User:Hanyangprofessor2

See w:User:Hanyangprofessor2 but basically I am User:Piotrus on a public computer

First steps

Go to https://dashboard.wikiedu.org/training . Open the Introduction to Wikidata module

Labels and descriptions

Go to Wikidata. Find a topic that does not have a label or description in a language you know (English, Chinese, Korean, etc.) and add the missing label or description (ex. Chinese name or Korean label).

Statements and properties

Now, try to add a missing property to an item. For longer entries, you have to scroll to almost bottom and click “add statement”. I recommend finding a small topic which has few statements. Compare it with a similar big topic and see what is missing, then add a statement you see in a big topic to the small topic.

Identifiers

Let’s add one or more identifiers to a page that needs them. Read about identifiers here: https://www.wikidata.org/wiki/Wikidata:Identifiers Suggested identifiers to add:  Korean db: Naver Encyclopedia ID https://www.wikidata.org/wiki/Property:P7506, Daum movie ID (P4277), .Namuwiki ID (P8885), Daum Encyclopedia ID (P5184)  Chinese db: Douban film ID (P4529), 1905.com film ID (P10537), Zhihu topic ID (P3553), Baidu Tieba name (P11196)  Or a movie identifier (look at https://www.wikidata.org/wiki/Q61448040 for a big list of movie-related identifiers)

qualifiers, references and rank

Today we will practice the use of qualifiers and references. Add referenced qualifiers to a Wikidata entry. For example, go to a city wikidata page of your choice. Find the statement “population” and try add data for years that is not present there. For examples to compare, check entries such as “Ansan” or “Hong Kong”. If a statement has multiple qualifiers, use the rank feature to chose the best one (most recent data, for example).

creating a new page

Create a new wikidata page for something that can be described using references but does not exist on wikidata. Suggestions: books, songs, games, television episodes, etc. For example, think of a book author you like. See which of their books have wikidata pages. Which are missing? And then try to create a page for the missing books. Add statements, references, and identifiers. To create a new item, click “Create a new Item” on the menu to the left.

expanding a page

Today we will continue developing the wikidata page you created last class. How many different statements and identifiers can you add? When you are finished, you should have at least 20 statements and 2 identifiers. To make this easier, go to your preferences, gadgets, and enable the “Recoin” gadget.

AIs

Use ChatGPT or an AI service of your choice to generate a Wikidata query answering a question such as “list every single city that currently has a mayor who identifies as a woman” but of interest to you. You can ask about anything. Then use the code in the Wikidata query service at query.wikidata.org to generate a result. If your query does not work, ask for help at https://www.wikidata.org/wiki/Wikidata:Project_chat . Link your broken query with a short url like this : https://w.wiki/847h

When is ChatGPT answer better than Wikidata? When do want to ask for code for Wikidata query? Remember my original question above, about cities with women mayors. ChatGPT could not answer it, but gave me a wikidata code that answered it. What other questions can wikidata answer that chapGPT cannot?

Modifying examples

Chose a wikidata query example from https://query.wikidata.org/ Modify it based on what you have learned so far. Tell me what have you learned about wikidata queries and code?

Activities

Complete the Wikidata tutorials: https://www.wikidata.org/wiki/Wikidata:Tours

Then show me you can add coordinates, images, inception date, official website and administrative territory values.

Create a query that will list museums in South Korea using the system shown in the animation in class tinyurl.com/wikidatagif Additionally, can you show it on a map? (Limit: first 5 people)

More

Today we will improve the wikidata entries you created before. Look at the best Wikidata pages listed here: https://www.wikidata.org/wiki/Wikidata:Showcase_items What do they have that your entries do not? What can you add to your entries based on those examples?

Donating datɑ

Case studyː in 2016 the conference organization TED has hired two Wikipedians in Residence, and released metadata of their hosted TED talks on Wikidataː Wikidata:TED. This is an example of the Wikidata:Data_donation. Think what benefits partnership with Wikidata (data donation) would have with your future dream employer? What kind of data could they share with Wikidata and how would they benefit from that? How can you convince them this is a good idea - and get yourself hired as a wikidata specialist?

Tools

Explore the tools related to Wikidata (https://www.wikidata.org/wiki/Wikidata:Tools) and tell us what is the coolest/most useful tool you have found and why. Think how it can be used by you, or your future workplace.

How can we make big data more accessible? Can wikidata be pretty? Cool? Take a look at tinyurl.com/wikidatavis . Which tools are useful and why? How can you use them in practice?

Gamification

Does gamification make working with Wikidata/Wikipedia more fun? Take a look at https://www.wikidata.org/wiki/Wikidata:Games . Try some games! Are they fun? Can they encourage people to contribute to Wikidata?

We will also compete to see who can fix the most errors (add missing data). I recommend the following games: Gender – what is the gender of that person? tinyurl.com/wikidatagamegender

Job – what is the job of that person? tinyurl.com/wikidatagamejob

Citizenship/nationality – what is the nationality of that person? tinyurl.com/wikidatagamecitizenship

Is this wikidata page and the corresponding gallery on Wikimedia Commons related? tinyurl.com/wikidatagameimagecategory

Conference

We are in the middle of the Data Editing Dates conference: https://www.wikidata.org/wiki/Wikidata:Events/Data_Modelling_Days_2023 What are Wikidata experts discussing? Which of the talks and presentations is most interesting and why? Form a group of 4 people. Chose one of the talks (presentations) and listen to it today or over the weekend (try to join it for the live discussion session if possible). Tell me today which talk you want to join and then present a summary of it on Monday (a 5 minute Powerpoint/Prezi). Students who SPEAK on Monday can get up to 10 points (people who help prepare presentation but do not speak can get up to 5 points).

I strongly encourage you to attend one session (presentation) in real time, and participate in the chat and collaborative note taking.

Professor entries

Competition: create wikidata articles about professors from Hanyang (not me) or other universities you are affiliated with. Make sure they have at least one identifier and 5+ statements. Who can create the most?

Required properties: P31, P21, P106, P108 Recommended properties: P27, P856, P569, P19, P69 Recommended identifiers: P8223, P1960, P496, P5715, P2038

Example: Q6452755, Q71632141, Q57975240, Q16508187