6 steps to build an OSS governance program for data science
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The open-source ecosystem is crucial to many of today’s cutting-edge digital fields, including data science and machine learning. No single technology vendor can outmatch the pace of innovation the open-source data science community maintains.
However, just like all software, open-source carries risk, and many data science teams are still lacking security protocols. For some, there simply aren’t security protocols or governance tools for open-source software (OSS).
Read on to learn about 6 steps you can take to implement an OSS governance program that works for data science and set your teams up for success.