Science data life cycle model

For our life cycle model, I propose we use the model from the CENDI Report from the Workshop to Improve SDM:

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Plan > Collect > Integrate & Transform > Publish > Discover & Inform > Archive or Discard

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Here is a pretty picture from the report. (I can't seem to put the actual picture here rather than a link, need more path info?)

One thing lacking in all the models, though maybe it's implied, is a loop. Wouldn't most would agree that a loop back should be made: Discover & Inform > Integrate & Transform? That could cover the versioning and repurposing of data.

Also, I might rename "archive" as "preserve", because "preserve" to me implies an ongoing process, e.g., maintaining access and/or readability.

The model seems comprehensive enough and simple. The names seem to capture most of the aspects I can think of and also take a data rather than a science perspective, e.g., "inform" rather than "analyze". In particular, I like the use of "publish" because I believe there are important issues around that concept.

I've updated my diagram with the life cycle model and taken the liberty to upload it here: Data life cycle activities, concerns, and perspectives.

Please provide feedback!