Browsing by Subject "research integrity"

Now showing 1 - 2 of 2
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    Foundational Practices of Research Data Management
    (Pensoft, 2020-07-27) Briney, Kristin A.; Coates, Heather L.; Goben, Abigail
    The importance of research data has grown as researchers across disciplines seek to ensure reproducibility, facilitate data reuse, and acknowledge data as a valuable scholarly commodity. Researchers are under increasing pressure to share their data for validation and reuse. Adopting good data management practices allows researchers to efficiently locate their data, understand it, and use it throughout all of the stages of a project and in the future. Additionally, good data management can streamline data analysis, visualization, and reporting, thus making publication less stressful and time-consuming. By implementing foundational practices of data management, researchers set themselves up for success by formalizing processes and reducing common errors in data handling, which can free up more time for research. This paper provides an introduction to best practices for managing all types of data.
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    Open Access is necessary but not sufficient to ensure research integrity
    (2022-10-27) Coates, Heather L.
    This interactive session will explore the central role of open access to publications, data, instruments, protocols, code and/or scripts in fostering a culture of research integrity and public trust in research. Through discussion of contemporary investigations into misconduct, we will consider the interconnectedness of good data practices and open access with principles of research integrity. In particular, we will discuss concrete practices related to project management, data management, and training that enable validation, foster a culture of research integrity, and support greater openness in the conduct of research and dissemination of research outputs.