Ten quick tips for getting the most scientific value out of numerical data.

ABSTRACT: Most studies in the life sciences and other disciplines involve generating and analyzing numerical data of some type as the foundation for scientific findings. Working with numerical data involves multiple challenges. These include reproducible data acquisition, appropriate data storage, computationally correct data analysis, appropriate reporting and presentation of the results, and suitable data interpretation. Finding and correcting mistakes when analyzing and interpreting data can be frustrating and time-consuming. Presenting or publishing incorrect results is embarrassing but not uncommon. Particular sources of errors are inappropriate use of statistical methods and incorrect interpretation of data by software. To detect mistakes as early as possible, one should frequently check inter

SUBMITTER: Schwen LO 

PROVIDER: S-EPMC6181270 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature