Lots of checking just happens automatically (and if there’s something wrong you’ll usually get a suggestion about how to fix it). When you’re done, press Deploy, and you can deploy locally, or privately or publicly to the cloud. Then if you’ve got, say, a Dataset, you just insert it in the notebook, then add examples (using the Insert ResourceObject button to insert references to the object you’re creating). File > New > Repository Item > Data Repository Item gives you: In Version 12.1 we’re introducing a new, streamlined submission mechanism for the Data Repository. One of the innovations in the Function Repository is a very streamlined process for submitting new functions, applicable both for the public Function Repository, and for individual deployment on a single machine, or in the cloud. We launched the Wolfram Function Repository in June 2019, and there are already 1146 functions published in it. Making the Data Repository Easy (March 2020) The contents of this post are compiled from Stephen Wolfram’s Release Announcements for 12.1, 12.2, 12.3 and 13.0. Here are the updates to the Data and Function Repositories since then, including the latest features in 13.0. Two years ago we released Version 12.0 of the Wolfram Language.
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