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Automate and document the workflow for reproducibility. Data has to move around a lot. Big data. Can facilitate collaboration because you don’t have to reinvent the wheel for every project #10

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rndsrc opened this issue May 15, 2019 · 0 comments

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rndsrc commented May 15, 2019

SOP:

Develop a prototypical workflow using the test dataset.
Refine and adjust workflow as the “real” data is generated.
Define what can change and what can’t change with the data format; changes to the format can be iterative but need to be communicated
Empower the data scientists to suggest changes in the data format where needed
Allow for scaling and built in flexibility when building data science workflows in transdisciplinary science.

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