Wikidata:Events/Data Quality Days 2022
- Welcome!
- The Data Quality Days is an online event designed for the Wikidata community and focusing on processes around data quality. During 3 days of presentations, workshops and facilitated conversations, we will discuss how we are currently identifying and fixing incorrect data on Wikidata, how we could improve these processes to increase data quality, and what concrete measures we could put in place together, with policies, tools or documentation.
- Participation
- The sessions are open to everyone involved in Wikidata and interested in the topic of data quality. The sessions took place on the online platform Jitsi. Some sessions have been recorded in video and uploaded to this Youtube playlist, and collaborative notes are accessible from the schedule. Slides from speakers are added to the Commons category Data Quality Days 2022 presentations. If you attended the event, feel free to add your name on the participants list! Please note that the entire initiative, including the presentations and discussions on various channels, is covered by the Code of Conduct for technical spaces. Please contribute in making the discussion spaces safe and welcoming for everyone.
- Discussions and help
- If you have questions or suggestions about the event, feel free to use the talk page. Announcements about the event are talking place on the same talk page, and on Wikidata Telegram group. If you want to reach out to the organizers directly, feel free to contact Lea Lacroix (WMDE) (lea.lacroix
wikimedia.de or @Auregann on Telegram).
Sessions
[edit]Friday, July 8th
[edit]| Time & links | Session & speakers |
|---|---|
| 16:00 UTC
80min |
Opening session and presentation of the program
During the opening session, we will give you an introduction to the topic of data quality on Wikidata, as well as a glimpse on all the exciting sessions that will take place during the event. On top of that, we will present the various discussions topics that could be covered during the event, and we will offer you to vote for your favorite. Don't miss the opening!
with Léa Lacroix, Lydia Pintscher and Manuel Merz |
| 17:30 UTC
80min |
Discover data quality and patrolling tools
This session will allow you to dive into data quality by discovering various projects and tools. Each topic will be presented in 10min, questions will take place in the chat.
|
| 19:00 UTC
60min |
Social event
Let's have fun together around Wikidata! Join us to participate in a pub quiz, "guess the item", and play other games together. |
Saturday, July 9th
[edit]| Time & links | Session & speakers |
|---|---|
| 09:00 UTC
50min |
Structured conversation #1: Round-tripping data
There are excellent gold-standard sources out there that Wikidata can use, but even those make mistakes. The same is true if you use data from Wikidata for your own project. Therefore, syncs from and to Wikidata should ideally go in both directions (so called “data round-tripping”). Unfortunately, it is currently not as simple as it should be to set this up sustainably. Goals of the session:
Facilitation: Manuel Merz and Lydia Pintscher |
| 10:00 UTC
60min |
Build queries for data quality and maintenance
with Harmonia Amanda and Lucas Werkmeister |
| Break | |
| 12:00 UTC
50min |
How do we deal with concurrent uses of different properties? The example of modeling data for humans
The same information can sometimes be stored in different statements, thus making it very difficult to be found through a single query; I will show some examples, mainly from instance of (P31)human (Q5) items, and I will survey the existing ways of dealing with the problem and possible future solutions. with Epìdosis - presentation |
| 13:00 UTC
50min |
Bug Triage Hour: Data Quality edition
During the Bug Triage Hour, we look at Phabricator tickets together and see how we could improve their description and tags. Come with your favorite tickets related to data quality! with Lydia Pintscher and Manuel Merz |
| 14:00 UTC
50min |
Discussion: Matching new Wikipedia articles to Wikidata items
New Wikipedia articles are continually being created, but they frequently aren't matched up with existing Wikidata items, leading to missing interwiki links, and duplicates on Wikidata. This session will discuss the status quo - including existing matching mechanisms, mass new item creations, and merging work - and identify ways to improve this work in the future. with Mike Peel |
| 15:00 UTC
50min |
Structured conversation #2: Rules and anarchy
Some policies and guidelines on Wikidata are not fully enforced in practice (e.g. Wikidata:Bots, Wikidata:Notability). Ignoring important rules can have negative consequences for the Community and data quality. Goals of the session:
Facilitation: Manuel Merz and Lydia Pintscher |
| 16:00 UTC
50min |
Using Scholia in curation workflows
We will use Scholia to engage in various curation workflows that address several kinds of data issues, from inconsistencies to incompleteness, lack of references and lack of updates. with Daniel Mietchen |
| 17:00 UTC
50min |
Dealing with cross-wiki spam on Wikidata
Presentation of the most important tools and how to use them (RfD, nominating local pages for deletion, useful gadgets etc.), followed by questions and discussions. with Bencemac |
| 18:00 UTC
60min |
Livestream with Ainali & Abbe98 - special Data Quality |
Sunday, July 10th
[edit]| Time & links | Session & speakers | Session & speakers |
|---|---|---|
| 08:00 UTC
50min |
Structured conversation #3: Why isn’t there more guidance on this?
Doing the right thing on Wikidata is often harder than necessary. Some defaults and processes are annoying to the best of us and for new editors a lack of guidance can even be an unsolvable problem. Goals of the session:
Facilitation: Manuel Merz and Lydia Pintscher | |
| 09:00 UTC
50min |
Using Lexemes in Abstract Wikipedia: how can we improve the data?
Abstract Wikipedia's ultimate goal is to automatically create articles in various languages using Natural Language Generation techniques. The success of any such approach will depend to an important extent on the quality of lexicographical and grammatical data in Wikidata. While data in Wikidata was designed to be machine-readable, it is not necessarily in the best shape to assist Abstract Wikipedia's mission yet. In the presentation we will examine the relevant data extant in Wikidata, and how it can be improved. with Ariel Gutman | |
| 10:00 UTC
60min 2 parallel rooms |
Workshop: improving documentation and ontology for Lexemes
with Ariel Gutman |
Follow-up from the conversation about round-tripping data
|
| Break | ||
| 12:00 UTC
50min |
Introduction to Entity Schemas and Shape Expressions | |
| 13:00 UTC
50min 2 parallel rooms |
Schema editing session | Constraint-a-thon
Let's set property constraints together (bring your favorite property ID!) with Mike Peel |
| 14:00 UTC
40min |
Discover data quality and patrolling tools
This session will allow you to dive into data quality by discovering various projects and tools. Each topic will be presented in 10min, questions will take place in the chat. | |
| 14:40 UTC
20min |
Closing session
Wrap-up of the event, documentation and next steps with Léa Lacroix, Lydia Pintscher and Manuel Merz | |
Participants
[edit]If you plan to join one or several events, or to work on projects related to data reuse during this period, you can sign up here!
Feel free to indicate your username and the specific topics you're interested in around data quality.
- Lea Lacroix (WMDE) - Interested in Entity Schemas, processes for data reusers to give back "cleaned" data, improve clarity around ontology
- AGutman-WMF - Representation, consistency and quality of lexical data for use in a possible Natural Language Generation pipeline of Abstract Wikipedia
- Epìdosis - mainly authority control (improving the connection of Wikidata to the authority files of the most important VIAF members) and merging duplicates
- DrThneed - tips on maintaining data quality for new Wikiproject owners - what sort of problems should I be looking for?
- Alhassan Mohammed Awal (talk) 07:48, 9 June 2022 (UTC)
- MisterSynergy — vandalism and patrolling
- Aisha Khatun — Learning how to ensure quality data extracted from Wikidata for various use cases.
- -Mohammed Sadat (WMDE) (talk) 15:30, 14 June 2022 (UTC)
- Jahl de Vautban duplicates prevention and dialog between Wikidata and other data providers we link to.
- Sotho Tal Ker - mainly authority control topics (external data provider quality, conflations/duplicates), fighting vandalism
- Semantisch - Daniil Dobriy @ Vienna University of Economics and Business: ontology reuse in WD, linking WD to LOD
- salgo60 - learn if someone is looking into Sustainable Development Goals (Q7649586) see test using an API and if that is something for WD
- Akbarali (talk) 17:04, 20 June 2022 (UTC) data extraction and ensure quality.
- Feliciss - Data quality in scholarly articles.
- James Moore200 (talk) 08:27, 27 June 2022 (UTC) tools on data quality.
- Favourdare123 (talk) 08:56, 27 June 2022 (UTC)
- Profayobami (talk) 09:21, 27 June 2022 (UTC)
- Musahfm (talk) 10:03, 27 June 2022 (UTC)
- Sannita - Lexemes and entity schemas!
- Kingaustin07 (talk) 10:51, 27 June 2022 (UTC)
- maiarocg Sources and references in Wikidata, how the community approaches and sees them, and how to ensure their quality!
- Praze02 (talk) 11:31, 27 June 2022 (UTC) user:Praze02 (utc)
- Dnshitobu (talk) 15:31, 27 June 2022 (UTC)
- Krasimir Angelov (talk) - Lexical resources and NLG for Abstract Wikipedia in GF
- Wolfgang8741 (talk) 21:07, 29 June 2022 (UTC) - Workflow transparency and monitoring for data corruption, highlight instance of tools changing statements values cross wiki, but keeping external references that don't match - Unfortunately I am unable to attend on these dates.
- Erfurth (talk) 05:56, 1 July 2022 (UTC) curates with Wikidata:WikiProject Scholia]
- Rima H (WMID) - how to model intangible cultural data in Wikidata Rima H (WMID) (talk) 08:07, 1 July 2022 (UTC)
- Pigsonthewing - when constraints go bad
- PKM (talk) 10:48, 5 July 2022 (UTC)
- Ainali (talk) Will do a livestream on manual quality work. 16:11, 6 July 2022 (UTC)
- Removena - I am interested in federated queries to fill gaps. Currently working on a comparison between Wikidata and Factgrid Removena (talk) 18:31, 6 July 2022 (UTC)
- Rdrg109 - I simply love Wikidata Rdrg109 (talk) 23:27, 6 July 2022 (UTC)
- Lately I am interested about lexicographical data. --KuboF Hromoslav (talk) 18:34, 7 July 2022 (UTC)
- Lucas Werkmeister (WMDE) (talk)
- VIGNERON (talk) 16:01, 8 July 2022 (UTC)
- Ambrosia10 (talk) 16:08, 8 July 2022 (UTC)
- Andrea Westerinen (talk) 16:11, 8 July 2022 (UTC)
- Diego (WMF) (talk) - Currently working on automatic assessing edit and item quality.
- Yupik (talk) 16:24, 8 July 2022 (UTC)
- Jelabra (talk) 18:26, 8 July 2022 (UTC) - Working on tools with Entity schemas and ShEx
- Lydia Pintscher (WMDE) (talk) 17:15, 8 July 2022 (UTC)
- Manuel (WMDE) (talk) 06:49, 9 July 2022 (UTC)
- Inaccuracies, inconsistencies, incompleteness, mismatches with external databases, documentation for all entity types and workflows. Focus on scholarly content. Daniel Mietchen (talk)
- 圍繞著如何「管理龐大的資料庫」,「讓資料庫能發揮最大的效用」,「中央樞紐的管制功能與地區樞紐的配合度」古代遺留的智慧如果沒人學習並且傳承給下一代，它屬於死物。任何人花費時間去學習把這些智慧實踐在日常生活當中，間接的影響了其他人的生活也因此提升品質。卻因為擁有權力的資產階級為了鞏固自身的利益，對於底層階級施加了各式各樣的枷鎖，社會的金字塔結構就一直存在。我的興趣只有接收資訊化為自己的知識，知識是一股沒人可以奪走的無形力量，金字塔結構的枷鎖只有善用知識的人群團結一致才有打破的機會。我想觀察這個理念能不能得到更多的共鳴!J.zht (talk) 15:04, 9 July 2022 (UTC)
- TiagoLubiana (talk) 16:02, 9 July 2022 (UTC)
- Jheald (talk) 16:09, 9 July 2022 (UTC)
- --Harmonia Amanda (talk) 09:51, 10 July 2022 (UTC) (I have been here, just forgot to sign in)
- Fexpr - Lexicographical data and learning more tools to improve data quality on Wikidata. Fexpr (talk) 11:57, 10 July 2022 (UTC)
See also
[edit]- Data Quality Days 2021 (outcomes and notes)
- Our previous "XXX Days" events: 30 Lexic-o-days 2021, Data Reuse Days 2022