![\"Creative](\"https://i.creativecommons.org/l/by/4.0/88x31.png\")
The contents of this website, unless otherwise stated, are licensed under a Creative Commons Attribution 4.0 International License.Connect to our community on:\r\nforum.opendata.ch\r\n| twitter\r\n| facebook\r\n
\r\n\r\nThe contents of this website, unless otherwise stated, are licensed under a Creative Commons Attribution 4.0 International License.
![](\"https://commons.wikimedia.org/wiki/File:Part_of_Tabula_Peutingeriana.jpg\")
![](\"https://commons.wikimedia.org/wiki/File:TabulaPeutingeriana.jpg\")
\r\nTabula Peutingeriana, 1-4th century CE. Facsimile edition by Konrad Miller, 1887/1888
\r\n\r\nToday, HTML and its geolocation API provide a lightweight, yet powerful tool to precisely locate any device all over the world. Modern maps, open data DEMs (digital elevation models) and Extended Reality frameworks can be combined in order to create virtual worlds (see last year's Swiss Open Cultural Data Hackathon project swissAR) and geographical information systems.\r\n\r\nhelvetiX aims at providing an immersive Virtual Reality guide for any Roman merchant or legionary when travelling to ancient Helvetia. (In Latin, of course.)\r\n\r\n![](\"https://www.thomasweibel.ch/helvetix/img/helvetix.png\")
\r\nPratobornum (Zermatt), 1047 double steps away: Screenshot from the helvetiX prototype.
\r\n\r\n![](\"https://www.thomasweibel.ch/helvetix/qr.png\")
\r\n![](\"https://www.thomasweibel.ch/helvetix/img/info.png\")
Instructions![](\"https://www.thomasweibel.ch/helvetix/img/mail.png\")
Contact author![](\"https://www.thomasweibel.ch/helvetix/img/arrowdot.png\")
Back to current position![](\"https://www.thomasweibel.ch/helvetix/img/arrows.png\")
1000 double steps up/down![](\"https://www.thomasweibel.ch/helvetix/img/arrow.png\"){kind=icon}
1000 double steps forward![](\"https://www.thomasweibel.ch/helvetix/img/map.jpg\")
3D model of Switzerland, on a 1:1 scale, based on a 200 meter grid, in glb format. (Source: Swiss Federal Office of Topography swisstopo)
\r\n\r\nif (navigator.geolocation) { // ask for user permission to retrieve user location
\r\n navigator.geolocation.getCurrentPosition(function(position) { // callback function success, set coords to user location
\r\n var b1=position.coords.latitude∗3600; // calculate swiss coords
\r\n var l1=position.coords.longitude∗3600;
\r\n var b2=(b1-169028.66)/10000;
\r\n var l2=(l1-26782.5)/10000;
\r\n var n=200147.07+308807.95∗b2+3745.25∗Math.pow(l2,2)+76.63∗Math.pow(b2,2)+119.79∗Math.pow(b2,3)-194.56∗Math.pow(l2,2)∗b2;
\r\n n+=1000000; // omit if using LV03 format
\r\n var e=600072.37+211455.93∗l2-10938.51∗l2∗b2-0.36∗l2∗Math.pow(b2,2)-44.54∗Math.pow(l2,3);
\r\n e+=2000000; // omit if using LV03 format
\r\n }, function () { // callback function error
\r\n ...
\r\n });
\r\n}Math.round(num)>0, as there is no zero in the ancient Roman numeral system) can be converted to Roman numerals byfunction romanize(num) {
\r\n if (isNaN(num/1.48176))
\r\n return NaN;
\r\n var digits=String(+num).split(\"\"),
\r\n key=[\"\",\"C\",\"CC\",\"CCC\",\"CD\",\"D\",\"DC\",\"DCC\",\"DCCC\",\"CM\",
\r\n \"\",\"X\",\"XX\",\"XXX\",\"XL\",\"L\",\"LX\",\"LXX\",\"LXXX\",\"XC\",
\r\n \"\",\"I\",\"II\",\"III\",\"IV\",\"V\",\"VI\",\"VII\",\"VIII\",\"IX\"],
\r\n roman=\"\",
\r\n i=3;
\r\n while (i--) roman=(key[+digits.pop()+(i*10)] || \"\")+roman;
\r\n numeral=Array(+digits.join(\"\")+1).join(\"M\")+roman;
\r\n}\r\n---\r\n Project Documentation (work in progress): \r\n\r\nFriday, 16.4.2021 //
\r\n11:00h: Group forming.
\r\nTeam members:
\r\nSaro Pepe Fischer
\r\nElias Kreyenbuehl
\r\nJan Sandberg
\r\nMichel Piguet
\r\nKenny Floria
\r\n\r\n13:00h: First tests with implementing the historical Pics of Ruef-Hirt in maps and 3D applications:
\r\n\r\n\r\n
\r\n\r\n
\r\n\r\n
\r\n15:00h: Decision to narrow the project down to the city's quarter \"Aussersihl Inustrie\" and especially the \"Langstrasse\".\r\n
\r\n15:45h: A first milestone, this newly generated map with the historical pictures:
\r\nhttp://glamhack21.kennyfloria.ch/
\r\nCode to the map-/picture-application:
\r\nhttps://github.com/PaulKC/glamhack2021-a-walk-trough-zurich-around-1910
\r\n16:30h: Remodelling pictures for integration in a 3D-view:
\r\n\r\n
\r\n
\r\n\r\n
\r\n\r\n
\r\n22:30h: Implementing the 1913 city map as a new background:
\r\n\r\n\r\n\r\n\r\n
\r\n
\r\nSaturday, 17.4.2021 //
\r\n09:30h: Presentation of the implementing of the 3D-model of the City of Zurich (real Buildings) for the filmic walk through \"Langstrasse 1906\":
\r\n\r\n
\r\n
\r\n\r\n
\r\n
\r\n13:30h-15:00h: Fighting the video programmes and trying to render, edit and export the files. We are getting there...
\r\n15:30h: Putting all the pieces together for the short 90 second movie.
\r\n16:30h: Link to the video: https://drive.google.com/file/d/1l6BIubsoJQMlxY1kj_V3a7uMkOP2LlGh/view","maintainer":"SaroPepe","name":"A walk trough Zurich around 1910","phase":"Challenge","progress":0,"score":92,"source_url":"https://github.com/PaulKC/glamhack2021-a-walk-trough-zurich-around-1910","stats":{"commits":0,"during":43,"people":1,"sizepitch":5186,"sizetotal":5297,"total":65,"updates":63},"summary":"Following the paths of Friedrich Ruef-Hirt discovering his fascinating photographs taken between 1905 and 1910.","team":"SaroPepe","team_count":1,"updated_at":"2021-04-17T15:52","url":"https://hack.glam.opendata.ch/project/23","webpage_url":"http://glamhack21.kennyfloria.ch"},{"autotext":"GLAMhack 2021 - Culture inTime \n=========================\n\nGLAMhack 2021 provided the opportunity to continue working on Culture inTime, a sandbox for adding and visualizing Performing Arts Production metadata in a simple calendar-like user interface. Culture inTime was first developed during GLAMhack 2020. A few features have been added: \n* Anyone with the right skills can now add their own SPARQL queries of existing linked open data (LOD) sources\n* Anyone can now configure their own Spotlights based on data sources in Culture inTime\n\nCulture inTime continues to put its focus on Performing Arts Productions. Go to https://culture-intime-2.herokuapp.com/ to try it out!\n\nTypes of Users\n=========================\n* Power User: Can create SPARQL queries and Spotlights on data.\n* Spotlight Editor: Creates Spotlights on data. \n* Browser: Uses Search functionality and pre-configured Spotlights to peruse data. \n\nData Sources\n=========================\nIn the section called Data Sources, power users can add their own SPARQL queries of existing linked open data (LOD) sources to Culture inTime. The only prerequisties are:\n* Technical expertise in creating SPARQL queries\n* Knowledge of the graph you want to query\n* Login credentials (open to all) \n\nTwo types of SPARQL queries can be added to Culture inTime\n* Queries to add names of Performing Arts Productions. These queries are limited to the performing arts production title and basic premiere information.\n* Queries to add supplementary data that augments specific productions. Supplementary data can be things like event dates, performers, related reviews and juxtaposed data (examples are indigenous territorial mappings, cultural funding statistics). Supplementary queries are loaded on the fly and always attached to one or more Performing Arts Production queries.\nTo learn more about how to add queries, see the Technical Guide.\n\nDifferent contributors are continuously adding and building on data sources. To see what's been added, go to https://culture-intime-2.herokuapp.com/data_sources.\n\n\nSpotlights\n=========================\nSpotlights group together productions around a theme. They can span time, locations and data sources. Once you create a login, creating spotlights is easy with a new form that allows Spotlight Editors to choose their parameters and then share their spotlight with the community. Basic editorial functionality is available. To see some Spotlights, go to https://culture-intime-2.herokuapp.com/spotlights.\n\n\n\nTechnical Guide\n========================\nTo add Spolights or a new data source using SPARQL, please consult this [Google Doc](https://docs.google.com/document/d/1ht17HeUmt-TXJIk139XP4usTn1AV5boWFoSmFw53q-w/edit?usp=sharing) \n\nGLAMHACK 2020\n=========================\nThis 2020 GlamHack Challenge resulted from the discussions we had earlier this week during the workshops related to performing arts data and our goal is to create a Linked Open Data Ecosystem for the Performing Arts.\n\nSome of us have been working on this for years, focusing mostly on data cleansing and data publication.\nNow, the time has come to shift our focus towards creating concrete applications that consume data from different sources.\nThis will allow us to demonstrate the power of linked data and to start providing value to users.\nAt the same time, it will allow us to tackle issues related to data modelling and data federation based on concrete use cases.\n\n\u201cCulture InTime\u201d is one such application. It is a kind of universal cultural calendar, which allows us to put the Spotlight on areas and timespans where coherent sets of data have already been published as linked data. At the same time, the app fetches data from living data sources on the fly. And as more performing arts data is being added to these data sources, they will automatically show up.\nIt can:\n- Provide a robust listing of arts and cultural events, both historical and current. Audiences are able to search for things they are interested in, learn more about performing arts productions and events, find new interests, et cetera.\n- Reduce duplication of work in area of data entry\n\nThe code is a simple as possible to demonstrate the potential of using LOD (structured data) to create a calendar for arts and cultural events that is generated from data in Wikidata and the [Artsdata.ca](http://artsdata.ca) knowledge graph. \n\nThe user interface is designed to allow visitors to search for events. They can:\n- Use the Spotlight feature to quickly view events grouped by theme.\n- Use Time Period buttons to search a time period.\n- Use a Search field to enter a search using the following criteria: name of production, theatre, city, or country.\n- Visit the source of the data to learn more (in the example of an Artsdata.ca event, Click Visit Event Webpage to be redirected to the Arts Organization website.\n\nNote: Currently when you enter a location, data only exists for Switzerland and Canada (country), Zurich, Montreal/Laval/Toronto/Vancouver/Fredericton and some small villages in Quebec. \n\nSearch results list events sorted by date.\n\n\nChallenges\n=========================\nData is modelled differently in Wikidata, Artsdata, and even between projects within the same database.\nData has very few images.\n\nMore UI Images\n=========================\nSpotlight Page\n\n\n\nEvent Details page - Montreal\n\n\n\nProduction Details page - Zurich\n\n\n","autotext_url":"https://github.com/culturecreates/Culture-inTime","category_id":"","category_name":"","contact_url":"https://github.com/culturecreates/Culture-inTime/issues","created_at":"2021-04-09T15:39","download_url":"","event_name":"GLAMhack 2021","event_url":"https://hack.glam.opendata.ch/event/2","excerpt":"GLAMhack 2021 - Culture inTime \n=========================\n\nGLAMhack 2021 provided the opportunity to continue working on Culture inTime, a sandbox for adding and visualizing Performing Arts Production metadata in a simple calendar-like user interface. Culture inTime was first developed during GLAMhack 2020. A few features have been added: \n* Anyone with the right skills can now add their own SPARQL queries of existing linked open data (LOD) sources\n* Anyone can now configure their own Spotlights...","hashtag":"","id":73,"ident":null,"image_url":"https://avatars.githubusercontent.com/u/419491?v=4","is_challenge":false,"is_webembed":false,"logo_color":"","logo_icon":"","longtext":"","maintainer":"saumier","name":"Culture In-Time 2","phase":"Share","progress":50,"score":91,"source_url":"https://github.com/culturecreates/Culture-inTime","stats":{"commits":0,"during":0,"people":5,"sizepitch":0,"sizetotal":5990,"total":14,"updates":8},"summary":"Simple event calendar for public viewing of performing arts productions past and future.","team":"saumier, Iconoclaste, Caitlin, kim, beatestermann","team_count":5,"updated_at":"2021-04-20T16:40","url":"https://hack.glam.opendata.ch/project/73","webpage_url":"https://culture-intime.herokuapp.com"},{"autotext":"","autotext_url":"","category_id":"","category_name":"","contact_url":"https://github.com/parisdata/2021GLAMHACK/issues","created_at":"2021-04-16T05:18","download_url":"","event_name":"GLAMhack 2021","event_url":"https://hack.glam.opendata.ch/event/2","excerpt":"The goal is to create an easy-to-use online tool that analyses provenance texts for key indicators: UNCERTAINTY, UNRELIABILITY, ANONYMITY and RED FLAG.\r\n\r\nThe user uploads the file to analyse, and the tool enhances the file with quantitative information about the provenance texts.\r\n\r\nTry it out! https://artdata.pythonanywhere.com\r\n\r\n\r\n","hashtag":"","id":112,"ident":null,"image_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/glamhack/5R3LPDDPWH288EAUQHD82AIG.png","is_challenge":false,"is_webembed":true,"logo_color":"","logo_icon":"","longtext":"The goal is to create an easy-to-use online tool that analyses provenance texts for key indicators: UNCERTAINTY, UNRELIABILITY, ANONYMITY and RED FLAG.\r\n\r\nThe user uploads the file to analyse, and the tool enhances the file with quantitative information about the provenance texts.\r\n\r\nTry it out! https://artdata.pythonanywhere.com\r\n\r\n\r\n","maintainer":"LaZu","name":"Deploy Looted-Art Detector","phase":"Share","progress":50,"score":91,"source_url":"https://github.com/parisdata/2021GLAMHACK","stats":{"commits":0,"during":21,"people":2,"sizepitch":454,"sizetotal":548,"total":24,"updates":21},"summary":"Make it easy for anyone to use the Looted-art Detector we created at last year's Glamhack2020. ","team":"LaZu, rae_knowler","team_count":2,"updated_at":"2021-04-17T14:36","url":"https://hack.glam.opendata.ch/project/112","webpage_url":"https://artdata.pythonanywhere.com"},{"autotext":"# Nachtschicht21 (GLAMHACK2021) \n- Interactive Virtual Reality 3d Exhibition \n\n## Goal\n\nExplore and discover the possibilities of A frame has to offer for a VR immersive experience.\n\n## Project Description \nThe initial concept was to transform the content from the website [Nachtsicht21](https://www.nachtschicht21.ch/) into a more immersive experience with the use of Virtual reality visualisation means. \n\nAfter some discussion, the team decided to bring the user in a space framework and to dispose paintings in this colourfull environment such as if they were forming a new constellation. \n\nIn addition, some animation were associated to each painting to allow the visitor to better appreciate the images on the the panels. \n\n## Screenshots\nHere are some screenshots from the designing process of the VR environment: \n\n![alt text](https://github.com/Nachtschicht21/Nachtschicht21/blob/8d3ac0c4ec241996c4f8f61e4ba458974c9245d6/Skeleton_bw.jpg \"skeleton\")\n\n![alt text](https://github.com/Nachtschicht21/Nachtschicht21/blob/10b12a84b33fbf369f0776ec51efa2849c987286/Sketch_color.jpg \"Color sketch\")\n\n## Weblinks\nhttps://353893-4.web1.fh-htwchur.ch/im4/Nachtschicht21/index_5.html\n\n\n\n","autotext_url":"https://github.com/Nachtschicht21/Nachtschicht21","category_id":"","category_name":"","contact_url":"https://glamhack2021.slack.com/archives/D01UULM1BB2","created_at":"2021-04-16T06:33","download_url":"","event_name":"GLAMhack 2021","event_url":"https://hack.glam.opendata.ch/event/2","excerpt":"Nachtschicht21 https://www.nachtschicht21.ch/ is curating artworks of young swiss contemporary artists. During this hackathon we'd like to create beside the gallery exhibition, which will start on the 11.5.2021, a VR space, in which the works can be made accessible to everyone around the globe. This we plan to do with A Frame.\r\n\r\nData to work with during the two days hackathon:\r\nhttps://drive.google.com/drive/folders/1_6AoAPutT2V7uh6ZE9W9S1OJwklS3KWF?usp=sharing\r\n\r\nSoMe-channel of Nachtschicht 2...","hashtag":"","id":113,"ident":null,"image_url":"https://avatars.githubusercontent.com/u/82229332?v=4","is_challenge":false,"is_webembed":false,"logo_color":"","logo_icon":"","longtext":"Nachtschicht21 https://www.nachtschicht21.ch/ is curating artworks of young swiss contemporary artists. During this hackathon we'd like to create beside the gallery exhibition, which will start on the 11.5.2021, a VR space, in which the works can be made accessible to everyone around the globe. This we plan to do with A Frame.\r\n\r\nData to work with during the two days hackathon:\r\nhttps://drive.google.com/drive/folders/1_6AoAPutT2V7uh6ZE9W9S1OJwklS3KWF?usp=sharing\r\n\r\nSoMe-channel of Nachtschicht 21\r\nhttps://www.instagram.com/nachtschicht21/\r\n\r\n\r\n\r\n\r\n","maintainer":"Geruscha Lau FHGR","name":"Nachtschicht 21 a 3D, Virtual Reality & Art Exhibition","phase":"Publish","progress":40,"score":89,"source_url":"https://github.com/Nachtschicht21/Nachtschicht21","stats":{"commits":0,"during":6,"people":1,"sizepitch":544,"sizetotal":1805,"total":10,"updates":8},"summary":"We want to showcase the artworks of swiss contemporary artists in a VR space.","team":"Geruscha Lau FHGR","team_count":1,"updated_at":"2021-04-17T14:38","url":"https://hack.glam.opendata.ch/project/113","webpage_url":""},{"autotext":"","autotext_url":"","category_id":"","category_name":"","contact_url":"https://www.performing-arts.ch/resource/sapa:About","created_at":"2021-03-27T18:18","download_url":"","event_name":"GLAMhack 2021","event_url":"https://hack.glam.opendata.ch/event/2","excerpt":"Ursula Pellaton (*1946) is a walking encyclopedia of Swiss dance history. Her enthusiasm for dance began in 1963 with a performance of \"Giselle\" in Zurich. That was the beginning of her many years of involvement with dance, which has accompanied her ever since as a journalist and historian, among other things.\r\n\r\n title: The Scene lives!\ntags: echtzeit\ndescription: Echtzeit x GLAMhack 2021\nslideOptions: <tt style="font-size:70%"> TL;DR\n- Presenting (see intro) Echtzeit = Contributors to international demoscene\n- GLAMhack / OpenGLAM = Community of international culture-data wranglers\n- Our #GLAMhack 2021 project: https://hack.glam.opendata.ch/project/114\n- Prototype web app: https://scene.rip/\n- Source code app: https://github.com/we-art-o-nauts/the-scene-lives-app\n- Prototype API: https://api.scene.rip/productions\n- Data + API: https://github.com/we-art-o-nauts/the-scene-lives\n- Slack channel: #team-26-echtzeit-x-openglam </tt> ..Or just tune into SceneSat :headphones: and enjoy electronic art at the hackathon! Elevated by Urszula "Urssa" Kocol Road by PG and R0ger Pouet logo by tomaes The oldest and most well known central repository, pou\u00ebt, makes daily data exports available at https://data.pouet.net/ with a JSON API endpoint at https://api.pouet.net/ and the open source code of it at https://github.com/pouetnet/pouet2.0-api We downloaded and tried to parse the raw JSON with a couple of tools, and didn't manage to get far. Convoluted structure and formatting errors were rather demotivating. Nevertheless it influenced our thoughts about a "demoscene data standard", and brainstorm ideas of improving overall data quality (for example, we immediately noticed mismatched dates and missing values). This API was also recently used to do some terrific data analysis, and we reached out to the authors to find out if we can reuse their scripts. We have also reached out via the #pouet Discord for guru meditation. The Demozoo API is basic but usable: http://demozoo.org/api/v1/\nAs it's a paginated web service, it would require a bit of scraping code to aggregate. So we used the 'nuclear option' of getting the database dump in raw SQL format. Importing this into a local SQLite database (inspired by all of Wikipedia in SQLite) and then re-exported the tables in CSV format. This should be done differently for automated data updates. We have reached out via the #demozoo Discord and GitHub for some further ideas. A popular current way to crowdsource open data in a distributed way is the Data Package, the preferred format for doing this using the Frictionless Data project, which has a create tool to generate an initial An initial data package based on the Demozoo archive is at GitHub, which compiles and aggregates the data from several tables using the Python dataflows library. Exploring and transforming the data gives us a frame of reference based on which to think about some commonalities and differences between different archives' approaches. We did some research to see what effort in this direction was already made, and reached out to the Demozoo and Pouet communities. Each of the data sources have a schema of their own, and some attempts at consolidation have been made. We started with a simplified version of the Demozoo model, created a Table Schema which can be used for validation or annotation as JSON Schema. Our dataset repository clearly explains its sources, but also points out there are many other places which could be future data acquisition targets. These notable scene repositories and data sources include: While the Data Package is nice to look at in it's JSON glory, most people (and programmers) will want some kind of interface to it. We wrote a small server using the Falcon Framework to produce a barebones API. Since the data is loaded using a Frictionless Data wrapper for the Pandas library, it can incorporate various advanced sorting and filtering routines. Our proto-service is currently running at a private VPS hosted on Linode, but should also work on 'lambda function' hosts like Vercel or Heroku. Still from Traffic Jam by Chainsaw If we make it this far, we would like to make a basic example of data usage. After all this data wrangling, we didn't have time to really explore the space of user interface possibilities. But we have a small application that demonstrates the API with an infinite-scrolling user interface showing productions. See for yourself at https://scene.rip :love_letter: seism@utou.ch :bird: @seismist Pass it forward: hackmd.io/@oleg/the-scene-lives <small>This presentation is shared under CC BY 4.0</small> ![](\"https://sapa-data.s3.amazonaws.com/Pellaton.jpg\")
\r\n\r\nShe shared a lot of her knowledge in 16 hours of video recordings that were the basis for a biography in traditional boo...","hashtag":"","id":60,"ident":null,"image_url":"","is_challenge":false,"is_webembed":false,"logo_color":"","logo_icon":"","longtext":"Ursula Pellaton (*1946) is a walking encyclopedia of Swiss dance history. Her enthusiasm for dance began in 1963 with a performance of \"Giselle\" in Zurich. That was the beginning of her many years of involvement with dance, which has accompanied her ever since as a journalist and historian, among other things.\r\n\r\n\r\n\r\nShe shared a lot of her knowledge in 16 hours of video recordings that were the basis for a biography in traditional book form. However, both video and book are limited by their linear narratives that differ from our experience of history as a living network of people, places, events, and works of art. Based on a longer excerpt from the recordings and its transcript, we would like to turn this oral history document into a comprehensive online experience by creating a navigable interface and augmenting the video with supplementary information and material.\r\n\r\nContact: Birk Weiberg, Swiss Archive of the Performing Arts, Challenge
\r\n\r\nOur Hackathon project consists in producing a website with Wikidata tutorials specifically aimed at heritage institutions. The tutorials shall cover a broad range of topics, providing simple explanations for beginners in several languages. The tutorials will be gathered on a website, where users can either look for specific instructions or go through the whole programme of tutorials. In this perspective, we have created a storyboard going from a general introduction to the ...","hashtag":"","id":61,"ident":null,"image_url":"","is_challenge":false,"is_webembed":false,"logo_color":"#ffffff","logo_icon":"","longtext":"Challenge
\r\n\r\nOur Hackathon project consists in producing a website with Wikidata tutorials specifically aimed at heritage institutions. The tutorials shall cover a broad range of topics, providing simple explanations for beginners in several languages. The tutorials will be gathered on a website, where users can either look for specific instructions or go through the whole programme of tutorials. In this perspective, we have created a storyboard going from a general introduction to the usefulness of Wikidata for GLAMs to tutorials explaining how to edit specific information. \r\n\r\nThe tutorials are based on powerpoint presentations with audio tracks. We have prepared a template to facilitate the tutorial production during the hackathon. We also have scripts for some of the topics. We will be using applications such as deepl to automatically translate the scripts. With the use of \u201ctext to speech\u201d converters, we will record the scripts in English, French, German and Italian. This will allow us to produce many tutorials in the short time span of the GLAMhack. \r\n\r\nA second aspect of our project consists in producing a short video as an introduction to our website. This video should explain what kind of information is registered about GLAMs in Wikidata and what benefits the institutions can draw from the database. \r\n\r\nWe are looking for participants who are interested in sharing their Wikidata knowledge, people who have experience with fun and easy tutorials, people who know wordpress to work on the website, polyglots who can edit the automatically generated translations or people without any Wikidata know-how who want to help us develop the user journey of our tutorial programme by trying it out. For the short introduction video, we are looking for multimedia producers. \r\n\r\n\r\nProject Documentation
\r\n\r\nGeneral Procedure\r\n1. Create a template for the tutorials: Powerpoint presentation with space holders for audiofiles\r\n2. Make a list of topics that could be covered in the tutorials\r\n3. Create a website where to publish the tutorials\r\n4. Produce as many tutorials as possible!\r\n\r\nTutorial organisation tree:\r\n\r\n\r\nTutorial Factory\r\n1. Prepare a powerpoint presentation with the script in English as notes and the screenshots in the language of the tutorial \r\n2. Transform the script into audiofiles with spoken word (see [this repository](https://github.com/wadoli/soasg-wikidata-tutorials-tts) for a way to do this using Google Cloud)\r\n3. Insert the audiofiles into each slide and adapt the animation according to the spoken word\r\n4. Translate the script into another language and replicate the screenshots in the new language\r\n5. Repeat steps 2 and 3\r\n\r\nNote: leave the written script as a note on each slide. This makes the tutorials user friendly to persons with hearing impairment and also facilitates the translation into other languages.\r\n\r\nWebsite\r\n1. Create an upload system\r\n2. Create a landing page for each language with the list of topics\r\n3. Enable users to download the tutorials and leave a comment\r\n\r\nOutcome\r\n- 7 tutorial scripts in English\r\n- 3 tutorials in German\r\n- 4 tutorials in English\r\n- 2 tutorials in Italian\r\n- 2 tutorials in French\r\n- website in 2 languages (German and English)\r\n\r\nLink to website: https://tutorials.schoolofdata.ch/\r\n\r\nProject Team: \r\nAnnina Clara Engel \r\nAlicia Fagerving \r\nSarah Fuchs \r\nVal\u00e9rie Hashimoto \r\nOliver Waddell \r\nNicolai Wenger \r\n\r\n\r\n\r\nContact: Val\u00e9rie aka GLAMoperator > hashimotoval@gmail.com\r\n\r\n","maintainer":"","name":"Wikidata Tutorial Factory","phase":"Prototype","progress":30,"score":83,"source_url":"","stats":{"commits":0,"during":19,"people":3,"sizepitch":3800,"sizetotal":3874,"total":29,"updates":25},"summary":"Or how to efficiently produce Wikidata tutorials for heritage institutions","team":"swiss12345, waddell","team_count":3,"updated_at":"2021-04-20T05:58","url":"https://hack.glam.opendata.ch/project/61","webpage_url":"https://tutorials.schoolofdata.ch/"},{"autotext":"
\n\n theme: dark
\n\n
\n\n10'000 m goals
\n\n\n
\n\n
\n\n![\"Elevated](\"https://media.demozoo.org/screens/s/c5/a8/8d52.pl82672.jpg\")
\n\nOur GLAMhack roadmap
\n\n\n
\n\n10 Mine some data from demozoo20 Collect a few bytes from pou\u00ebt30 Create an initial Data Package40 Document process of aggregation50 Set up a basic demo service60 Push dataset as open repository70 Propose a standard(TM) schema80 Create and demo the prototype
\n\n:point_down: The drilldown
\n\n![\"Road](\"https://media.demozoo.org/screens/s/2d/97/c2a1.182016.png\")
\n\n![\"Pouet](\"http://content.pouet.net/logos/_20080804_4.jpg\")
\n\ntrumpets
\n\n![\"\"](\"https://i.imgur.com/vMPy7JL.png\")
\n\n![\"\"](\"https://i.imgur.com/Hckf04U.png\")
\n\ndemozoo
\n\n![\"Demos](\"https://media.demozoo.org/screens/s/cf/b3/284a.pl55208.jpg\")
\n\npackage
\n\ndatapackage.json. ![\"Toolbox](\"https://frictionlessdata.io/img/home/toolbox.png%20%22Toolbox%22%20=320x240\")
\n\nschema
\n\n![\"Ascii](\"https://media.demozoo.org/screens/s/44/0e/ad34.jw63527.png%20=320x240\")
\n\nrepository
\n\n\n
\n\n![\"Dump](\"https://media.demozoo.org/screens/s/d9/ea/5a60.85932.png\")
\n\nservice
\n\n![\"Dream](\"https://media.demozoo.org/screens/s/64/8c/4c76.36647.jpg\")
\n\n![\"\"](\"https://i.imgur.com/oWCONsZ.jpg\")
\n\nprototype
\n\n![\"\"](\"https://i.imgur.com/bA4ZirG.jpg\")
\n\nIdeas to build upon
\n\n\n
\n\n![\"fr-036:](\"https://media.demozoo.org/screens/s/6d/a0/a2cb.41635.jpg\")
\n\nMore or less irrelevant links
\n\n\n
\n\n
\n\nDemo or :skullandcrossbones: die!
\n\n![\"Dig](\"https://media.demozoo.org/screens/s/b4/31/369d.pl46352.png\")
\n\n:sheep: Thanks for watching!
\n\n
\r\nWe would like to make digitised music scores deposited on e-manuscripta and ...","hashtag":"","id":71,"ident":null,"image_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/glamhack/R0XH8Q7G5QBCLKFSZ5FGQX8U.jpg","is_challenge":true,"is_webembed":false,"logo_color":"#ffffff","logo_icon":"","longtext":"The Zentralbibliothek Zurich and several other Libraries in Switzerland own large numbers of music scores. Several of these scores are accessible via the digital platforms [e-manuscripta](https://www.e-manuscripta.ch/emanus/noten/nav/classification/50) and [e-rara](https://www.e-rara.ch/nav/index?&facets=type%3D%22notated_music%22). But what if you want to hear the music instead of just seeing the score sheets?
\r\nWe would like to make digitised music scores deposited on e-manuscripta and e-rara audible, using OMR and notational software. Our overall goal would be to develop a workflow resulting in audio files. Such a workflow would at any rate include manual steps. Rather than developing a fully automated pipeline, this little explorative study is an attempt to find out about the potentials of OMR in a cultural heritage context, possibly making written music more accessible.
\r\n\r\n## Presentation\r\n\r\n[Final Presentation](https://docs.google.com/presentation/d/1DcysWvMrrimSTQw_Wr5CcD4WB_BrfTpxLrdszUFTJr0/edit#slide=id.gcdedfd989d_0_51)\r\n\r\n## Documentation\r\n\r\n[Project Documentation](https://drive.google.com/drive/folders/1WnGv_GdHYfpvqpjuTTi5mUdvLemtj8GG)\r\n\r\n## Tools\r\n\r\n * [Audiveris Optical Music Recognition](https://github.com/Audiveris/audiveris)\r\n * [Verovio, A music notation engraving library](https://www.verovio.org)\r\n * [Musescore Notation Software](https://musescore.org)\r\n * [IIIF Curation Tool](https://imageserver.j-images.ch/cp/viewer/)\r\n\r\n## Data\r\n\r\n[e-rara](https://www.e-rara.ch/nav/index?&facets=type%3D%22notated_music%22)\r\n\r\n## Team\r\n\r\n * Anna Keller\r\n * Henrike Hoffmann\t\r\n * Alexa Renggli\r\n * Neni Milo\t\r\n * Nobutake Kamiya\t\r\n * Lionel Walter\r\n\r\nImage: Hans Georg N\u00e4geli: Christliche Lieder zur Feyer der Reformation, Z\u00fcrich 1818, Zentralbibliothek Z\u00fcrich, Mus WB 7132 (https://doi.org/10.3931/e-rara-20956)","maintainer":"lschmitt","name":"Making digitised scores audible","phase":"Challenge","progress":0,"score":49,"source_url":"","stats":{"commits":0,"during":12,"people":3,"sizepitch":1858,"sizetotal":1858,"total":28,"updates":24},"summary":"","team":"lschmitt, lionel_walter, henrikeh","team_count":3,"updated_at":"2021-04-17T16:10","url":"https://hack.glam.opendata.ch/project/71","webpage_url":""},{"autotext":"# 1971 and all that\n2021 marks the 50th anniversary of women\u2019s suffrage in Switzerland: a perfect opportunity to investigate what led to the events in 1971 and what happened since then. \n\nIn our challenge, we focused on the discourse around women, feminism and women\u2019s right to vote in Switzerland by analysing relevant newspaper articles. Our aim was to apply natural language processing methods on those texts that are accessible via the [impresso app](https://impresso-project.ch/app/). This app - product of an [SNF funded project](https://impresso-project.ch/) - contains a huge number of digitised articles that were published between 1740 and 2000. It mainly features historical newspaper collections, but also the archives of Le Temps and the Neue Z\u00fcrcher Zeitung. Some of the articles from the Impresso corpus are subject to copyright, therefore we cannot share them publicly.\n\nIn this corpus we wanted to identify characteristic topics that are related to women\u2019s suffrage in Switzerland. We created a topic model and an interactive wordcloud in a Jupyter notebook. A first topic model which still has to be improved has been visualised. Further steps would be to visualize how the identified topics in the articles referring to the women's suffrage evolved over time, e.g. by a timeline slider.\n\n![\"ETH-BIB-Fackelumzug](\"https://upload.wikimedia.org/wikipedia/commons/thumb/e/eb/ETH-BIB-Fackelumzug_der_Frauen_f%C3%BCr_Frauenstimmrecht_in_Z%C3%BCrich-Com_L12-0033-0013.tif/lossy-page1-1200px-ETH-BIB-Fackelumzug_der_Frauen_f%C3%BCr_Frauenstimmrecht_in_Z%C3%BCrich-Com_L12-0033-0013.tif.jpg\")
\r\n![Title](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/g...","hashtag":"","id":63,"ident":null,"image_url":"","is_challenge":false,"is_webembed":false,"logo_color":"#f44d4d","logo_icon":"","longtext":"The ETH Library enables access to a large number of scientific titles on e-rara.ch, which are provided with OCR. However, these old prints often also contain mathematical formulas and tables. Such content is largely lost during OCR processing, and often only individual numbers or letters are recognized. Special characters, systems of equations and tabular arrangements are typically missing in the full text.\r\n
\r\n\r\n
\r\nThe aim of this project is to develop a procedure for selected content, how this information could be restored.\r\n\r\nData
\r\nImages & Full texts from e-rara.ch
\r\nOAI: https://www.e-rara.ch/oai/?verb=Identify \r\n\r\nContact
\r\nTeam Rare Books and Maps ETH Library
\r\nMelanie, Oliver, Sidney, Roman
\r\nruk@library.ethz.ch","maintainer":"ruk_ethbib","name":"e-rara: Recognizing mathematical Formulas and Tables ","phase":"Research","progress":10,"score":39,"source_url":"https://www.e-rara.ch/","stats":{"commits":0,"during":1,"people":1,"sizepitch":884,"sizetotal":884,"total":8,"updates":6},"summary":"","team":"ruk_ethbib","team_count":1,"updated_at":"2021-04-17T13:23","url":"https://hack.glam.opendata.ch/project/63","webpage_url":""},{"autotext":"","autotext_url":"","category_id":"","category_name":"","contact_url":"https://github.com/eth-library-lab/GlamHack2021-DataDiver","created_at":"2021-04-16T09:26","download_url":"","event_name":"GLAMhack 2021","event_url":"https://hack.glam.opendata.ch/event/2","excerpt":"Finding and viewing open datasets can be time consuming. Datasets can take a long time to download, and after exploring them you realise it is not in the form you needed.\r\n\r\nThe idea is to create a tool that could run on open data providers' servers, but also on a local computer, which automatically generates an overview of the files, images and along with some summary statistics.\r\n\r\n![Title](https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/glamhack/09A1OYIKRQYE5W0198882VM...","hashtag":"","id":116,"ident":null,"image_url":"","is_challenge":true,"is_webembed":false,"logo_color":"","logo_icon":"","longtext":"Finding and viewing open datasets can be time consuming. Datasets can take a long time to download, and after exploring them you realise it is not in the form you needed.\r\n\r\nThe idea is to create a tool that could run on open data providers' servers, but also on a local computer, which automatically generates an overview of the files, images and along with some summary statistics.\r\n\r\n","maintainer":"barry_sunderland","name":"Archived-Data-Diver","phase":"Challenge","progress":0,"score":24,"source_url":"https://github.com/eth-library-lab/GlamHack2021-DataDiver","stats":{"commits":0,"during":3,"people":1,"sizepitch":506,"sizetotal":567,"total":3,"updates":1},"summary":"Automatically generate an overview of large archived datasets","team":"barry_sunderland","team_count":1,"updated_at":"2021-04-16T09:41","url":"https://hack.glam.opendata.ch/project/116","webpage_url":""},{"autotext":"","autotext_url":"","category_id":"","category_name":"","contact_url":"https://www.mkb.ch","created_at":"2021-04-09T06:18","download_url":"","event_name":"GLAMhack 2021","event_url":"https://hack.glam.opendata.ch/event/2","excerpt":"The Museum der Kulturen Basel (MKB) is the largest ethnographic museum in Switzerland and one of the most eminent of its kind in Europe. The MKB collections are renowned throughout the world; in total they hold over 340 000 artefacts from all over the world. A large number of them stems from various places in Europe \u2013 from northern Scandinavia to the South of Greece, from Portugal to the Carpathians, from remote Alps to bustling cities. This European collection comprises around 75 000 artefacts,...","hashtag":"","id":68,"ident":null,"image_url":"","is_challenge":true,"is_webembed":true,"logo_color":"#69ddf2","logo_icon":"","longtext":"The Museum der Kulturen Basel (MKB) is the largest ethnographic museum in Switzerland and one of the most eminent of its kind in Europe. The MKB collections are renowned throughout the world; in total they hold over 340 000 artefacts from all over the world. A large number of them stems from various places in Europe \u2013 from northern Scandinavia to the South of Greece, from Portugal to the Carpathians, from remote Alps to bustling cities. This European collection comprises around 75 000 artefacts, such as religious objects, handicraft, cloths, pictures, toys and everyday items. They came into the museum\u2019s collection as acquisitions or gifts during the last 120 years.\r\n\r\nWhile in the very beginning the focus of the collectors was on objects from remote Swiss hamlets, the interest slowly shifted to artefacts from industrialised environments. Changing geopolitical developments enabled collecting in different regions of Europa at different times. Also, personal interests or personal connections of single collectors led to sudden large additions from one specific area.\r\n\r\nThe goal of this challenge is to show the rise and fall of dominant geographical provenances during the last 120 years of collecting in Europe. This could enable the answer to interesting questions such as: Which specific spatial interests arose and fell during the last 120 years? How did the idea of Europe\u2019s border change over time? When was the peak of collecting in remote Swiss valleys? Which were the effects of the First and the Second World War on the geographical provenance of new acquisition? How did the fall of the Iron Curtain affect the collection practice?\r\n\r\nThe data provided by MKB has never been published before. It stems from a database used for managing the collection, which grew over generations. There are inconsistencies on different levels, as errors and omissions occurred both when the objects were first cataloged and when the catalogues were transcribed into the database. Terminologies contained therein may today be inaccurate, outdated, or offensive.\r\nThe provided material may be raw \u2013 but to the same extent its quantity and uniqueness is precious!\r\n\r\nDataset: https://opendata.swiss/de/dataset/sammlung-europa ","maintainer":"TabeaBuri","name":"The spatial evolvement of a Museums\u2019 collection","phase":"Challenge","progress":0,"score":2,"source_url":"https://github.com/FranzFlueckiger/hackathon_2021","stats":{"commits":0,"during":3,"people":2,"sizepitch":2230,"sizetotal":2339,"total":6,"updates":3},"summary":"How did geopolitics and scientific interests affect provenances in a collection of 75 000 European artefacts?","team":"TabeaBuri, MuseumderKulturenBasel","team_count":2,"updated_at":"2023-09-20T08:59","url":"https://hack.glam.opendata.ch/project/68","webpage_url":"https://docs.google.com/presentation/d/1EJycoTLh0sXJ4qsCzUjIAf0KYV30Y4fxWt2QH4KC8is/edit#slide=id.gcded805dcd_0_37"},{"autotext":"","autotext_url":"","category_id":"","category_name":"","contact_url":"https://hack.glam.opendata.ch/project/118","created_at":"2021-04-17T08:30","download_url":"","event_name":"GLAMhack 2021","event_url":"https://hack.glam.opendata.ch/event/2","excerpt":"\r\n\r\nBrief project description: \r\n\r\nEverybody experiences emotions. This is the starting point for a journey of discovery through art, on which we would like to take as wide an audience as possible.\r\n\r\nA web app shows artworks and asks users which emotion(s) they trigger in them. The six universal basic emotions of fear, joy, anger, sadness, disgust and surprise are suggested. Th...","hashtag":"","id":118,"ident":null,"image_url":"https://bucketeer-036aa605-c047-4623-8610-f1764b90cf98.s3.amazonaws.com/glamhack/3I5CF4A21PLSX4N819524QDQ.jpg","is_challenge":true,"is_webembed":false,"logo_color":"#0061ff","logo_icon":"","longtext":"\r\n\r\nBrief project description: \r\n\r\nEverybody experiences emotions. This is the starting point for a journey of discovery through art, on which we would like to take as wide an audience as possible.\r\n\r\nA web app shows artworks and asks users which emotion(s) they trigger in them. The six universal basic emotions of fear, joy, anger, sadness, disgust and surprise are suggested. There is also the possibility of describing one's own feelings in a differentiated way in a free text field.\r\n\r\nAfter clicking on one emotion tag, you can see how other users feel about this artwork.\r\n\r\nAn info button can be used to display the \u00abreverse side\u00bb of the picture, which contains precise information about the artwork (artist, title, date, technique, dimensions, copyright, picture credits).\r\n\r\nArrow navigation takes you to the next work of art, which can be responded to emotionally. \r\n\r\n\r\nTechnical description: \r\n\r\nThe project team worked with image and metadata from the photo archives of the Swiss Institute of Art Research SIK-ISEA. Link to the data sets:\r\n\r\nhttps://opendata.swiss/de/dataset/kunstwerke-aus-dem-bildarchiv-von-sik-isea\r\n\r\nhttps://opendata.swiss/de/dataset/werkverzeichnis-der-kunstlerin-eva-aeppli-1925-2015\r\n\r\nA node.js server and a react-frontend are used. The webapp runs in the browser and is therefore accessible under a URL.As an admin, any selection of images can be loaded into the app and made available to a specific audience. \r\n\r\nPossible contexts of application:\r\nArt education, museum, school, art therapy\r\n\r\n> https://heartful.freisicht.ch\r\n\r\nProject team: \r\nAnna Flurina K\u00e4lin, art educator und information scientist;\r\nJan L\u00e4ssig, digital art educator and multimedia producer;\r\nThomas Stettler, information scientist;\r\nAngelica Tschachtli, art historian\r\n\r\nLink to project presentation: https://museion.schule/vermittlung/heARTful-presentation.pdf\r\n\r\n/// IN GERMAN ///\r\n\r\nInhaltliche Kurzbeschreibung:\r\n\r\nEmotionen kennen alle Menschen. Sie sind der Ausgangspunkt f\u00fcr eine Entdeckungsreise durch die Kunst, auf die wir ein m\u00f6glichst breites Publikum mitnehmen m\u00f6chten.\r\n\r\nEine Webapp zeigt Kunstwerke und fragt die User*innen, welche Emotion(en) sie in ihnen ausl\u00f6sen. Vorgeschlagen werden die sechs universellen Basisemotionen Furcht, Freude, \u00c4rger, Traurigkeit, Ekel, \u00dcberraschung. Es gibt auch die M\u00f6glichkeit, in einem Freitext-Feld die eigenen Gef\u00fchle differenziert zu beschreiben.\r\n\r\nNach dem Anklicken der Emotion wird eingeblendet, was andere User*innen zu diesem Kunstwerk f\u00fchlen. \r\n\r\n\u00dcber einen Info-Button kann die \u00abR\u00fcckseite\u00bb des Bildes angezeigt werden, auf der die genauen Informationen zum Kunstwerk angegeben sind (K\u00fcnstler*in, Titel, Datierung, Technik, Masse, Copyright, Bildnachweis).\r\n\r\nMit einer Pfeilnavigation kommt man zum n\u00e4chsten Kunstwerk, auf das emotional reagiert werden kann. \r\n\r\nTechnische Beschreibung: \r\n\r\nDas Projektteam hat mit Bild- und Metadaten aus dem Fotoarchiv des Schweizerischen Instituts f\u00fcr Kunstwissenschaft SIK-ISEA gearbeitet. Link zu den Datensets:\r\n\r\nhttps://opendata.swiss/de/dataset/kunstwerke-aus-dem-bildarchiv-von-sik-isea\r\n\r\nhttps://opendata.swiss/de/dataset/werkverzeichnis-der-kunstlerin-eva-aeppli-1925-2015\r\n\r\nVerwendet wird ein node.js-Server und ein react-frontend. Die Webapp l\u00e4uft im Browser und ist abrufbar unter einer URL. Als Admin kann eine beliebige Bildauswahl in die App geladen und einem bestimmten Publikum zug\u00e4nglich gemacht werden.\r\n\r\nM\u00f6gliche Kontexte der Anwendung: \r\nVermittlung, Museum, Schule, Kunsttherapie\r\n\r\n> https://heartful.freisicht.ch\r\n\r\nProjektteam: \r\nAnna Flurina K\u00e4lin, Kunstvermittlerin und Informatikerin; \r\nJan L\u00e4ssig, Digitaler Kunstvermittler und Multimediaproduzent; \r\nThomas Stettler, Informatiker; \r\nAngelica Tschachtli, Kunsthistorikerin\r\n\r\nLink zur Projektpr\u00e4sentation: https://jan-laessig.ch/wp-content/uploads/2022/10/heARTful-presentation.pdf ","maintainer":"angelica","name":"heARTful \u2013 Art & Emotions","phase":"Challenge","progress":0,"score":0,"source_url":"https://hack.glam.opendata.ch/project/118","stats":{"commits":0,"during":21,"people":2,"sizepitch":3998,"sizetotal":4034,"total":23,"updates":20},"summary":"Dicovering artworks through emotions","team":"angelica, jan_l\u00e4ssig","team_count":2,"updated_at":"2022-11-18T17:12","url":"https://hack.glam.opendata.ch/project/118","webpage_url":"https://jan-laessig.ch/wp-content/uploads/2022/10/heARTful-presentation.pdf"}],"name":"projects"}],"sources":[{"path":"https://hack.glam.opendata.ch/","title":"dribdat"}],"title":"GLAMhack 2021","version":"0.9.4"}