 Okay So thanks everyone Would today we're going to be doing an introduction to wiki data My name is Alex Loma the president of Wikimedia Australia I just wanted to begin by acknowledging the Wurundjeri people traditional custodians of the land that I'm on today and if you Introduce yourself in the chat and say what land you're on You can so as I said, we're going to be running this session today to to introduce you all to wiki data Which is one of the very exciting projects of the Wikimedia Foundation? I'll present for about 45 minutes and there'll be a few exercises if you want to take part in those this is one of four modules that have been created by for Wikimedia Australia by Mike Dixon who's in the meeting the others are an introduction to the Wikimedia projects and There's also two sessions on working with Wikipedia And this one is that that Mike has run over the last few days and and we'll be sort of rolling out to others to run I'll be doing this one on on wiki data today There'll be a list of resources and presentation publications at the end for some more information And we'll touch base with you in about a week to see how you Go if you have any more questions, and there'll be hopefully there'll be enough time for some more questions at the end Okay, so let's get started So here's the outline of what we'll be discussing The activities will be will be there so we'll see how we go for time and the resources the main resources a is a handout or a little summary sheet of the wiki data in brief by a American Wikimedia called Andrew Lee that's available on common so you can download at any time But we'll send you the link for that and put it in the chat So first question what is wiki data? So it's an open free multilingual database to support the Wikimedia projects launched in 2012 so it's the 10th anniversary in 2022 Here's an example of the page if you go to wiki data.org you'll see a You'll see yeah a page like this which we have, you know these boxes containing statements and properties and various texts So it looks quite different to a wiki wiki pedia article Because it's more data driven So how did wiki data come about? So going back to the early days when it was just wiki pedia and a couple of other projects You wanted to put put an image. Let's say it's image of pulleroo onto The English wiki pedia would upload it to the English wiki pedia Then we want to put it in the French wiki pedia as well We would also upload that same image to the French wiki pedia. So there's a couple of Problems with this one it involved a lot of effort to to upload that same photo to multiple projects multiple editions of wiki pedia, but it also You know used up more storage space and so on so At some stage they the wiki media foundation came up with the idea of wiki media commons to act as a central image library So someone can upload an image that can apply Captions in their language and so on but that single upload of that image can be called upon by any of the language wiki pedia English French any other language But then that really there was a similar problem with data. So info boxes are very common on on wiki pedia And they have sort of a basic summary of information about whatever the article is about But they are updated manually in every language and depends on how many editors and Resources they've got and what information they've got So there could be different levels of detail in each of these languages And they had to be manually updated like uploading an image to each language edition so that What about the invention of wiki data, which is a central data repository? So in the same way that commons can store one copy of an image and that can be used by All the dozens of language editions of wiki pedia wiki data was created as a repository for central data repository for all language editions to draw on Some of them choose not to do that. Some of them still like to update For boxes manually they like the control that gives them but but the data is there in wiki data in case wiki media projects or other systems as we'll go into later Want to draw on the that's repository. So wiki data is part of all the the web of linked open data As you can see here This is an example of an entity the national portrait gallery in the United States and all the the items that Link to that To that, you know that item so, you know, you can see there's various properties It's the location is in the old pattern office building its headquarters is in Washington, DC It's an instance of an art museum This this data is all public domain. It's all freely searchable it can be queried it can be downloaded as a dumps of data like files of X and O files of of data so people can download it and manipulate it and in their own however they want to and it's also each Item has a unique permanent identifier and is linked to other identifiers and other Entities of data. This is a really good diagram to show how wiki data is different from a normal relational database a lot of Databases and data sources. You'll be familiar with it in a spreadsheet format You know rows and columns of information and fields and records This is this is an interesting way diagram because it shows how the data in wiki data is linked Is you know items linked to other items and properties and someone through through these triples, which I'll explain in a minute So an important part of wiki data is the QID, which is a the the system. This is the persistent permanent identifier that is used To edit to I sort of identify every item in wiki data and see it starts with Q It's a weird story about why the letter Q was used because it doesn't seem to respond to anything You know doesn't mean item or record or anything. It's a It's actually was apparently the first name of those girlfriend of the developer or something Nothing strange like that. So anyway, so which of these are actually I Think that Mount Kosiosko one might be No, the Australian one is wrong. I think I think Mount Kosiosko one is right because they should be different because they're They should be unique identifiers Anyway, so yes, they they unique so each item will have a different number This is important because actually a lot of in a lot of databases You'll find different records and it will be the same the same item will be duplicated And that can happen in wiki data too, but it shouldn't be that those items should be, you know One item one entity should be represented by a single item in this system So you can see Q5 that would be one of the really early ones. That's only one digit We're up to I think nearly nine digits now. So, you know hundred and ten million around that area But yeah, yeah, so each item in wiki data has QID, which is the letter Q followed by a series of numbers. I Mentioned triples before this is how they these items are linked By our properties properties. So I mentioned the items start with a letter Q properties start with the letter P There's also another third letter, which is S for sources or references But here's some examples of some triples. So Perth, that's the Perth in Western Australia is the capital has the property capital of and the state of Western Australia Perth that same item Inception that's when it was created or founded And there's the property piece 571 in the year 1829 so that's a value. That's an actual numerical value not a link to another item and Perth was named after Perth Which seems obvious. I'm assuming that's the Perth in Scotland. So But yeah, you can see That's that's another thing that this shows that that items can have the same name But the different numbers because they are different entities But it's quite different from Wikipedia because in Wikipedia you'll see something can't have the same name as another article So you'll have a disambiguator like Perth Australia and Perth Scotland, I think I think the Perth Australia the Perth all Perth Western Australia That's one of the differences here in Wikipedia in wiki data They can have the same label or the same name, but they'll have different numbers and the description needs to be different as well So here's the descriptions. I just mentioned. So as I said, Perth 383 183 is Has the description in English of capital city of Western Australia Australia There's all in gray there. There are some aliases. So these are Alternative labels, these are really useful for searching because of course things can have different names or you know old names that the change different variant spellings So yeah, that that really aids in the search in being able to search wiki data and finding the item you're looking for So here we've got Perth capital city of Western Australia And it's got the aliases in case someone talks in looking for those searches Perth Commonwealth Australia Perth Australia Perth WA Perth Oz The Perth that I mentioned before that it was named after is the city in Scotland And so that has the the description city in Perth and Kinross Scotland UK And it has the aliases Perth comma Scotland and their city So they're the English labels Descriptions and aliases but the thing about wiki data is that it is very multi-lingual and Can supports all the languages in coming the number, but was that one of the ISO standards? Which has has a list of many many languages And that can be yet that can be used any of those languages can be used for for these labels and descriptions So here's some other examples of other languages For the same item the same entity of Perth the city in Western Australia And it's label the name in various languages and the description in those languages as well But once again that that all six states to the same item that that one item the city of Perth is represented by its Q3 183 But it has labels in multiple languages this can have some amazing applications for for Generating maps in you know maps of geographical locations, but with the labels in whatever language you want to produce the map in And for searching If you don't speak, you know, English necessarily, you know, you can search and all those other language We found to get to this item that you want to get to so this is some of the the screenshots from the From the web interface of wikidata And this is what I mentioned before that so there's The these are the things that link those triples that link this item to other items and give more information about it This is this is one about a person And this list they're given names Clive Vivian Leopold You can see also that there's some there's series ordinal qualifier, so this is the third type of Descriptor here, but a qualifier is something that that gives a little bit more information about a property and how that property applies To the item or the entity so there's a series ordinal This is the order of this person's names Clive Vivian Leopold in that order There's also a start time 1947 so I'm guessing that means that This person oh this person is Clive James I'm sorry I didn't see the it was covered up by the the attendees, but yeah, that's the person is Clive James the Australian media commentator and television presenter and Yes, so I think his name was Vivian, but he started calling himself Clive From 1947 onwards, so so just goes to show you know, that's You can use to qualify as to to give a bit more information a bit more detail a bit more nuance to These properties rather than just saying this is this is the fact and you know It has always been the fact some sometimes that will be the case But sometimes you might need to to qualify them using these So Clive James again, he's got an academic degree Bachelor of Arts with Honours Conferred by the University of Sydney in 1961 and he majored in English. There's a reference there too For coming later and here's a lot of the identifiers. There's a lot more that term. These are some of the key ones In various sources with a lot of national libraries such as National Library of Australia Trove National Library of Israel New York Review of Books as an author Clive James would have a lot of a lot of identifiers in in libraries and literary sources So here's the the identifier the Los Angeles review of books That's the that's his record page on there And the link to the the National Portrait Gallery in London and as you can see if you click on those Identifiers the external identifiers in wiki data It will take you to those pages Directly to the page about Clive James portraits in the National Portrait Gallery and his profile in the Los Angeles review of books. I mentioned there There were some references. There's a little reference section at the bottom in each property As he said as I said, we noticed noticed his given name He was born with the name Vivian but started calling himself Clive from 1947 and he is a reference for that fact that he that he started in particularly an interview or a profile with him It's just the URL so but it looks like it's in the Sydney Morning Herald newspaper And that's it. So that's the that's the reference for that fact. So just like in Wikipedia referencing is very important to To get to show that that a fact is true or verifiable allowing others to check and see that that is the case And it's a should be included that yeah, it's the same with wiki data that that if there's a fact especially a contentious one or a weird one as to why why that holifier is in there that you wouldn't include the reference And there's a reference for his date of birth to which is the snack, which is a Catalog Okay, so that's the quick activity Go into wiki data dot org WWWiki data dot org If you have an account You can log in or if you're already logged into Wikipedia if you've got an account on Wikipedia or should use the same one search for an Australian city Or a kind of vegetable or a glam institution And find the QID so as I mentioned we should see that the top it should be in the web address and it should also be on the top of the page So what is the QID? How many statements are there? So you might have to might be take quite a bit of time to count them that because some of them will have quite a lot But for items in this this field Have a look at how many of them are referenced Now just saying there how many of them are referenced Clearly wiki data and Wikipedia are linked and you'll see a lot of time that looks like there's a reference and when you look at it It says it's imported from Wikimedia project English Wikipedia or French Wikipedia and so on so Generally not counting those we're looking for external references here that But yeah, Wikipedia can be used as a reference for wiki data items Usually because the Wikipedia article will actually have more deeper links to references But but it's probably better to put if you're adding references or creating items or editing items in wiki data to Use an external one if you can and if you want to yeah, if you've found one You can copy and paste the the name and the QID into the chat And the number of statements and references There's not too many of those But as you can see the the the leak the vegetable the leak Yeah, that's it. It's Q number. It's got 25 statements, but only three references So, you know, maybe that's you know, some of those things are self-evident But yeah, that's probably an item where you can you can improve and find some more references other maybe it's sort of broad enough that it's I Think a lot of people just you know assumes, you know what a leak is and what it's for Okay so You know when we're looking at those properties, there's a key item that should be in every Every item on wiki data. It's not always on the in there And it is something that you could you could certainly add on it can be a bit hard to do it involves a lot of some Sometimes it can involve sometimes it's obvious But sometimes it can involve sort of sort of quite complicated ontology of what something is and that's not to Not immediately self-evident you can put more than one So if it's it's hard to decide what an item is then you can put sort of multiple ones if they all apply So we've got some examples. We've got the big marino here Big marino Is an instance of a big thing so that's a that particular Australian phenomenon of doing creating large sculptures or buildings so representing some Something says this is a big big shape But it's also an instance of a sculpture So big thing as I said, that's a subclass of something so You can have there are two two main types of of what something can be an instance of Something or a subclass of something so something that exists in the physical sense. That is one thing like this The big marino that's an instance of something But a big thing there can be multiple things which are Instances of big things and they are subclasses of something so that means that's you're giving a broader category of What a big thing is and in this case, it's a subclass of a roadside attraction The other instance of sculpture is a subclass of a visual artwork And there's probably other any other items you could include as what these Are some classes of But having at least one is important What that means is that a you've got a description of what every item in wiki data is whether it's an actual physical entity or concept and and often that concept can be a Subclass of something which gives you a very detailed ontology can build on almost a tree of Of you know different types of artwork, you know visual artworks, and then and then you know that branches out into paintings sculptures Collages etc and you can build these amazing trees of of linked data Like that using these But you can also filter, you know, you can query wiki data and you can filter and and build them lists of things by by what they're their examples of So I just back to that can something be an instance of and a subclass of something It can be and you see a few cases of those it generally shouldn't be and it's pretty rare, but in some cases the concept is so Difficult to split them that there are some I guess some concepts that can be a subclass of something that also an instance of some That's well, but but generally you'll only have one of these or the other and something that something is an instance of will be a subclass of something else So creating a new wiki data item. There's an item to create new on the menu at the side and that allows you to create it You can choose a language here, but this is just a language for the label in the description as I said You're not creating an English Item like you would creating an English Wikipedia article. You're actually creating a an item That represents that object or entity in any language But but here you're choosing to create the item There's a lot of little robots little programs and bots that will go in and translate things that you put in so you might put in a Label and a description in English and there's a little bottle come in and translate it into Dutch and so on so You can you can just put it in the languages that you're comfortable with and that you know that this thing is called and the descriptions Whatever languages you're comfortable with and and a lot of other users and bots will come in and and fix it up But you choose the language that you that you know in this case we're doing English We're creating a roadside attraction called the big I mean a big thing called the big truck we give it the description roadside attraction in Mumbai, Australia and And you put some aliases in if you think it's known by different names and then click the create button And that's it. It creates a new queue number Which will be distinct from the other ones. It will apply these Label description and aliases to the English versions of those and I said some bots will come in later and add other translations So the next activity go to the list of big things in Australia. I'll post the link in the chat Okay, I think that's the that's the link to a query, which will bring up There's this runs a query in the language sparkle, which I'll go through later and it will produce a list of big things so if you want to You can paste that if you choose one You can paste it in the chat Have a look at what properties it might be missing and some of the key ones are on the right there location location Would generally be a suburb or a town that that Thing is located in Made from like it might be made from plaster or paper mache or concrete Depicts but it depicts. So, you know, it could be a frog or a sheep or a Any any number of things What is the sculpture of and inception when it was created? If you know the the artist or the builder you can do that. So I've got the big watermelon Okay, and yeah, if you see any of those properties missing and you know what the what the Solution is or the the ant, you know, that's what that gap might be You can click on add statement, which is at the bottom of the the boxes which contain the statements Type start type of the name of the property. So you type location made from depicts and so on and then type in a value so If you're linking it to something else like a location you want to link you'll link to another wiki data, right? Which is that's other or the Okay, so Amanda's noticed that there are She's chosen Mary Creek in Northgate and but it has two listings That's that's something that is quite common. I'll take you through that I was talking before about how a wiki data item can can have should be, you know, one thing representing that one entity there have been some I guess bulk imports into wiki data from sort of from sources like geo names and so on and a lot of geographic entities rivers and localities might have duplicates because because there are two versions of the same thing in in geo names and then someone's Trans I imported them into one of the wikipedia's and then that wikipedia is that they've been Transported into wiki data as well. So they're all gradually being merged by Other users who are identifying and checking that they're the same thing But there's yeah, that's one of the I'll cover that later that that's about merging items Yeah, that's a Amanda says they both seem to be imported from a wiki media project And it's probably one of the wikipedia's that has done this some big important Anyway, so if you're comfortable with that Don't have to do it if you're not you're worried about it But yeah, that yeah type in the value whether it's a another wiki data item As she said Amanda said Mary Creek or and you can find the one that you that you want to put in there Or if it's something like a year that could be a value Number or a or an or a name in a particular language. I mean you can put those in as well and It will generally suggest a value sometimes with the year it will it will check the date format Sometimes if you're putting a number in like like an elevation Elevation above sea level it might you will have to put in a unit as well. So you might say 460 and will ask you to put in a unit you choose meters or feet or whatever the the unit of the value you're putting in When you're comfortable with that click publish and that will save it. So it's like a wikipedia article edit if you make your Yeah, if you're logged in it will put down your username that's making that edit if you're not logged in It will put the IP address that you that you made that edit from Okay, and the next activity is finding a reference So you can Google your big thing to find a website or a news story that talks about it If you find one of those statements that doesn't have a reference click will say zero references You can click on the little plus button to add a reference and then to start typing the property reference URL And it will fill in the property number of that and then paste the URL of your news story or your referencing It's also a good idea if you can put in as much information as you can there's a lot of fields you can put in in references Generally the URL is is fine. It's good idea to put the retrieved date in it that tells you what the That tells whoever's looking it up later or verifying it that that was the date it was you know The information at that time was was accurate at that time. So You know, it's a good idea to put that and you can put other things like you know stated in Sydney morning Anyway, so if you're happy with those they can pick publish and You've saved a reference and you've referenced a wikidata item I'm not just using Wikipedia and as I said, there's there's a lot of work to do in in filling a lot of these references I guess wikidata was a bit behind wikipedia in terms of the drive to referencing that that sort of that's some You know, it's really catching up And the people are sort of filling in a lot of those references particularly for content statements Okay What I mentioned before about info boxes getting information wikidata. There's some of them that will have a Will have a rule in there in their programming that when you that they'll only show in the info box statements that have references or external references, so so that's that's one of the reasons why referencing is a really good idea and a Good thing to work on because it just means that information Can be verified and can will appear in more info boxes those that use wikidata Okay, now I'm going to take you through some of these tools It's a I what I what I my hope with wikidata is that you sort of see some of the potential and how it can can You know Be used for for some of your own ideas or projects mix and match is a A lot of people ask how can they they help happen they contribute to wikidata There's a lot of these amazing tools that allow you to to make a you know make a huge contribution Mix and match is one of these tools and a lot of the tools have written by the same guy and make this man's who Has you know, not these incredible tools that make Improving wikidata and the working unit and you know querying it so much easier So mix and match is a tool that lets you Compare an external database another database. It could be a library's catalog. It could be a You know what publishes catalog in this case Princeton University Press Authors so these are authors who have they had had works published by Princeton University And yeah, so they'll have a identifier in that catalogue or in that database and What mix and match does is it says I've got a Wikipedia. No, sorry a wikidata item about or a Wikipedia article About this saying the person with the same name or a city with the same name or whatever the data data is about In this case, it's authors and it's matched these these authors that that are in the PUP database to wiki to authors They're on wikidata and you and what this does is it adds a human touch. It's not just a robot I mean there's a robot. There's a program going in and doing the matching the initial matching or suggesting matching But it's relying on the human touch a human You know, just the ability of the human mind to look to you know to look at that and go Yes, that's the same person or this person died 20 years before that person was born. So they're obviously not the same person So so it just gives this it's sort of combining the the best of automation with with the best of that The ability of the human brain to sort of make these to check these matches So so here's these are ones that this taught has suggested could be matched to the PUP data data and If they are the same person Overdid a chair. Yeah, you click on confirm if it's clearly not the same person You can click on remove and that will that will unmatch it and then we'll throw it back into a Pool for people to to do more sort of manual checking and matching Open Refine is another Amazing tool. It's a it's a free download. It used to be developed by Google, but they've made it open source So completely free free to use very powerful tool for and this is an important thing about if you if you ever getting into doing You do want to sort of do bulk imports or you have a data set or or you've curated some data or information that you that you want to do both open refine and Mix and match are really good for what's called What's called Yeah, you we want to make sure that you're not when you're importing information that you're not importing duplicates I mentioned before about do you know all those imports into wiki data creating duplicate our duplicate Mary creaks for example? Reconciliation that was the word I was looking for so Yeah, you want to make sure that you want to reconcile what's in your database to what's already in wiki data So mix and match helps you do that if like links what's in this start in a particular data set to what's already in there and and codifies that link by adding the identifier in the the new data set to wiki data And this also does the same it does a similar thing to mix and match it or look at the name It can look at the names And and just check if something's already in wiki data. So you're not creating an item, which is essentially about the same thing And it's very powerful. Yeah, it's got very powerful tools for using regular expressions to filter and search and Manipulate text to link to other things. This is this is the reconciliation engine in open refine And as you can see it's it's matched in various languages all these all these items to in in this editions database to to additions in wiki data And you can also use them again, but you can basically set up a spreadsheet in Google's Google sheets or Excel and imported into this and it's yeah, it's that sort of it's superpowers to your spreadsheets Okay, so querying wiki data, so we're putting all this data in or you know getting it from wikipedia or putting it in manually or importing it Through a tool, which I won't go into but there's ways to do sort of bulk imports, but it's a very complicated process But it's like why would we want to yeah, but the key is we want to query wiki data now You can query wiki data using a language called sparkle, which I think is a delightful name But if you know SQL, which is the the usual language used for querying for querying databases or SQL Sparkle is kind of similar, but you kind of have to Think in a different way like spark SQL and spark SQL works for very well for you know relational databases But spark was quite different you have to think about it in terms of Of terms of that sort of link data the triples and you know chains of triples and so on so it's very powerful But it can be a bit complicated. A lot of the words are the same You know such a lot of the terms such as select and so on are quite similar Um, I think the best way so you can see there at the wiki data query service It's query dot wiki data dot org There's a little button there examples that is really helpful. That's how I learned all all my sparkle Which is to click on that and there's some examples of amazing queries that people have done doing all sorts of things from Generating maps and so on so you can copy those and and you know Change the queue numbers in the queries to to sort of build your own queries from that but As I said, that's that's a there's a big learning curve to that But there's also a query builder, which is a visual form and Yeah, this has been improved recently Quite amazingly. So it's um, yeah can can allow you to To do very powerful queries. It will generate the sparkle for you So you don't need to learn this this whole language and just fill in these forms and there's also another tool called Pet scan, which is very powerful would allow you to a query wiki data But also all almost all wiki media projects such as wikipedia as well and you can do things like You can do this in quite a wiki data query or In pet scan, but you can you can sort of do things like show me all women engineers Without wikipedia article and you know, we sort of in wikmedia, australia We will use sort of queries like that to just sort of you know do lists of potential Article creations for editathons and things like that. So Yeah, it's it's it's so flexible very powerful quite complicated But you know like yeah, if I'm just hoping that's Add that spark and you can you can see some some potential for it There's a lot of people willing to help you whether it's in, you know wikmedia australia or around the world or the wiki data communities as facebook pages mailing lists The talk pages There's a there's a whole Page on wiki data to to allow you to Yeah, we can ask questions. You know, I want to do a query that does this and and these you know Sparkle experts will help you out And here's some of those the the amazing projects that use wiki data golden age of illustration adding fairy tale books from that collection to wiki data one of the Great things about wiki data is it's gone so much further beyond wikipedia the notability Bar for notability is is a bit lower. So, you know, there's you can put sort of things like every edition of of a you know written work or And things like that sort of where where, you know, you wouldn't necessarily do that or every song on an album You could put that in wiki data that you wouldn't necessarily, you know That wouldn't necessarily reach the notability bar in wikipedia And there's all these amazing tools for visualization and and presentation of the data Not just you can of course run a query which produces like the one with the big things That'll produce like a spreadsheet or you know, a normal sort of query result table But there's also tools which can produce timelines bubble charts maps all sorts of Amazing visualizations other than just presenting a table of data the sum of all paintings which is a Working with, you know various art galleries and museums to document all the the papers they help I mean all the paintings they and artworks they hold in their collections And that can be you know, they can produce these amazing catalogs And you know, you know what paintings depict something that's that's one of those really powerful properties that you know that You won't find in a lot of some a lot of other sort of data sets, but you know, you can show me show me pictures of you know the Virgin Mary or you know paintings depicting A pug And the useful tools so I mentioned that some of the tools before mix and match and so on but Yeah, um author disambiguator What one thing you'll see that if you're What are you'd like to do is go into wiki data and click random random item and it just chooses a random Item and and I do things like like I was talking about before See if there's references see if there's an instance of or subclass statement and so on in the see if there's statements missing And I try and fill those in What you'll see when if you do that like look at random items, you'll see that there's a huge number of items about scientific articles journal articles And that's sort of part of you know, there was a big project to do that called wiki site and and so on Which which built up this enormous corpus of of academic journals and and and articles Author disambiguator you'll see a lot of them have just have the name of this the author in it's a string So like it's just a block of text You know say author alex lumb What author disambiguator does is it scans through all these and tries to match them to the actual item about that person That just means that you can use the bottom tool They're scolier which to produce a profile and a tree of co-authors And also so it's very powerful tool for a sort of academic institutions and and glam organizations To see you know where they're their staff and they You know and what sort of papers they're writing and what areas they're writing about so on And duplicate references That that enables there's a lot of tools like I said if you're into adding references you can you can copy references from other from other statements You know often, you know say an article in the Australian Dictionary of biography. You might want to copy that item from You know the same reference to for the date of birth the place of birth the spouse and so on so It just speeds up All of these tools you can just install them in your profile and then add the Yeah, use them these tools to make your editing and A lot easier and fill out a lot of this information And the last thing there is that is the link to Andrew. I'll post the link is sorry Andrew Lee's wiki data handout wiki data in brief so that would cover a lot of the concepts of Taking you through today. You see a lot of those terms that I've mentioned But it's yeah, it's a really really useful sort of one. You know, I think it's just a one or two page handout you can you know if you're Handed out to the Have a look at that yourself or handed out to those interested in data If you know that you friends or colleagues Feel free. It's a really useful. I've got a lot of links to to to some more information about They're interested in Okay. Thank you very much for attending. I hope that's been useful for you. I hope like I said, I hope it's sparked some you know Idea of of something that could be useful or something you could you could help with I think the key of what I like to say is that wiki data needs needs curators people who are interested in a particular area like margaret's very interested in in biota and particular Plants and and it's done, you know tons of brilliant work on the on sort of filling in you know tax on authors and And identifiers in in databases But yes, there's anything in your area of interest or expertise that you you feel like come. Yeah Yes, let us know Oh Yeah Thanks to mike for doing the slides and the the notes. It's been really helpful and Thank you all for attending