[CODATA-international] Register now: Webinar on Thinking Reproducibility in Your Research Work

Asha CODATA asha at codata.org
Mon Jul 27 11:13:17 EDT 2020


Date: Thursday 13th August 2020
Time: 10 AM Central European Time
Duration: 40 min session and 20 min Question Answers (Total 1 hour)
Registration Link:
https://attendee.gotowebinar.com/register/1542506370658047758

Brief Write up about the session: Over the last half century, many cases of
misconduct have been seen in scientific publications: several published
papers have been retracted as a result of outright fraud, data
manipulation, data theft, and other negative practices. The core tenets of
the scientific research processes are not always upheld by all researchers.
During the past decade, the field of reproducible research has been
welcomed in many corners of scientific research. Its overarching goal is to
revive excellence in scientific research. It requires specific tools and
skill-sets at each stage of the research process, but these are not always
obvious for many researchers. The need to continue to teach the benefits
and processes of reproducibility in scientific research is fundamental. In
this session, I will introduce participants to the landscape of
reproducibility in scientific research and introduce participants to the
main tools required for the implementation of reproducibility in their own
research work. The session will present some case studies to highlight the
issues being discussed.

Name of the Speaker: Bright Nwaru
Designation: Associate Professor
Affiliation: Institute of Medicine, University of Gothenburg, Sweden

Bright is an associate professor of epidemiology at the University of
Gothenburg, Sweden. His research focuses on the epidemiology of respiratory
diseases, including asthma and COPD, through which he collaborates
internationally. He has keen interest in data science and application of
population and clinical data in addressing important research questions in
his areas of interest. He teaches courses in epidemiology and research
methods and is an ardent supporter of reproducibility in scientific
research.


Thanks,

Asha

-- 
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___________________________

Asha Law | Program Assistant, CODATA | http://www.codata.org

E-Mail: asha at codata.org
Tel (Office): +33 1 45 25 04 96

CODATA (Committee on Data of the International Council for Science), 5 rue
Auguste Vacquerie, 75016 Paris, FRANCE
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