Difference between revisions of "Submissions:2018/WikiData, Mix'n'Match, and Libraries"
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'''If you are interested in attending this session, please sign with your username below. This will help reviewers to decide which sessions are of high interest. Sign with four tildes. (<nowiki>~~~~</nowiki>).''' |
'''If you are interested in attending this session, please sign with your username below. This will help reviewers to decide which sessions are of high interest. Sign with four tildes. (<nowiki>~~~~</nowiki>).''' |
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| + | # [[User:Gamaliel|Gamaliel]] ([[User talk:Gamaliel|talk]]) 22:17, 13 August 2018 (UTC) |
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# ''Add your username here.'' |
# ''Add your username here.'' |
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Revision as of 22:17, 13 August 2018
- Title
- WikiData, Mix'n'Match, and Libraries
- Theme (optional)
- Tech & Tools
- Type of submission
- Presentation
- Author
- Rachel Helps
- E-mail address
- Rachel_Helps
byu.edu
- Wikimedia username
- Rachel Helps (BYU)
- Affiliation(s) (optional)
- Harold B. Lee Library, Brigham Young University
- Abstract
- Academic libraries often have databases of information. It is possible to automatically match a database to corresponding Wikidata items with the Mix'n'Match tool. I'll walk through the process of how to import a database into Mix'n'Match from start to finish. I'll start with evaluating a database to see if it should have its own property, and how to propose a new property on Wikidata. I'll explain how the Mix'n'Match upload tools work, and when it is better to try to manually upload your database. I'll show how to approve automatic matches, and recommend it as an introductory editing task for librarians. For unmatched entries, I'll briefly go over Wikidata's notability criteria and when to make a new Wikidata item for an unmatched item. If there's time, I'll demonstrate a few SPARQL queries surrounding a Mix'n'Match database. For this instruction, I'll draw on my own experience manually uploading one database and getting a property approved for another.
If this proposal is accepted, I'll ask Magnus more about exactly how items are matched and how the scraping import tool works and incorporate the information into my presentation.
- Length of presentation
- 20 minutes
- Special requests
- I am open to collaborating with another person on a longer presentation. I'm definitely not an expert, but I'm happy to share what I've learned.
- Preferred room size
- 10 people
- Have you presented on this topic previously? If yes, where/when?
- No
- If you will be incorporating a slidedeck during your presentation, do you agree to upload it to Commons before your session, with a CC-BY-SA 4.0 license, including suitable attribution in the slidedeck for any images used?
- Yes
- Will you attend WikiConference North America if your submission is not accepted?
- maybe
Interested attendees
If you are interested in attending this session, please sign with your username below. This will help reviewers to decide which sessions are of high interest. Sign with four tildes. (~~~~).