Date: 22nd June 2020
Time: 14:00 UTC
Science requires evidence behind an assertion. As William Deming said, “without data, you’re just another person with an opinion.” So the argument in a research article must have some sort of evidence, i.e. data, behind it. But does the data support the article or does the article support the data? Both actually. It is the responsibility of the researcher to provide a package of evidence and argument in order to advance our understanding.
This presentation will introduce ways to interconnect your article and data in ways that make them most readily understood and useful by others. Topics include how to prepare data for presentation, how to ensure the data are well stewarded, and how to provide fair credit and access to data through citation. It will also touch briefly on other research outputs like software and protocols.
Name of the Speaker: Mark A. Parsons
Designation: Research Scientist and Editor in Chief
Affiliation: Rensselaer Polytechnic Institute and Data Science Journal
Mark Parsons is a Senior Research Scientist at the Tetherless World Constellation at Rensselaer Polytechnic Institute. He researches mediation and how researchers actually share data and collaborate. Mark was the first Secretary General of the Research Data Alliance (RDA) and stepped down in July 2017. He focuses on stewarding research data and making them more accessible and useful across different ways of knowing. He has led major data stewardship efforts for more than 20 years, and received the American Geophysical Union Charles S. Falkenberg Award as an advocate of robust data stewardship as a vital component of Earth system science and as an important profession in its own right. Prior to joining Rensselaer, Mark was a Senior Associate Scientist and the Lead Project Manager at the National Snow and Ice Data Center (NSIDC). While at NSIDC, he defined and implemented their overall data management process and led the data management effort for the ICSU/WMO International Polar Year 2007-2008. Mark is the Editor-in-chief of the CODATA Data Science Journal.