Wikidata:WikiProject LD4 Wikidata Affinity Group/Conferences/LD4-2021-Project

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LD4-2021 Project page


This project has concluded, but feel free to use this page as a template for future projects!

Welcome to the LD4-2021 Conference Social activity page. Take a break from your busy conference schedule and create some Wikidata items! You can find a full list of instructions to help you contribute to this live project. Thanks for stopping by.

Time to make some linked data!
Linking data

What do I do?[edit]

  • Join our Dashboard - The project Dashboard will help track our work on this project. If you don't join the Dashboard, it won't be able to record your contributions (clicking that link will enroll you in the Dashboard)
  • Take some trainings if you're new to Wikidata
  • Start editing! Keep reading to learn how to use some Wikidata tools an where to locate the data

The Project[edit]

  • For the duration of the LD4 2021 we invite you to edit Wikidata, creating and reconciling items for the CineChile dataset. We'll be focusing on creating Wikidata items for people in the CineChile database
  • Why are we doing this? People are common items on Wikidata. People are one of the easier things to describe on Wikidata. We also have a database full of names, so we don't have to worry about notability
  • We selected this database in particular to increase representation of Latin American filmmakers on Wikidata
  • This dataset also stood out to us because of the low number of matched items

Goal[edit]

  • All week long we will edit Wikidata to create new items representing individuals involved in Chilean film. As of the start of the week, there are only ~500 matched people out of nearly 20,000. The more we can match, the better! This will demonstrate how you can create structured, linked data. At the bottom of the page are some queries that can demonstrate linked data in action. Representing individuals with linked data will better connect them to other entities in the filmmaking data cloud.

How to edit[edit]

There are a lot of ways to edit Wikidata. We recommend trying out some of these tools as you start to edit.

Mix'n'match[edit]

Mix'n'match is a "tool" that takes a catalog or dataset and automatically searches Wikidata and Wikipedia for entities (in this case people). It "matches" them as best as it can and we get to finish the matching process. When you click into Mix'n'match, you'll see "Fully matched," "Preliminarily matched," and "Unmatched." We'll focus on "preliminarily matched" and "unmatched." All you have to do is click on either of those links and try to verify if both entries refer to the same person. You may have to do some external searching (use a search engine or the Internet Movie Database - IMDB) to help verify. Please don't guess if you are not sure. You can always go to the next entry.

  • CineChile Catalog on Mix'n'match. Click this link to see the dataset and start editing (note: double check that you're logged in before you start editing)

Manual editing[edit]

After you create an item, Mix'n'match will open a new tab in your browser displaying the newly-created item. You can add more statements to the new item. Be sure to include references to substantiate your claims.

Metrics[edit]

Dashboard[edit]

From the home tab of the Dashboard you can see several statistics about our project. A caveat about them is that the Dashboard pulls in all user contributions on Wikidata. This means that if anyone is editing outside of this project, those edits are recorded as well. If anyone is doing merges, this will result in negative references being captured. Unfortunately, we cannot currently scope the Dashboard to track specific edits from users. This may be a little frustrating, however, it's still a nice indicator of LD4-attendee activity, impact, and enthusiasm on Wikidata. Plus we can see some actual project-oriented statistic on Mix'n'match itself.

Mix'n'match[edit]

If you scroll down in the CineChile catalog on Mix'n'match you will be able to see matches over time. Below that you'll see the leaderboard for most active community members on this project. If you're curious to see the most recent changes, you can see them here.

Common Properties[edit]

Wikidata calls predicates properties. Properties are relationships that describe the connection between items (subjects) and their values (objects). Listed be low are some commonly used properties for describing people - specifically actors, filmmakers, directors, and others.

For this project, the following table contains a set of common properties you can use to describe filmmakers. The idea is to create new items or add to existing items. No item will ever be complete. The idea is just to improve items in this area.

Schemas[edit]

Schemas are a set of common properties used to describe something. You can either click these links to see a list of properties or scroll down to see groups of properties. All of these should serve as ideas for statements you can add to Wikidata.

References[edit]

It will be important to add references to the statements we make on Wikidata. There are many ways to capture references. One of the most common is using reference URL (P854), which will point the source for the statement using a URL. It's nice to add a "retrieved" qualifier too. You can see what this looks like in the example below.

Human Properties[edit]

These are common properties for describing humans. Click through the links to learn more about them.

Dates about people[edit]

date of birth
Normal rank


add value

Creative Works[edit]

  • place of birth (P19): most specific known (e.g. city instead of country, or hospital instead of city) birth location of a person, animal or fictional character
  • place of death (P20): most specific known (e.g. city instead of country, or hospital instead of city) death location of a person, animal or fictional character
  • country of citizenship (P27): the object is a country that recognizes the subject as its citizen
  • work location (P937): location where persons or organisations were actively participating in employment, business or other work

Career statements[edit]

  • occupation (P106): occupation of a person; see also "field of work" (Property:P101), "position held" (Property:P39)
  • genre (P136): creative work's genre or an artist's field of work (P101). Use main subject (P921) to relate creative works to their topic

Personal identity[edit]

Note: these are not consistently used, they should be critically considered, data should be treated as incomplete, and they have serious privacy considerations especially for living people...please be sure these are well-sourced if you choose to add these statement

  • sex or gender (P21): sex or gender identity of human or animal. For human: male, female, non-binary, intersex, transgender female, transgender male, agender, etc. For animal: male organism, female organism. Groups of same gender use subclass of (P279)
  • ethnic group (P172): subject's ethnicity (consensus is that a VERY high standard of proof is needed for this field to be used. In general this means 1) the subject claims it themselves, or 2) it is widely agreed on by scholars, or 3) is fictional and portrayed as such)

Institutional affiliations[edit]

Relationships[edit]

influenced by
Normal rank Paloma Baeza (Q434033)
0 references
add reference


add value
  • student of (P1066): person who has taught this person
  • partner in business or sport (P1327): professional collaborator
  • spouse (P26): the subject has the object as their spouse (husband, wife, partner, etc.). Use "unmarried partner" (P451) for non-married companions
  • unmarried partner (P451): someone with whom the person is in a relationship without being married. Use "spouse" (P26) for married couples
  • mother (P25): female parent of the subject. For stepmother, use "stepparent" (P3448)
  • father (P22): male parent of the subject. For stepfather, use "stepparent" (P3448)
  • sibling (P3373): the subject and the object have at least one common parent (brother, sister, etc. including half-siblings); use "relative" (P1038) for siblings-in-law (brother-in-law, sister-in-law, etc.) and step-siblings (step-brothers, step-sisters, etc.)
  • child (P40): subject has object as child. Do not use for stepchildren—use "relative" (P1038), qualified with "type of kinship" (P1039)
  • relative (P1038): family member (qualify with "kinship to subject", P1039; for direct family member please use specific property)
  • family (P53): family, including dynasty and nobility houses. Not family name (use P734 for family name).

Awards[edit]

award received
Normal rank National Humanities Medal (Q1571938)
0 references
add reference


add value

External IDs[edit]

Identifier Lists Example person
CineChile filmmaker ID (P6750): identifier for people listed at CineChile, the Chilean cinema encyclopedia random list Ana González Olea

Data Models[edit]

A data model is a set of common properties we use to describe things on Wikidata. Data models are not prescriptive. Often the best way to learn how to model items is to look at existing well-modeled items. Here is a small list to get you started.

Directors[edit]

  • Alejandro Jodorowsky (Q263730): Chilean-French filmmaker and comics writer
    • This person is well-described
    • Most items will not contain this many statements

Actor[edit]

  • Alfredo Castro (Q8195351): Chilean actor and director
    • This one is in great shape
    • Most items will not contain this many statements

Queries/Lists[edit]

Check out our progress using the following queries. If you're new to Wikidata, queries are a way of pulling a specific set of data from Wikidata. These queries will show what currently exists in Wikidata (as of when you run the query). This number will change throughout the week.

What already exists?[edit]

I want to add more[edit]

  • Great! Run this query (blue play button) to see existing CineChile people with blanks you can start to fill in

Wikidata Case studies[edit]

These are some useful case studies to demonstrate Wikidata in action. This project focuses on representing people on Wikidata, but you can represent anything on Wikidata, including entire art collections. These case studies will start to answer the question: What happens when I add my data to Wikidata? What happens when I reconcile names on Wikidata? Some of these are completed (CMA) and others are works in progress (many institutions contained within the Sum of All Paintings). You can feel free to use these examples as templates for your your future work on Wikidata!

  • Sum of all paintings - A project to represent all paintings on Wikidata. This is a sprawling project, split up into pages about artists, paintings, collections, and the museums that house them. There are maintenance pages that show gaps and dynamic tables that show progress in filling these gaps
  • Cleveland Museum of Art (CMA) - A project to move 30,000 records from the CMA catalog onto Wikidata. This link contains data visualizations, workflows, a list of participants and more