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Make research reproducible with transparent data processing

Scientific research should be reproducible. Your scientific reporting should enable others to repeat your research project. Transparent data processing can contribute to reproducible science. Every article, thesis or report contains a “methods” section. Here the author describes typically only on a high-level the calculations that were performed on the measurement data. People acquainted with the field of research can understand this. Others are left with questions.

Saving time with integration of data processing and reporting

Reporting on processed data can become tedious. Imagine having produced twenty graphs from (processed) measurement data. When looking at the graphs the other day, it occurs to you that the colors are indistinguishable for color blind people. Thus you need to produce those twenty graphs a second time. Just because of the colors. You could save yourself from this extra work, when you integrate data processing and reporting.