Foundational Practices of Research Data Management
Abstract
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.
Additional Information
© Briney K et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Received: 14 Jul 2020 | Published: 27 Jul 2020. The authors would like to thank Kara Woo who read and provided thoughtful comments on the manuscript. The authors acknowledge the Research Open Access Publishing (ROAAP) Fund of the University of Illinois at Chicago for financial support towards the open access publishing fee for this article. Author contributions: Kristin Briney: Conceptualization, Project Administration, Writing – Original Draft Preparation, Writing – Review & Editing. Heather Coates: Visualization, Writing – Original Draft Preparation, Writing – Review & Editing. Abigail Goben: Writing – Original Draft Preparation, Writing – Review & Editing. The authors report no conflicts of interest.Attached Files
Published - Briney_2020_FoundationPracticesOfRDM.pdf
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Additional details
- Eprint ID
- 104639
- Resolver ID
- CaltechAUTHORS:20200729-104109691
- University of Illinois, Chicago
- Created
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2020-07-29Created from EPrint's datestamp field
- Updated
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2023-08-08Created from EPrint's last_modified field
- Caltech groups
- Caltech Library