Good enough practices in scientific computing

Good enough practices in scientific computing

Computers are now essential in all branches of science, but most researchers are never taught the equivalent of basic lab skills for research computing. As a result, data can get lost, analyses can take much longer than necessary, and researchers are limited in how effectively they can work with software and data. Computing workflows need to follow the same practices as lab projects and noteboo...

Good Usability Practices in Scientific Software Development

Scientific software often presents very particular requirements regarding usability, which is often completely overlooked in this setting. As computational science has emerged as its own discipline, distinct from theoretical and experimental science, it has put new requirements on future scientific software developments. In this paper, we discuss the background of these problems and introduce n...

Best Practices for Scientific Computing

Scientists spend an increasing amount of time building and using software. However, most scientists are never taught how to do this efficiently. As a result, many are unaware of tools and practices that would allow them to write more reliable and maintainable code with less effort. We describe a set of best practices for scientific software development that have solid foundations in research an...

Because good enough is never good enough

hsr Proceedings in intensive care and cardiovascular anesthesia 2012, Vol. 4 Corresponding author: Prof. Michael John Università Vita-Salute San Raffaele Via Olgettina, 48 20132 Milan, Italy e-mail: [email protected] And now for something completely different. Formula one racing drivers need to know the track they will be speeding around to avoid injuring themselves and others, and hopefully ...

Good Laboratory Practices Are Not Synonymous with Good Scientific Practices, Accurate Reporting, or Valid Data