Main content

20220824 Do Right by Your Data: Defeating Bias(es) in the Multiverse of Research


Loading wiki pages...

Wiki Version:
**Do Right by Your Data: Defeating Bias(es) in the Multiverse of Research** ----------------------------------------------------- **Description** The Longwood Medical Area (LMA) Research Data Management Working Group (RDMWG) offers regular online seminars for various research data management (RDM) topics. This seminar on "Do Right by Your Data: Defeating Bias(es) in the Multiverse of Research" was offered on August 24, 2022. This panel discussion addresses: - Diverse sources of bias, and how current experimental design, data management, and statistical practices attenuate their potential to confound research - Ethical considerations when researchers make choices about the acquisition, use, analysis, and interpretation of data - How different data management and data sharing practices can support or undermine the quality of research We suggest reading "[The 7 deadly sins of research][1]." **Webinar Speakers** - Jim Gould, PhD, Director, HMS/HSDM Office for Postdoctoral Fellows, Harvard Medical School - Kim Serpico, MEd, CIP, Associate Director of IRB Operations, Office of Regulatory Affairs and Research Compliance, Harvard T.H. Chan School of Public Health - Daniel Wainstock, PhD, Director for Research Integrity, Office for Academic and Research Integrity, Harvard Medical School **Webinar Materials** [Presentation Slides (PDF)][2] @[youtube]( [1]: [2]:
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.