Dear Community Member,
We are pleased to invite you to the first-ever Ghana Histo-Cita-thon on
Friday 27th November 2020, at the SSNIT Guest House. The evenT will
be happening from 9am to 2pm.
The Ghana Histo-Cita-Thon is a Wikicite event aimed at educating and
exposing members within the Wikimedia Movement to the benefits of using
books, journals, and newspapers in creating and improving Wikipedia
articles and Wikidata items.
The workshop will be followed by a month-long online contest that is
specifically focused on personalities and events that have significantly
contributed to the Ghanaian Independence story.
All participants attending the event will be given a certificate of
Kindly make your reservation by signing up here to join in person.  or
here to join virtually. 
Visit the link  below to learn more.
Project Lead, Ghana Histo Cita-thon
Wikidata is becoming too big to monitor individual data points
continuously. Additionally, keeping Wikidata’s data in sync with external
databases is hard and existing workflows are haphazard and one-off.
The Wikidata development team is interested in making it easier to compare
Wikidata’s data with other databases in order to flag mismatches so that
editors can more easily find and work on them.
We would love to talk to interested persons who've had some experience
working on reconciling mismatches between Wikidata and other databases, to
learn how you discover inconsistencies and the process you take to fix
them, to enable us to understand your needs in the context of your work. The
discussion will happen in English at a time depending on your availability.
If you’re interested in participating, please let me know and I will
contact you as soon as possible with the next steps. In case a call may be
difficult, we're also happy to receive your responses via text (I'll paste
the questions below).
Please don’t hesitate to reach out if you have any questions.
Thank you so much for your support,
1. Would you like to give us an overview on how you work with the data
on Wikidata, specifically with a focus around comparing the data with other
2. How do you precisely detect the mismatches? Can you guide us through
the process? What kind of tools are you mainly using for comparing the data
or supporting your work in this area?
3. What are the valuable lessons that you learned or that you think we
should know about?
4. Given that there are many databases out there, how would you suggest
we prioritize and focus and why?
5. Is there any additional information (links, documentation, articles)
that you would like to share? Are there people/organizations that you would
suggest we reach out to?
*Community Communications Manager for Wikidata/Wikibase*
Wikimedia Deutschland e.V.
Tempelhofer Ufer 23-24