Scientific Data is designed to complement existing data records in public repositories by providing descriptions of research data that reach across different technologies and data-types; our Data Descriptors also include information to help scientists better evaluate and reuse publicly archived datasets, including
Science involves collecting large amounts of data.
Once you collect that data, you analyze it to figure out what it means and to assess its quality.
Ways of assessing the quality of data include considering the precision, accuracy, and experimental error.
A new study finds that the various choices made by researchers in the statistical analysis can lead to different results, even when analyzing the same data set.