproducing Classifier and Predictive Models. 

Presenters: John Banja, PhD, Lance Waller, PhD

Presentation Date: 4/29/2021

Citations from Presentation:

Nagendran M, Chen Y, Lovejoy C, et al.  Artificial intelligence versus clinicians:  systematic review of design, reporting standards, and claims of deep learning studies.  BMJ 2020; 368:m689  doi: https://doi.org/10.1136/bmj.m689

You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place  November 5, 2019.  Janelle Shane 

Vollmer et al. (2020) Machine learning and artificial intelligence research for patient benefit:  20 critical questions on transparency, replicability, ethics, and effectiveness. BMJ 368:l6927 doi: https://doi.org/10.1136/bmj.l6927 

 

 

 

Seminar 6: An Introduction to the New NIH Data Management and Sharing Policy

Seminar 6:  An Introduction to the New NIH Data Management and Sharing Policy

  • Presentation Data: September 17, 2021
  • Presenters: Jeremy Kupsco, PhD, Research Informationist, Emory Libraries and Jennifer Doty, Data Science Librarian, Emory Libraries

Seminar 7: REDCap at Emory: An Introduction to Best Practices for Research

Seminar 7: REDCap at Emory: An Introduction to Best Practices for Research

  • Date of Presentation: November 18, 2020
    • Presenters: 
      • Sean Mann, MPH, M.Ed

        Product Manager, Research Solutions, Office of Information Technology (OIT)

      • Monica Crubezy, PhD

        Director of Research Solutions, Office of Information Technology (OIT)

Seminar 8. Why is it so hard to do good science?

Seminar 8: Why is it so hard to do good science?

  • Presenter: Dr. Raymond Dingledine, PhD.  Professor in the Department of Pharmacology and Chemical Biology
    • Date of Presentation: February 3, 2022.
  • Citations from Presentation
    • Dingledine R. Why Is It so Hard to Do Good Science? [published correction appears in eNeuro. 2018 Nov 8;5(5):]. eNeuro. 2018;5(5):ENEURO.0188-18.2018. Published 2018 Sep 6. doi:10.1523/ENEURO.0188-18.2018 Emory Access: Here
    • Begley CG, Ellis LM. Drug development: Raise standards for preclinical cancer research. Nature. 2012 Mar 28;483(7391):531-3. doi: 10.1038/483531a. PMID: 22460880. Emory Access: Here
    • Tversky A, Kahneman D. Judgment under Uncertainty: Heuristics and Biases. Science. 1974 Sep 27;185(4157):1124-31. doi: 10.1126/science.185.4157.1124. PMID: 17835457. Emory Access: Here
    • Tversky A, Kahneman D. The framing of decisions and the psychology of choice. Science. 1981 Jan 30;211(4481):453-8. doi: 10.1126/science.7455683. PMID: 7455683. Emory Access: Here
    • Kahneman, Daniel, and Amos Tversky. “Prospect Theory: An Analysis of Decision under Risk.” Econometrica, vol. 47, no. 2, [Wiley, Econometric Society], 1979, pp. 263–91, https://doi.org/10.2307/1914185. Emory Access: Here

    • Kahneman, Daniel. Thinking, Fast and Slow. Farrar, Straus and Giroux, 2011. Emory Libraries Information

 

Seminar 9: Significance Testing: The Reason that Scientific Results Have Poor Reproducibility

Seminar 9: Significance Testing: The Reason that Scientific Results Have Poor Reproducibility

  • Presenter: Timothy Lash, DSc, MPH, Rollins Professor and Chair of Epidemiology Department.
  • Webinar Date: 4/21/2022

Seminar 10: An Introduction to the NIH Data Management and Sharing Policy

Title: An Introduction to the NIH Data Management and Sharing Policy

  • Speakers: Jeremy Kupsco, PhD, Research Informationist, Woodruff Health Sciences Center Library and Jennifer Doty, MSI, Research Data Librarian, Woodruff Library
  • Date Recorded: September 29, 2022

 

Webinar 11: Data Sharing from a Data Sharer's Point of View

Title: Data Sharing from a Data Sharer's Point of View.

Presenters: Lance Waller, PhD and Vicki Hertberg, PhD

Date Presented: 11/19/2022

WHSC Library 100th Anniversary Webinar with Dr. John Banja

Title: The Only Constant is Change: Power in Healthcare Economics and Technology Over the Last 40 Years.

Speaker:  John Banja PhD, Professor Emory Center for Ethics

Webinar Date: April 20th 2023.

WHSC Library 100th Anniversary Celebration: Building on A Legacy: Soaring to New Heights. Featuring Dr. Patti Brennan

Title: Building On A Legacy: Soaring to New Heights.

KeyNote Speaker: Dr. Patti Brennan, Director of the National Library of Medicine.

 Title: Real Libraries for a future powered by Artificial Intelligence.

 

Seminar Series Organizers