Foundational Practices of Research Data Management
| Autor: | Abigail Goben, Heather L. Coates, Kristin Briney |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
FOS: Computer and information sciences
FOS: Media and communications Group method of data handling business.industry Computer science Data management Best practice open data Data management plan General Medicine Reuse Data science Data type Data Format data management plan Visualization Open data Library and Information Studies data ma lcsh:Q data management research data management lcsh:Science business 80499 Data Format not elsewhere classified |
| Zdroj: | Research Ideas and Outcomes, Vol 6, Iss, Pp 1-17 (2020) |
| ISSN: | 2367-7163 |
| DOI: | 10.3897/rio.6.e56508 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|