Lab Samples Database "JuliaBase" Published As Open Source
First time accepted submitter bronger writes After six years of closed-source development, the Research Centre Jülich published its database solution for laboratory samples and processes as open source, while continuing maintaining it. JuliaBase is a framework written in Python/Django that enables research institution or research group to set up browser-based samples tracking and measurement management easily. Next to Bika and LabLey, this is one of the very few open source LIMS systems, and in contrast to the others, not specialized in biomedicine or service labs.
Three words into the Headline and the submitter already gets it wrong.
And of course, the Slashdot "Editors" aren't going to help him.
No I do not think so. I have used LIMS and database applications to track samples extensively. If you understand database normalization and Object Orientation you will find that most LIMS can follow a pattern very much the same regardless of the domain. You have samples, which then have tests, which mostly look for constituents, results of the tests, test methods (often ANSI or ISO), blanks, dupes, spikes, counts, densities or concentrations, some decay rates (chemical or radiological), and some other rates such as death rates of test subjects.
That's a huge chuck of chemistry and biology. I have used LIMS for hydrology; which included chemical and boilogical tests; geology; chemical and lithographic; and remediation; which included chemical and biological tests, and materials science which includes chemical and physical properties of materials.
I have seen and spoken with people in medicine and biology and the overlap is quite large with what I have written above. If it does not work either the standard is garbage or you do not understand how LIMS works.
putting the 'B' in LGBTQ+