Postgraduate Certificate in Research Data Management with R
-- ViewingNowThe Postgraduate Certificate in Research Data Management with R is a comprehensive course designed to meet the growing industry demand for data management skills. This certificate course emphasizes the importance of organizing, storing, and sharing research data effectively, which are critical skills in today's data-driven world.
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⢠<strong>Data Management Planning</strong>: developing a data management plan for research projects, including file naming conventions, organization, and backup strategies.
⢠<strong>Data Description and Documentation</strong>: documenting data using metadata standards, data dictionaries, and codebooks to ensure findability, accessibility, and reusability of data.
⢠<strong>Data Cleaning and Preprocessing with R</strong>: using R packages such as tidyverse, lubridate, and stringr to clean and preprocess data, including handling missing values, data transformation, and data aggregation.
⢠<strong>Data Analysis and Visualization with R</strong>: using R packages such as ggplot2, dplyr, and tidyr to analyze and visualize data, including creating graphs, charts, and statistical models.
⢠<strong>Data Sharing and Archiving</strong>: sharing and archiving research data using repositories, data journals, and other platforms, including considerations for data licensing, citation, and version control.
⢠<strong>Data Security and Ethics</strong>: protecting research data from unauthorized access and ensuring data privacy and confidentiality, including ethical considerations for data management and sharing.
⢠<strong>Data Integration and Interoperability</strong>: integrating and linking data from multiple sources and formats, including data standards, APIs, and linked data.
⢠<strong>Data Quality Assurance and Control</strong>: ensuring the quality and reliability of research data, including data validation, quality control, and assurance procedures.
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