15:18:40	 From Yaroslav Halchenko : what is abcd-j? connected to US's ABCD on kids?
15:18:56	 From Michael Hanke : no, regional thing
15:19:05	 From Michael Hanke : Aachen, Bonn, Cologne, Düsseldorf
15:19:12	 From Yaroslav Halchenko : ha, cool
15:23:00	 From Adina Wagner : https://www.abcd-j.de/
15:38:08	 From Stephan Heunis : https://github.com/linkml/linkml/issues/1812
15:39:26	 From Michael Hanke : https://github.com/linkml/linkml/issues/1812
15:48:02	 From Michael Hanke : Torches and pitchforks
15:49:13	 From Adina Wagner : not your fault at all
15:59:21	 From Michael Hanke : https://github.com/psychoinformatics-de/inm-icf-utilities
16:00:20	 From Michael Hanke : https://handbook.datalad.org/en/latest/usecases/encrypted_annex.html
16:00:45	 From Michael Hanke : https://knowledge-base.psychoinformatics.de/
16:16:52	 From Michael Hanke : Posting questions for later:
16:17:06	 From Michael Hanke : Q: Time to promote? What is the TRL estimate?
16:18:46	 From Michael Hanke : Q: Is there a data model that for submitting records and avoid requiring remote access to dataset?
16:18:59	 From Adina Wagner : Noob Question: what's the JSON metadata that dandi datasets possess, is that something standardized?
16:19:44	 From Michael Hanke : No longer a Q: Can it search "haxby"?
16:19:48	 From Adina Wagner : lol
16:19:53	 From Stephan Heunis : Reacted to "No longer a Q: Can i..." with 😁
16:20:03	 From Michal Szczepanik : Reacted to "Noob Question: what'..." with 👍
16:20:05	 From Yaroslav Halchenko : DANDI schema is not "standard" - it is defined in pydantic https://github.com/dandi/dandi-schema/ and then exported to jsonschema for all releases at https://github.com/dandi/schema/
16:20:52	 From Yaroslav Halchenko : but inside that schema, many attributes do link out to existing ontologies/dictionaries e.g. for species etc
16:21:40	 From Yaroslav Halchenko : Re promote: it is public, hence can be used, hence could be promoted AFAIC (as far as I care)
16:22:09	 From Yaroslav Halchenko : submission is just a URL but ATM that interface is not public (Isaac will talk about "read only" instance in next slides)
16:22:33	 From Yaroslav Halchenko : So ATM "submission" is -- upload to github or GIN and we will pick it up
16:25:20	 From Michael Hanke : Q: is there a query language for filtering the entries?
16:25:47	 From Yaroslav Halchenko : "yes but"... here -- shoudl be more elaborate
16:26:31	 From Yaroslav Halchenko : now 
- that searchbox on the web is just a phrase which will be searched for
- in API - can "search" for exact url or UUID limit to specific qualities (size etc)
16:26:32	 From Michal Szczepanik : CMNT: cool that there is an API!
16:29:57	 From Adina Wagner : What is dataset discovery based on? (i.e., what does a dataset need to possess to be findable? Could a cloneable export to a non-git-repo-hosting-service be in principle be found?
16:35:22	 From Yaroslav Halchenko : discovery: ATM it is done in that datalad-usage-dashboard.  There it depends on "source". For github -- 1. search for repos with .datalad/config ; 2. search for repos with commits which have DATALAD RUNCMD commit ; GIN -- all of them; OSF (we are not on datalad-registry) -- searching for datalad datasets
16:37:39	 From Michal Szczepanik : brb
16:39:33	 From Adina Wagner : (need a quick 1 min bio break, brb)
16:48:15	 From Adina Wagner : https://concepts.datalad.org/ontology/SHA1/
16:48:39	 From Adina Wagner : https://concepts.datalad.org/git-provenance-schema/gitsha/
16:59:42	 From Yaroslav Halchenko : I am here, just will get myself something to much -- need calories to power the squashy thing to absorb all the goodness ;)
17:17:14	 From Michael Hanke : Buy the book!
17:24:01	 From Adina Wagner : https://github.com/datalad-handbook/book/blob/main/.appveyor.yml
17:24:12	 From Adina Wagner : ^ CI setup
17:26:01	 From Michael Hanke : docker usage: https://github.com/psychoinformatics-de/paper-remodnav
17:28:01	 From Michael Hanke : Dataset splitting is possible via metadata filtering too!
17:42:40	 From Christian Mönch : The datalad-metalad issue that contains performance number for meta-extract: https://github.com/datalad/datalad-metalad/issues/371
18:25:08	 From Stephan (he/him) : Agree