Systematic organization, enhancement, and preservation of research data to maximize its value, accessibility, and long-term utility across scientific disciplines
This section presents two practical applications of data curation, demonstrating how to transform raw data into reliable, analysis-ready information. Through these cases, we show how specialized statistical techniques solve common problems of data integrity and quality, establishing a solid foundation for any subsequent modeling or interpretation.
This example addresses the issue of censored data in geochemistry, where Nickel (Ni) concentrations below the detection limit are corrected using Regression on Order Statistics (ROS). This process ensures the element's true distribution is recovered for valid statistical analysis.
This example focuses on creating a continuous dataset from incomplete records. It employs the geostatistical technique of Magnetic Kriging to interpolate and fill gaps in time-series measurements of the Earth's magnetic field from a network of stations, resulting in a spatially coherent data grid for geomagnetic studies.
