Edmund M. Hart; Pauline Barmby; David LeBauer; François Michonneau; Sarah Mount; Patrick Mulrooney; Timothée Poisot; Kara H. Woo; Naupaka B. Zimmerman; Jeffrey W. Hollister

“ Using the tidy format makes this distinction clearer. One axiom about the structure of data and code holds that one should “write code for humans, write data for computers” [ [23] ] . When data can be easily imported and manipulated using familiar software (whether via a scripting language, a spreadsheet, or any other computer program that can import these common files) , data becomes easier to re-use. Furthermore, having the source code for the software doing the analysis available provides provenance for how the data is processed and analyzed. ”

“ Introduction Data is the central currency of science, but the nature of scientific data has changed dramatically with the rapid pace of technology. This change has led to the development of a wide variety of data formats, dataset sizes, data complexity, data use cases, and data sharing practices. ”

“ For earth science and ecosystem models and data, the Climate Forecasting Conventions are widely adopted, such that a large ecosystem of software and data products exist to reduce the technical burden of reformatting and reusing large and complex data. Because each term in such standards is clearly defined and documented, each dataset can use the terms consistently; this facilitates data sharing across institutions, applications, and disciplines. ”