Over recent decades, motivated either by practicality or the need to tap into new types of measurements, the science of Magnetic Resonance has expanded into more adverse conditions: deliberately chosen lower frequencies, inhomogeneous fields, and/or time-variable fields. The extensive body of research involving NMR at higher and more homogeneous fields -i.e., highly optimized static magnetic fields, encourages the assumption that previous research has precluded the discovery of new techniques and perspectives relevant to the acquisition of one dimensional NMR data. However, Overhauser Dynamic Nuclear Polarization (ODNP) presents a case study that challenges this expectation and offers an interesting test-bed for further developments. For example, an interest in the nanoscale heterogeneities of hydration dynamics demand increasingly sophisticated and automated measurements deploying ODNP on a modular, open source instrument operating at 15 MHz. As part of this effort, ODNP requires the acquisition and automated processing of large quantities of one dimensional NMR spectra. The acquisition of this data can present various problems: in particular, unambiguous identification of signal in newly configured instruments presents a practical challenge, while field drift tends to remain an issue even in fully configured instruments, among other issues.Recent advances in the capabilities of open-source libraries opened up the opportunity to address these issues at the fundamental level, by developing a specific schema that treats the phase cycle of a pulse as an explicit "phase domain" dimension that Fourier transforms into the "coherence domain." In particular, a standardized protocol for organizing and visualizing the resulting data clearly presents all the information available from all coherence transfer pathways of a phase-cycled experiment, with intelligible results that don't rely on preliminary phase corrections. It thus organizes and visualizes data in ways that more accurately reflect the rich physics of the underlying NMR experiments, and that more fully bear out the original fundamental concepts of coherence transfer pathways. It also enables development of a collection of algorithms that provide robust phasing, avoidance of baseline distortion, and the ability to lift relatively weak signals out of a noisy background through a signal-averaged mean-field correlation alignment algorithm. Both the schema for processing and visualizing the raw data, and the algorithms whose developments it guides are expected to be either directly applicable or easily extensible to other techniques facing similar challenges, particularly to other emerging forms of coherent spectroscopy that support pulse phase cycling.