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Mortar: unify quickstatements and pattypan into a unique workflow
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Description

From one GLAM CSV + photo collection , create a unified workflow using quickstatements + pattypan to upload everything in Commons and Wikidata in a user-friendly way

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Event Timeline

Lena created this task.May 17 2019, 7:51 AM
Restricted Application added a subscriber: Aklapper. · View Herald TranscriptMay 17 2019, 7:51 AM
SIryn added a subscriber: SIryn.EditedMay 17 2019, 8:53 AM

The tool I was referring to that is 's an extensible open source web-app for transforming datasets and uploading data and media to online repositories.' is GLAMpipe:
http://glampipe.org/

SIryn reassigned this task from Lena to Ciell.May 17 2019, 9:17 AM
Lena claimed this task.May 17 2019, 9:58 AM
Lena added a subscriber: Ciell.

So, I have extracted a dataset consisting of 750 something old prints (end production date <1870) from the collection of our National Museum for Folk Culture.
.csv attached.
What I need help with now:

  • it needs to be cleaned because there is sensitive data in there that can not be published on Wikidata (insurance value etc.), but Open Refine is giving me a hard time just separating the columns
  • the file contains the image urls that are on our image server and need to be downloaded from there, but I do not know how to do this either.

So, can you help me? Or we can just start working on it together.

From my understanding OpenRefine can help us for some of the task. We are lacking good documentation of OpenRefine. We might want to document OpenRefine for our usage.

Bot by Rama to create Wikidata ID and Commons informations about one file of artwork picture

Lena added a comment.May 17 2019, 1:32 PM

Since OpenRefine already generates the QID of the items generated we don't need to do dev work, "only" to create a very user-friendly help page that details every step for GLAM institutions and Wikimedia photographers.

Hi! I can tell about GLAMpipe!

The tool I was referring to that is 's an extensible open source web-app for transforming datasets and uploading data and media to online repositories.' is GLAMpipe:
http://glampipe.org/