An offhand, only half-serious comment I made in the Creative Commons open education slack channel in response to a very worthy question from BCCampus’ Amanda Coolidge led to a new (?) metaphor to help explain the different open-licensing implications between collecting and redistributing a group of works with different open licenses versus actually remixing several works to form a new, derivative work: hereafter known as the TV dinner vs the smoothie.
Jupyter BOAT
Collage of "Hubble Spies Spooky Shadow on Jupiter's Giant Eye (color)" by NASA Goddard Space Flight Center, licensed via CC BY 2.0 and a detail of marginalia of rats in a boat from Pontifical of Guillaume Durand, page 162, circa 1367 from Ms. 143 in the collection of the Bibliothèque Sainte-Geneviève, which has no known copyright and considered to be in the public domain.
You may have seen the publication of BOAT, the bulk open attribution tool, that used a spreadsheet to enable you to generate open attribution/licensing statements for any collection of works. I’m now releasing another version of BOAT, that does exactly the same thing, but using a computational notebook instead of a spreadsheet to generate well-formed open attribution/licensing statements from a list of basic information about a collection of works.