Here is a link to a protocol we wrote. Not machine readable but standardized across hypotheses. Might be another use case as you come up with a schema. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4175219/bin/12889_2013_7060_MOESM2_ESM.pdf …
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Very nice and detailed. Did you already write the analysis scripts as you wrote this? I wonder if even with this level of detail you wpuld notice a benefit of going all the way to making it machine readable. Would be an intereeting test case of if it has any additional value.
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I assume this is leveraging the scienceverse R package you both have been working on?
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It can, but this is a descripption of the basic idea and the paper does not mention scienceverse (yet).
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Beautiful. Going straight into a review on RRs we’re writing at the moment and nicely compatible with the proposal for RR study design templates cc
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Our next task is to update the scienceverse R package to this format and then make a shiny app to walk people through the process and generate a properly formatted machine-readable version, plus a human-readable summary. (It’s not our intention that anyone learns to write JSON)
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I wish I could like this tweet more than once
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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@timberners_lee is smiling.#semantic#webHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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This is cool!
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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