event:2020-06

#GLAMhack 2020
Projects | Pre-Event & Workshops | Datasets | Swiss Cultural Data | Cultural Data Worldwide | Earlier Editions

6th Swiss Open Cultural Data Hackathon - Online Edition

The 2020 Edition of the Swiss Open Cultural Data Hackathon took place on 5-6 June as an ONLINE hackathon. This edition was virtually hosted by the Swiss Institute for Information Science at the FHGR Chur, in collaboration with the Institute for Multimedia Production. The focus of the GLAMhack was on Linked Open Data, Machine Learning, Human-Computer-Interaction and Crowdsourcing. Once again, we were happy to collaborate with Wikimedia CH, infoclio.ch and other members of the Friends of OpenGLAM Network.

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SHARE YOUR DATA in view of the next Open Cultural Data Hackathon

You may own yourself cultural data that you are ready to share. Please look at the infosheets and if you have any questions, feel free to contact valerie.hashimoto@openglam.ch.

View of Chur. Photo by Marketing htwchur, CC BY-SA 4.0, via Wikimedia Commons.

The interlinking of cultural heritage data, the use of structured data as well as crowdsourcing and machine learning are becoming more and more institutionalised in the international GLAM community. This is why the focus of the 2020 and 2021 editions lies on linked open data, machine learning, human-computer-interaction and crowdsourcing.

Here is a selection of new datasets for the GLAMhack 2020:

Datasets from the PTT-Archives

The archives of the PTT (Swiss Post and Telecommunication) have prepared three datasets with maps of the public transport services offered by the post, postcards with photos of the “post-auto” and chronicles of Swiss post offices.

Source: PPT-Archiv

Data:


List of exhibitions with Swiss artists (since 1945)

This dataset contains an extensive list of art exhibitions from 1945 to 2020. It provides the title of the exhibition, the institution and dates, the names of the participating artists who are edited in the SIKART lexicon, the SIKART-IDs of the exhibitions and artists as well as direct links to the exhibition entries in www.sikart.ch.

Source: Schweizerisches Institut für Kunstwissenschaft (SIK-ISEA)

Data: opendata.swiss


“The call of the mountains”

This dataset gathers images (paintings, photographs, postcards) of the mountain landscapes of Canton Graubünden. They illustrate the stories of the first alpinists, of adventure, success and defeats. They witness the development of Graubünden from the 1850’s to 2006.

Dataset infosheet (in German)

Source: Fundaziun Capauliana

Data: Due to copyright restrictions, the data will only be available in the context of the hackathon. We hope that using the data for a project will convince the new data provider to identify and publish open contents in the future.

image: Hotel Restaurant Belvédère. Alp Grüm 2189 m ü. M. Blick auf Palügletscher, postcard, 1929, Inv. Nr. 13931 © Fundaziun Capauliana


“Children’s drawings”

This dataset gathers about 300 drawings, which were created by the pupils of a secondary school in Zurich between approx. 1900 and 1911. They show ornaments, plants, animals and architecture in pencil, watercolour or ink.

Dataset infosheet (German)

Source: Stiftung Pestalozzianum

Data: Due to copyright restrictions, the data will only be available in the context of the hackathon.

image: Drawing with ornaments, drawn by a girl of age 14, watercolour and ink on paper, 51,1 x 31 cm, 1900-1910, class of Gustav Weber, Zürich, CC-BY-NC, Stiftung Pestalozzianum.

Mini Pre-Event / Info Session

Thursday, 28 May 2020, 17:30 - 18:30
During this info session, we presented the challenges and datasets that have already been published. We explained the unfolding of the online Hackathon and presented the tools and platforms.


Transkribus: Tutorial and Q & A

Watch the Transkribus tutorial by Tobias Hodel (10')

Transkribus (transkribus.eu) is an open software for handwritten text recognition. Developed within project READ (Recognition and Enrichment of Archival Documents), Transkribus uses deep learning to analyze page layouts and recognizes scripts. Furthermore, the software helps you compute the accuracy of the result and the training of new writing styles on demand. Transkribus is a so-called expert software. Due to its different aptitudes, it's not as intuitive to use as other algorithms. With a little bit of training and an interest in text recognition, everyone can learn to use the software in some hours.
For the GLAMhack 2020, the Digital Humanities of the University of Bern provided a video tutorial, demonstrating the software's use and abilities.

Thursday, 4 June 2020, 15:00 - 17:00
Q & A Session – Transkribus
During the Question and Answer Session, Tobias Hodel assisted you and showed further functionalities of Transkribus.


Input Presentations

Tuesday, 2 June 2020, 18:00-19:30 - Presentations

«archives at» – Referencing Archival Fonds on Wikidata in a Semi-Automatic Way by Michael Gasser, Head of Collections and Archives, ETH Library Zurich

“Do You Know More? Crowdsourcing @ the Image Archive, ETH Library Zurich” by Nicole Graf, Head Image Archive, ETH Library Zurich

Does AI Perform Better? – Metadata Enhancement through Deep Learning by Christian Stuber and Manuel Kocher, students at Bern University of Applied Sciences


Friday, 4 June 2020, 18:00-18:30
“Face Recognition” by Udo Birk, Departement Applied Future Technologies, Institute for Photonics and ICT


Saturday, 5 June 2020, 16:00-16:30
“Connecting Coins Around the Globe - Numismatics and Linked Open Data” by Dr. Christian Weiss, curator coins & medals, Swiss National Museum


Panel on Authority Files and Controlled Vocabularies

Wednesday, 3 June 2020, 18:00-19:30 - Panel on Authority Files and Controlled Vocabularies
The panel participants presented their activities in connection with the publication of authority files and controlled vocabularies as linked open data and shared their future plans in this area. In the ensuing discussion, the panel participants and the members of the audience discussed current challenges and identified areas for coordination and cooperation.

  • Beat Estermann, Bern University of Applied Sciences: Welcome & Introduction (link to video recording / link to slides (1-6))
  • Nicola Carboni, University of Zurich, Swiss Art Research Infrastructure: Resources and methodologies gathered by the Swiss Art Research Infrastructure (SARI) for managing, organising and semantifying reference information, specifically focusing on the current semantic ecosystem (standards, templates and software) for interlinking and presenting cultural data (link to video recording / link to slides)
  • Sarah Amsler, University of Zurich, Swiss Art Research Infrastructure: Translation of the AAT Art & Architecture Thesaurus (link to video recording / link to slide)
  • Beat Estermann, Bern University of Applied Sciences / Opendata.ch: Swiss GLAM Inventory on Wikidata; Authorities in the Context of the LOD Ecosystem for the Performing Arts (link to video recording / link to slides (7-21))

Thursday, 4 June 2020, 14:00 - 16:00
Workshop - Harmonizing Data Modelling Practices in the Performing Arts
The workshop was intended for representatives of performing arts archives and platforms as well as other people interested in harmonizing data modelling practices in the field of the performing arts at an international level. An overview of existing data models can be found here.

The objective of the workshop was to:
1. Provide an overview of existing data models, discuss similarities and differences, identify a common core (~90 minutes)
2. Discuss the question of how best to structure the harmonization process (~30 minutes)

Workshop documentation

Thursday, 4 June 2020, 17:00 - 19:00
Workshop – Wikidata & Performing Arts
The workshop was intended for practitioners interested in ingesting performing arts related data in Wikidata or in using data from Wikidata in their applications. For reference, see Wikidata Project "Performing Arts".

Tentative Agenda:
1. Round of table: Who has ingested / is planning to ingest what kind of data on Wikidata?
2. Round of table: Who has been using / is intending to use what kind of data from Wikidata?
3. What are the greatest challenges participants experience in the context of Wikidata? (brainstorming / clustering)
4. How are we planning to work together over the coming months?

Workshop Documentation


Entrance to the railway station in Chur. Photo by Cayambe, CC BY-SA 4.0, via Wikimedia Commons.

These event was organized by the OpenGLAM CH Working Group of the opendata.ch association, with contributions from:

Organization Committee
Opendata.ch
Andrea Allemann
Beat Estermann
Valérie Hashimoto (project coordinator)
Oleg Lavrovsky
Dominik Sievi (lead dataset team)
Birk Weiberg
FHGR Chur
Ivo Macek
Michel Pfeiffer
Thomas Weibel
ZB Zürich
Lothar Schmitt (lead programme committee)
Opendata.ch / Basel University Library
Lionel Walter
infoclio.ch
Enrico Natale
Jan Baumann

The 2020 GLAMhack was made possible by financial and/or in kind contributions from the Swiss Institute for Information Science and the Institute for Multimedia Production of the FHGR Chur, Wikimedia CH, the Central Library Zurich, infoclio.ch, the SUPSI, the GIONCOnDa project, the Hasler Foundation, the City of Chur, GKB FORZA and the members of the Friends of OpenGLAM Network. We are also happy to have SwissDev Jobs as a communication partner.

  • event/2020-06.txt
  • Last modified: 2020/09/03 17:21
  • by andrea_allemann