Iolanda Pensa, Wikimedia projects and OpenStreetMap as an Open Research Infrastructure, 03 February 2024, FOSDEM, Bruxelles, CC BY-SA 4.0
The Wikimedia and OpenStreetMap projects are an existing free software infrastructure that already produces citizen science and can be used by researchers to share and co-produce data and to produce - and reproduce - the results of research. The presentation specifically refers to the potential of data related to cultural heritage for studies in the humanities and in particular in museology, art, art history and history of architecture.
Pensa GLAM Wiki Conference - Empowering GLAMsIolanda Pensa
Iolanda Pensa, 100'000 institutions on the Wikimedia projects: A strategy to activate in a simple way all the institutions around the world, pre-recorded contribution to the conference GLAM Wiki Conference 2023, Uruguay, 10/11/2023.
Keynote talk for the Baltic Audiovisual Archival Council conference 2018 - 7-9 November in Tallinn, Estonia
http://www.baacouncil.org/cnf-2018
Presentation description:
Since the mid-2000s, cultural institutions around the world have worked together with Wikimedia volunteers in hundreds of collaboration projects. In these GLAM-Wiki projects, cultural organizations make their collections and specialized knowledge more widely accessible via the free encyclopedia Wikipedia and the free media repository Wikimedia Commons. In the past five years, Wikidata (Wikimedia's free, multilingual knowledge base) has gained a lot of influence in this area as well. As a very accessible and re-usable structured data and semantic web project, it has become a popular instrument for cultural institutions to publish collections as Linked Open Data, obtain multilingual data, place their collections in a much broader context, and enrich their collections with crowdsourced metadata. In 2017-19, Wikimedia Commons is also enhanced with structured data from Wikidata, with much improved APIs that make more smooth collaboration in GLAM-Wiki projects possible.
This keynote presentation provides a short overview of GLAM-Wiki collaborations and their impact, with special attention for the potential and use of Linked Open Data via Wikidata and via structured data on Wikimedia Commons. It includes examples of GLAM-Wiki projects by audiovisual archives and collections around the world.
From Catalogue 2.0 to the digital humanities: exploring the future of librari...Sally Chambers
This document discusses the evolving role of libraries and librarians in supporting digital scholarship and the digital humanities. It describes how traditional cataloguing tools like MARC are changing to incorporate new metadata standards and linked data. Research libraries' engagement with research infrastructures has been low but is increasing as opportunities arise in areas like research data management, digital repositories, and scholarly communication. The document argues libraries have important roles to play in discovery, data management, and as embedded partners supporting digital humanities researchers and their evolving needs. Collaboration between libraries and digital humanities centers is highlighted as a way to advance both fields.
Slides for the GLAM Panel at WikidataCon 2019 in Berlin, 25. October 2019, on the role of Wikidata within data ecosystems extending beyond the realm of Wikimedia projects. Authors: Susanna Ånäs (Finland); Mike Dickison (New Zealand); Joachim Neubert (Germany); Beat Estermann (Switzerland).
I Linked Open Data nei Beni Culturali, alcuni progetti e casi di studioCulturaItalia
Maria Emilia Masci, Scuola Normale Superiore, Linked Open Data (LOD): Un’Opportunità per il Patrimonio Culturale Digitale, Roma, ICCU, 29 novembre 2013
Pensa GLAM Wiki Conference - Empowering GLAMsIolanda Pensa
Iolanda Pensa, 100'000 institutions on the Wikimedia projects: A strategy to activate in a simple way all the institutions around the world, pre-recorded contribution to the conference GLAM Wiki Conference 2023, Uruguay, 10/11/2023.
Keynote talk for the Baltic Audiovisual Archival Council conference 2018 - 7-9 November in Tallinn, Estonia
http://www.baacouncil.org/cnf-2018
Presentation description:
Since the mid-2000s, cultural institutions around the world have worked together with Wikimedia volunteers in hundreds of collaboration projects. In these GLAM-Wiki projects, cultural organizations make their collections and specialized knowledge more widely accessible via the free encyclopedia Wikipedia and the free media repository Wikimedia Commons. In the past five years, Wikidata (Wikimedia's free, multilingual knowledge base) has gained a lot of influence in this area as well. As a very accessible and re-usable structured data and semantic web project, it has become a popular instrument for cultural institutions to publish collections as Linked Open Data, obtain multilingual data, place their collections in a much broader context, and enrich their collections with crowdsourced metadata. In 2017-19, Wikimedia Commons is also enhanced with structured data from Wikidata, with much improved APIs that make more smooth collaboration in GLAM-Wiki projects possible.
This keynote presentation provides a short overview of GLAM-Wiki collaborations and their impact, with special attention for the potential and use of Linked Open Data via Wikidata and via structured data on Wikimedia Commons. It includes examples of GLAM-Wiki projects by audiovisual archives and collections around the world.
From Catalogue 2.0 to the digital humanities: exploring the future of librari...Sally Chambers
This document discusses the evolving role of libraries and librarians in supporting digital scholarship and the digital humanities. It describes how traditional cataloguing tools like MARC are changing to incorporate new metadata standards and linked data. Research libraries' engagement with research infrastructures has been low but is increasing as opportunities arise in areas like research data management, digital repositories, and scholarly communication. The document argues libraries have important roles to play in discovery, data management, and as embedded partners supporting digital humanities researchers and their evolving needs. Collaboration between libraries and digital humanities centers is highlighted as a way to advance both fields.
Slides for the GLAM Panel at WikidataCon 2019 in Berlin, 25. October 2019, on the role of Wikidata within data ecosystems extending beyond the realm of Wikimedia projects. Authors: Susanna Ånäs (Finland); Mike Dickison (New Zealand); Joachim Neubert (Germany); Beat Estermann (Switzerland).
I Linked Open Data nei Beni Culturali, alcuni progetti e casi di studioCulturaItalia
Maria Emilia Masci, Scuola Normale Superiore, Linked Open Data (LOD): Un’Opportunità per il Patrimonio Culturale Digitale, Roma, ICCU, 29 novembre 2013
This document discusses various efforts to rewrite and improve access to history and knowledge through open collaboration on Wikipedia and related projects. It mentions initiatives like Wikipedia Primary School, which aims to provide information to complete primary education curriculums on Wikipedia. It also discusses the importance of using open licenses to enable collaboration and ensuring content on Wikipedia and other Wikimedia projects is freely reusable and editable by all. Overall, the document advocates for more contributions of content and translations from diverse communities and institutions to make knowledge on Wikipedia as inclusive and accessible as possible.
In order for museums to truly reap the benefits of publishing their collections online in a sustainable way, PACKED vzw presents the results of its Linked open data project as a best practice guide for the Flemish heritage sector.
100,000 institutions on the Wikimedia projectsIolanda Pensa
Pensa, Iolanda. 100,000 institutions on the Wikimedia projects. A new strategy to activate in a simple way all the institutions around the world, Wikimania Singapore, 18/08/2023, CC BY-SA 4.0. Presentation with the participation of Dario Crespi.
Maarten Brinkerink and Johan Oomen (Netherlands Institute for Sound and Vision, NL) will talk about Waisda?, an open source video labeling game framework developed by Sound and Vision[3], which is currently being developed further in the context of Europeana.[4] Sound and Vision has collaborated with several public broadcasters in the Netherlands to enable fans of certain programmes to contribute fine-grained description of this content. In the latest edition called ‘Spotvogel’ (Mockingbird) Sound and Vision collaborated with the nature TV programme ‘Vroege Vogels’ (Early Birds, by the VARA) to mobilize the online community around the programme for identifying flora, fauna and locations within specific segments of the broadcasts. To support the tagging of the flora and fauna the game utilized a controlled vocabulary that is maintained by Naturalis. Players are awarded points when their tag entries match with other players, and they can score bonus points for using ‘professional’ terms from the controlled vocabulary. Players can also earn badges for certain achievements within the game, for instance for identifying a certain number of birds. Up until now the game managed to gather over 240,000 tags.
Connected Open Heritage - John Andersson; Executive Director, Wikimedia SverigeRCAHMW
Gwella strwythur a chwiliadwyedd gwybodaeth am dreftadaeth ddiwylliannol ddisymud ledled y byd yw nod y prosiect Treftadaeth Agored Gysylltiedig. Buom yn gweithio i gynnwys gwybodaeth wedi’i chyd-destunoli ar Wikipedia; delweddau newydd a hanesyddol ar Wikimedia Commons; a data strwythuredig ar Wikidata.
Yn ystod y cyflwyniad byddwn ni’n siarad am rai o’r heriau a’r gwersi a ddysgwyd wrth brosesu casgliad unigryw o setiau ddata o 50 o wledydd, gweithio i ryddhau setiau data newydd, darganfod ffyrdd o gadw’r casgliad yn gyfoes, a chreu methodolegau i’w gwneud hi’n bosibl i roi’r data ar Wikidata ar ffurf safonedig a strwythuredig.
Improving the structure and searchability of immovable cultural heritage information from around the world is what the Connected Open Heritage project has been trying to achieve. We have worked to include contextualized information on Wikipedia; new and historical images on Wikimedia Commons; and structured data on Wikidata.
During the presentation we will talk about some of the challenges and lessons gathered while working with processing a world-unique collection of datasets from 50 countries, working to release new datasets, finding ways to keep it up-to-date, and creating the methodologies for the data to be added to Wikidata in a standardized and structured form.
Linked Open Data Publications through Wikidata & Persistent Identification...PACKED vzw
In order for museums to truly reap the benefits of publishing their collections online in a sustainable way, PACKED vzw presents the results of its Linked open data project as a best practice guide for the Flemish heritage sector.
Museums in Flanders are contributing their artwork data to Wikidata to make it available to a broader audience. The data, including persistent identifiers and links to external authorities, was uploaded under a CC0 license. This provides benefits like low costs, increased reach through Wikipedia, and placing the works in a wider context. Museums can now get back an RDF export of the data and see their works integrated in the linked open data cloud. Next steps include adding more detail to artist biographies and correcting any errors or duplicates in the data.
From digital to social collections. A short story of collections online.Elena Lagoudi
Digital collections have evolved from being object-oriented to being people-oriented. Early digital collections in the 1960s-2000s focused on digitization, cataloging and making collections available online. However, even then there was a recognition that digital collections should serve communities of users and prioritize searchability. The rise of web 2.0 in the 2000s enabled greater user participation, sharing and social interactions around digital collections. This led museums to embrace more open and inclusive digital collections. Now, digital curators work to make collections discoverable, meaningful, responsive and interoperable through the use of standards and by facilitating connections between collections, users and communities.
The document discusses community building in the digital humanities from an Australasian perspective. It covers the digital humanities landscape and projects, infrastructures and virtual research environments, and tactics for community building. The key points are that digital humanities is interdisciplinary and research-driven, utilizes computational methods, and exists within existing humanities structures. Examples discussed include the Aus-e-lit literature object reuse tool and virtual research environments that enable accessing and analyzing digital materials. Community building is important for opening up interpretations to broader audiences and developing information analysis skills for large social and cultural data sets.
Open Cultural Data: Where is the value?Milena Popova
This document discusses open cultural data and its value. It provides background information and describes how Europeana has released over 30 million digitized cultural records like text, images, audio and video under open licenses since 2012. This open data is fueling code reuse through tools and hackathons. Partnerships with Wikimedia and GLAM institutions are encouraging global reuse of open content. Case studies demonstrate apps and competitions generating new ideas and applications in areas like tourism, education and entertainment that leverage Europeana's open cultural data. Future opportunities exist in growing open datasets and a stronger startup culture in Europe.
Navigating a sea of stories: new online resources from the JISC Digitisation ...PaolaMarchionni
A presentation on a selection of newly launched digital resources funded by the JISC digitisation programme 2007-2009. Also covers some of the key issues for digitisation projects.
Contributing to the global commons: Repositories and WikimediaNick Sheppard
There is huge potential for universities and their libraries to leverage Wikimedia in order to expose research outputs and collections. Wikimedia comprises sixteen projects in total, including Wikipedia, Wikimedia Commons and Wikidata. At the University of Leeds, the Research Data Management Service have successfully run a project that focuses on linking research data with the Wikimedia suite of tools via a series of ‘editathons’, in order to increase the visibility of research data and enable reuse on Wikipedia and elsewhere. The project - "Manage it locally to share it globally: RDM and Wikimedia Commons" - was the winning submission to a competition launched in May 2018 and sponsored by SPARC Europe, Jisc and the University of Cambridge, called the "Data Management Engagement Award", which aimed to address cultural challenges involved in promoting effective research data practices.
The project has served as a springboard to further explore Wikimedia strategically, both at the University of Leeds and across the White Rose Consortium. For example we are collaborating on a new project looking at Wikipedia citations of research from York, Sheffield and Leeds, and the proportion of these that are open access. The long term goal might be to establish a "Wikimedian in Residence" across the consortium. In this talk, we will present the project's outputs - including a toolkit that will enable other institutions to apply the same methodology. In addition we will explore the potential of Wikidata to link up repositories and other data silos in a manner that enables reuse and increases impact.
Digital Cultural Heritage and the new EU Framework Programmelocloud
2nd LoCloud CY Awareness Event at the Ministry of Education and Culture.
Presentation delivered by Marinos Ioannides, Cyprus University of Technology
Cyprus
5 March 2014
This document discusses open cultural data and its value. It begins by providing background on Europe's cultural heritage and the uneven pace of digitization. It then describes how Europeana launched an experimental pilot in 2012 releasing over 2.4 million open cultural objects and later 20 million objects under Creative Commons licenses. The document explores where value is created from open cultural data, including through code reuse, partnerships, and infrastructure. It provides case studies on tools developed with Wikimedia, app competitions, and Europeana projects. It concludes by discussing future opportunities around growing open datasets and viable niche applications in tourism, education, and other markets.
This document discusses automatic publication of library data under the linked data paradigm. It provides an overview of key concepts like open data, linked open data, and the semantic web. It also describes the ALIADA project which aims to develop an open source application to help libraries and museums automatically publish metadata as linked open data. This will allow their collections to be more accessible and interoperable online.
PACKED advocates for open data in the cultural heritage sector. They discuss infrastructure for publishing open data, including using persistent URI's and platforms like Wikidata. They provide training on topics like data cleaning and enrichment. Their goal is to help cultural institutions share their collections as open data by developing tools like CultURIze and advocating for more open infrastructures.
The King Baudouin Foundation collection is dispersed across many institutions. They worked with Wikimedia to publish the collection on Wikimedia platforms by normalizing the data to make it linkable using identifiers.
The Flemish Art Collection's Arthub and Datahub platforms aim to automate sharing collection data between applications using pipelines. The Datahub centrally stores
PACKED advocates for open data in the cultural heritage sector. They discuss infrastructure for publishing open data, including using persistent URI's and platforms like Wikidata. PACKED provides training on open data topics and helps cultural institutions publish collections. Their goal is to make more data available and reusable while addressing challenges like inconsistent data formats across institutions. The Flemish Art Collection discusses their work to aggregate collection data from different museums into a central Datahub and publish it through their Arthub portal. They aim to improve data quality and automate sharing to open up more collections.
Wikipedia at "Heritage Commons", the conference of the Italian Presidency of ...Iolanda Pensa
This document discusses the role of Wikipedia and its community in supporting cultural heritage organizations. It provides examples of cultural works, buildings, and collections that have been documented on Wikipedia and Wikimedia Commons through photographs uploaded under Creative Commons licenses. These open licenses allow reuse of the media even for commercial purposes, thereby increasing access to cultural heritage. Institutions are encouraged to provide authorizations and metadata to facilitate uploading photographs of monuments and adding open data about heritage collections on Wikipedia.
In 2018 the ‘Strategy for culture in the digital age’ was published by the Flemish minister of culture. The culture sector is exploring open data to improve access of their collections for diverse groups of users. PACKED has researched, developed and published data, tools and strategies using open source and open data as a lever for building a sustainable digital memory. Aside from sharing our projects, results and peeking at the new challenges that lie ahead, we provide a platform for two of our partners to showcase projects which were set up in collaboration with PACKED:
-The King Baudouin Foundation collaborated with PACKED in order to open up their collections on Wikimedia plaftorms
-The Flemish Art Collection presents the Datahub and Arthub projects, which gives the public access to the visual arts in Flanders and facilitates (re-)use
- PACKED advocates for open data in the cultural heritage sector through various projects and training. They developed CultURIze, a tool to help small museums assign persistent URIs to collection items.
- The King Baudouin Foundation shares collection data on Wikimedia platforms like Wikidata to make it more accessible. Challenges include normalizing data from different sources and systems.
- The Flemish Art Collection's Arthub and Datahub projects aim to publish collection data as open data through APIs and formats. An ETL pipeline extracts, transforms and loads data from various museum databases into a central repository for reuse.
Pensa-OS-ADM Open Science for arts, design and music at HES-SOIolanda Pensa
Iolanda Pensa, Le partage des données dans les domaines artistiques in Open research data: pratiques et défis pour les domaines artistiques Design et Arts visuels Musique et Arts de la scène, HES-SO, online 16/05/2024, CC BY 4.0.
This document discusses various efforts to rewrite and improve access to history and knowledge through open collaboration on Wikipedia and related projects. It mentions initiatives like Wikipedia Primary School, which aims to provide information to complete primary education curriculums on Wikipedia. It also discusses the importance of using open licenses to enable collaboration and ensuring content on Wikipedia and other Wikimedia projects is freely reusable and editable by all. Overall, the document advocates for more contributions of content and translations from diverse communities and institutions to make knowledge on Wikipedia as inclusive and accessible as possible.
In order for museums to truly reap the benefits of publishing their collections online in a sustainable way, PACKED vzw presents the results of its Linked open data project as a best practice guide for the Flemish heritage sector.
100,000 institutions on the Wikimedia projectsIolanda Pensa
Pensa, Iolanda. 100,000 institutions on the Wikimedia projects. A new strategy to activate in a simple way all the institutions around the world, Wikimania Singapore, 18/08/2023, CC BY-SA 4.0. Presentation with the participation of Dario Crespi.
Maarten Brinkerink and Johan Oomen (Netherlands Institute for Sound and Vision, NL) will talk about Waisda?, an open source video labeling game framework developed by Sound and Vision[3], which is currently being developed further in the context of Europeana.[4] Sound and Vision has collaborated with several public broadcasters in the Netherlands to enable fans of certain programmes to contribute fine-grained description of this content. In the latest edition called ‘Spotvogel’ (Mockingbird) Sound and Vision collaborated with the nature TV programme ‘Vroege Vogels’ (Early Birds, by the VARA) to mobilize the online community around the programme for identifying flora, fauna and locations within specific segments of the broadcasts. To support the tagging of the flora and fauna the game utilized a controlled vocabulary that is maintained by Naturalis. Players are awarded points when their tag entries match with other players, and they can score bonus points for using ‘professional’ terms from the controlled vocabulary. Players can also earn badges for certain achievements within the game, for instance for identifying a certain number of birds. Up until now the game managed to gather over 240,000 tags.
Connected Open Heritage - John Andersson; Executive Director, Wikimedia SverigeRCAHMW
Gwella strwythur a chwiliadwyedd gwybodaeth am dreftadaeth ddiwylliannol ddisymud ledled y byd yw nod y prosiect Treftadaeth Agored Gysylltiedig. Buom yn gweithio i gynnwys gwybodaeth wedi’i chyd-destunoli ar Wikipedia; delweddau newydd a hanesyddol ar Wikimedia Commons; a data strwythuredig ar Wikidata.
Yn ystod y cyflwyniad byddwn ni’n siarad am rai o’r heriau a’r gwersi a ddysgwyd wrth brosesu casgliad unigryw o setiau ddata o 50 o wledydd, gweithio i ryddhau setiau data newydd, darganfod ffyrdd o gadw’r casgliad yn gyfoes, a chreu methodolegau i’w gwneud hi’n bosibl i roi’r data ar Wikidata ar ffurf safonedig a strwythuredig.
Improving the structure and searchability of immovable cultural heritage information from around the world is what the Connected Open Heritage project has been trying to achieve. We have worked to include contextualized information on Wikipedia; new and historical images on Wikimedia Commons; and structured data on Wikidata.
During the presentation we will talk about some of the challenges and lessons gathered while working with processing a world-unique collection of datasets from 50 countries, working to release new datasets, finding ways to keep it up-to-date, and creating the methodologies for the data to be added to Wikidata in a standardized and structured form.
Linked Open Data Publications through Wikidata & Persistent Identification...PACKED vzw
In order for museums to truly reap the benefits of publishing their collections online in a sustainable way, PACKED vzw presents the results of its Linked open data project as a best practice guide for the Flemish heritage sector.
Museums in Flanders are contributing their artwork data to Wikidata to make it available to a broader audience. The data, including persistent identifiers and links to external authorities, was uploaded under a CC0 license. This provides benefits like low costs, increased reach through Wikipedia, and placing the works in a wider context. Museums can now get back an RDF export of the data and see their works integrated in the linked open data cloud. Next steps include adding more detail to artist biographies and correcting any errors or duplicates in the data.
From digital to social collections. A short story of collections online.Elena Lagoudi
Digital collections have evolved from being object-oriented to being people-oriented. Early digital collections in the 1960s-2000s focused on digitization, cataloging and making collections available online. However, even then there was a recognition that digital collections should serve communities of users and prioritize searchability. The rise of web 2.0 in the 2000s enabled greater user participation, sharing and social interactions around digital collections. This led museums to embrace more open and inclusive digital collections. Now, digital curators work to make collections discoverable, meaningful, responsive and interoperable through the use of standards and by facilitating connections between collections, users and communities.
The document discusses community building in the digital humanities from an Australasian perspective. It covers the digital humanities landscape and projects, infrastructures and virtual research environments, and tactics for community building. The key points are that digital humanities is interdisciplinary and research-driven, utilizes computational methods, and exists within existing humanities structures. Examples discussed include the Aus-e-lit literature object reuse tool and virtual research environments that enable accessing and analyzing digital materials. Community building is important for opening up interpretations to broader audiences and developing information analysis skills for large social and cultural data sets.
Open Cultural Data: Where is the value?Milena Popova
This document discusses open cultural data and its value. It provides background information and describes how Europeana has released over 30 million digitized cultural records like text, images, audio and video under open licenses since 2012. This open data is fueling code reuse through tools and hackathons. Partnerships with Wikimedia and GLAM institutions are encouraging global reuse of open content. Case studies demonstrate apps and competitions generating new ideas and applications in areas like tourism, education and entertainment that leverage Europeana's open cultural data. Future opportunities exist in growing open datasets and a stronger startup culture in Europe.
Navigating a sea of stories: new online resources from the JISC Digitisation ...PaolaMarchionni
A presentation on a selection of newly launched digital resources funded by the JISC digitisation programme 2007-2009. Also covers some of the key issues for digitisation projects.
Contributing to the global commons: Repositories and WikimediaNick Sheppard
There is huge potential for universities and their libraries to leverage Wikimedia in order to expose research outputs and collections. Wikimedia comprises sixteen projects in total, including Wikipedia, Wikimedia Commons and Wikidata. At the University of Leeds, the Research Data Management Service have successfully run a project that focuses on linking research data with the Wikimedia suite of tools via a series of ‘editathons’, in order to increase the visibility of research data and enable reuse on Wikipedia and elsewhere. The project - "Manage it locally to share it globally: RDM and Wikimedia Commons" - was the winning submission to a competition launched in May 2018 and sponsored by SPARC Europe, Jisc and the University of Cambridge, called the "Data Management Engagement Award", which aimed to address cultural challenges involved in promoting effective research data practices.
The project has served as a springboard to further explore Wikimedia strategically, both at the University of Leeds and across the White Rose Consortium. For example we are collaborating on a new project looking at Wikipedia citations of research from York, Sheffield and Leeds, and the proportion of these that are open access. The long term goal might be to establish a "Wikimedian in Residence" across the consortium. In this talk, we will present the project's outputs - including a toolkit that will enable other institutions to apply the same methodology. In addition we will explore the potential of Wikidata to link up repositories and other data silos in a manner that enables reuse and increases impact.
Digital Cultural Heritage and the new EU Framework Programmelocloud
2nd LoCloud CY Awareness Event at the Ministry of Education and Culture.
Presentation delivered by Marinos Ioannides, Cyprus University of Technology
Cyprus
5 March 2014
This document discusses open cultural data and its value. It begins by providing background on Europe's cultural heritage and the uneven pace of digitization. It then describes how Europeana launched an experimental pilot in 2012 releasing over 2.4 million open cultural objects and later 20 million objects under Creative Commons licenses. The document explores where value is created from open cultural data, including through code reuse, partnerships, and infrastructure. It provides case studies on tools developed with Wikimedia, app competitions, and Europeana projects. It concludes by discussing future opportunities around growing open datasets and viable niche applications in tourism, education, and other markets.
This document discusses automatic publication of library data under the linked data paradigm. It provides an overview of key concepts like open data, linked open data, and the semantic web. It also describes the ALIADA project which aims to develop an open source application to help libraries and museums automatically publish metadata as linked open data. This will allow their collections to be more accessible and interoperable online.
PACKED advocates for open data in the cultural heritage sector. They discuss infrastructure for publishing open data, including using persistent URI's and platforms like Wikidata. They provide training on topics like data cleaning and enrichment. Their goal is to help cultural institutions share their collections as open data by developing tools like CultURIze and advocating for more open infrastructures.
The King Baudouin Foundation collection is dispersed across many institutions. They worked with Wikimedia to publish the collection on Wikimedia platforms by normalizing the data to make it linkable using identifiers.
The Flemish Art Collection's Arthub and Datahub platforms aim to automate sharing collection data between applications using pipelines. The Datahub centrally stores
PACKED advocates for open data in the cultural heritage sector. They discuss infrastructure for publishing open data, including using persistent URI's and platforms like Wikidata. PACKED provides training on open data topics and helps cultural institutions publish collections. Their goal is to make more data available and reusable while addressing challenges like inconsistent data formats across institutions. The Flemish Art Collection discusses their work to aggregate collection data from different museums into a central Datahub and publish it through their Arthub portal. They aim to improve data quality and automate sharing to open up more collections.
Wikipedia at "Heritage Commons", the conference of the Italian Presidency of ...Iolanda Pensa
This document discusses the role of Wikipedia and its community in supporting cultural heritage organizations. It provides examples of cultural works, buildings, and collections that have been documented on Wikipedia and Wikimedia Commons through photographs uploaded under Creative Commons licenses. These open licenses allow reuse of the media even for commercial purposes, thereby increasing access to cultural heritage. Institutions are encouraged to provide authorizations and metadata to facilitate uploading photographs of monuments and adding open data about heritage collections on Wikipedia.
In 2018 the ‘Strategy for culture in the digital age’ was published by the Flemish minister of culture. The culture sector is exploring open data to improve access of their collections for diverse groups of users. PACKED has researched, developed and published data, tools and strategies using open source and open data as a lever for building a sustainable digital memory. Aside from sharing our projects, results and peeking at the new challenges that lie ahead, we provide a platform for two of our partners to showcase projects which were set up in collaboration with PACKED:
-The King Baudouin Foundation collaborated with PACKED in order to open up their collections on Wikimedia plaftorms
-The Flemish Art Collection presents the Datahub and Arthub projects, which gives the public access to the visual arts in Flanders and facilitates (re-)use
- PACKED advocates for open data in the cultural heritage sector through various projects and training. They developed CultURIze, a tool to help small museums assign persistent URIs to collection items.
- The King Baudouin Foundation shares collection data on Wikimedia platforms like Wikidata to make it more accessible. Challenges include normalizing data from different sources and systems.
- The Flemish Art Collection's Arthub and Datahub projects aim to publish collection data as open data through APIs and formats. An ETL pipeline extracts, transforms and loads data from various museum databases into a central repository for reuse.
Pensa-OS-ADM Open Science for arts, design and music at HES-SOIolanda Pensa
Iolanda Pensa, Le partage des données dans les domaines artistiques in Open research data: pratiques et défis pour les domaines artistiques Design et Arts visuels Musique et Arts de la scène, HES-SO, online 16/05/2024, CC BY 4.0.
Open access, Creative Commons e Wikipedia per le istituzioni culturaliIolanda Pensa
Iolanda Pensa, Open access, Creative Commons e Wikipedia per le istituzioni culturali, within the webinar programme "Conversioni" curated by Eleonora Pantò and organised by "Sapere digitale" directed by Augursta Giovannoni, online, 26/03/2024.
Open access, Creative Commons e Wikipedia per le istituzioni culturali
Sempre più musei, archivi e biblioteche nel mondo aprono i loro contenuti a vantaggio dei cittadini, rendendo disponibili le riproduzioni digitali delle loro collezioni in pubblico dominio e rilasciando la loro produzione di ricerca e materiali educativi con licenze libere. Questa presentazione raconta il progetto Empowering Italian GLAMs che ha invitato nel 2022-2024 tutti i musei italiani nell’adottare l’open access e mostra una serie di visualizzazioni che permettono di osservare il patrimonio e le istituzioni culturali italiane sui progetti Wikimedia e in particolare su Wikidata e Wikimedia Commons.
Iolanda Pensa, OS-ADM Open Science for Arts Design and Music for swissuniversities 2023. OA Panel on Insights and Learnings Based on the Intermediary Reviews: Projects OA Calls 211, 212 and 221, swissuniversities, online, 17/10/2023.
The document discusses several resources related to provenance research, decolonization of museums, and the restitution of cultural artifacts. It provides links to websites about the definition of museums, a French government report on returning African cultural heritage, digital collections from Benin and West Africa, and international resources on Holocaust-era provenance research. It also links to pages on indigenous rights, care of collections, and decolonizing knowledge. The photos depict artworks and exhibitions related to issues of cultural heritage, colonialism, and repatriation.
The participation at future Wikimania. Iolanda Pensa (introduction and moderator) with Phoebe Ayers, Gnangarra, Martin Rulsch and Maciej Artur Nadzikiewicz, Wikimania Singapore, 19/08/2023, CC BY-SA 4.0.
Pensa-Open Access e comunicazione istituzionale.pdfIolanda Pensa
Iolanda Pensa. (2023, May 17). Open access e comunicazione istituzionale. Open Science for Arts Design and Music (OS-ADM), SUPSI Mendrisio. Zenodo. https://doi.org/10.5281/zenodo.7944427
Iolanda Pensa, Wikipedia, Festival della luceIolanda Pensa
Iolanda Pensa, Wikipedia in Enciclopedie e cultura scientifica. La luce della conoscenza, Festival della Luce, Biblioteca Comunale “P. Borsellino”, Como 05/05/2023.
Con 20 miliardi di visualizzazioni al mese, oltre 300 versioni linguistiche e una comunità di migliaia di contributori, Wikipedia è sicuramente la più grande e più consultata enciclopedia della storia, ed è anche la prima ad avere un tasto “modifica” e una licenza libera. Nessuno avrebbe mai immaginato che un’enciclopedia aperta alla modifica di chiunque, gratuita e senza pubblicità, e rilasciata con licenza libera sarebbe sopravvissuta e cresciuta, ma dopo più di 20 anni di storia Wikipedia dimostra che un progetto così visionario - oggi accompagnato da strumenti altrettanto potenti come la banca dati Wikidata - è in realtà possibile e sostenuto nel mondo da persone e istituzioni.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
HCL Notes und Domino Lizenzkostenreduzierung in der Welt von DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-und-domino-lizenzkostenreduzierung-in-der-welt-von-dlau/
DLAU und die Lizenzen nach dem CCB- und CCX-Modell sind für viele in der HCL-Community seit letztem Jahr ein heißes Thema. Als Notes- oder Domino-Kunde haben Sie vielleicht mit unerwartet hohen Benutzerzahlen und Lizenzgebühren zu kämpfen. Sie fragen sich vielleicht, wie diese neue Art der Lizenzierung funktioniert und welchen Nutzen sie Ihnen bringt. Vor allem wollen Sie sicherlich Ihr Budget einhalten und Kosten sparen, wo immer möglich. Das verstehen wir und wir möchten Ihnen dabei helfen!
Wir erklären Ihnen, wie Sie häufige Konfigurationsprobleme lösen können, die dazu führen können, dass mehr Benutzer gezählt werden als nötig, und wie Sie überflüssige oder ungenutzte Konten identifizieren und entfernen können, um Geld zu sparen. Es gibt auch einige Ansätze, die zu unnötigen Ausgaben führen können, z. B. wenn ein Personendokument anstelle eines Mail-Ins für geteilte Mailboxen verwendet wird. Wir zeigen Ihnen solche Fälle und deren Lösungen. Und natürlich erklären wir Ihnen das neue Lizenzmodell.
Nehmen Sie an diesem Webinar teil, bei dem HCL-Ambassador Marc Thomas und Gastredner Franz Walder Ihnen diese neue Welt näherbringen. Es vermittelt Ihnen die Tools und das Know-how, um den Überblick zu bewahren. Sie werden in der Lage sein, Ihre Kosten durch eine optimierte Domino-Konfiguration zu reduzieren und auch in Zukunft gering zu halten.
Diese Themen werden behandelt
- Reduzierung der Lizenzkosten durch Auffinden und Beheben von Fehlkonfigurationen und überflüssigen Konten
- Wie funktionieren CCB- und CCX-Lizenzen wirklich?
- Verstehen des DLAU-Tools und wie man es am besten nutzt
- Tipps für häufige Problembereiche, wie z. B. Team-Postfächer, Funktions-/Testbenutzer usw.
- Praxisbeispiele und Best Practices zum sofortigen Umsetzen
Programming Foundation Models with DSPy - Meetup SlidesZilliz
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Main news related to the CCS TSI 2023 (2023/1695)Jakub Marek
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Project Management Semester Long Project - Acuityjpupo2018
Acuity is an innovative learning app designed to transform the way you engage with knowledge. Powered by AI technology, Acuity takes complex topics and distills them into concise, interactive summaries that are easy to read & understand. Whether you're exploring the depths of quantum mechanics or seeking insight into historical events, Acuity provides the key information you need without the burden of lengthy texts.
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Taking AI to the Next Level in Manufacturing.pdfssuserfac0301
Read Taking AI to the Next Level in Manufacturing to gain insights on AI adoption in the manufacturing industry, such as:
1. How quickly AI is being implemented in manufacturing.
2. Which barriers stand in the way of AI adoption.
3. How data quality and governance form the backbone of AI.
4. Organizational processes and structures that may inhibit effective AI adoption.
6. Ideas and approaches to help build your organization's AI strategy.
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Pensa-FOSDEM-2024_V2.pdf
1. Wikimedia projects and OpenStreetMap
as an Open Research Infrastructure
Iolanda Pensa, iolanda.pensa@supsi.ch
senior research and head of Culture and territory research area at SUPSI - Institute of Design
chair Wikimedia Italia
February 2024, FOSDEM, Bruxelles, CC BY-SA 4.0
2. Wikimedia Commons
Immagini e video
WikiData
collegamenti interwiki e
informazioni statistiche
Wikipedia
400 milioni di lettori
280 versioni linguistiche
70.000 volontari
30 milioni di articoli
Wikisource
Documenti,
pubblicazioni e
manoscritti
I PROGETTI WIKIMEDIA
//////////////////////////
I contenuti dei progetti Wikimedia
sono liberi. Chiunque può usarli e
modificarli per fini commerciali e non
(citando la fonte e condividendoli con
la stessa licenza Creative Commons).
Wiki voyage
Informazioni turistiche
OpenStreetMap
Mappa con dati georeferenziati
Wikipedia and the Wikimedia projects are websites managed by online communities. Last update February 2024 https://stats.wikimedia.org/#/all-projects
Wikimedia Foundation is the institution supporting Wikipedia and the Wikimedia projects and managing their servers.
Data items that anyone can edit
Open linked data
108 million items
Under the open tool CC0
Wikidata
Wikimedia Commons
OpenStreetMap
Wikisource
Wikivoyage
the free worldwide travel guide
that you can edit.
License CC BY-SA
A freely usable map built by a
community of mappers that contribute
and maintain data about roads, trails,
cafés, railway stations, and much
more, all over the world.
freely usable media files to which anyone can contribute
100 million files
Files in public domain, CC0, CC BY, CC BY-SA and similar
the free library that anyone can
improve
Wikipedia
the free encyclopedia that anyone can edit
60 million articles
326 linguistic editions
29 billion visualisations per month
110 million registered users
300’000 active contributors
Open license CC BY-SA 3.0
a non-profit library of millions of free books, movies, software, music, websites
Internet Archive
An existing, open and free ecosystem of resources maintained by open multilingual international communities of volunteers
Files in public
domain, CC0, CC
BY, CC BY-SA
and similar
3. Connected to the world
and multilingual
Active communities of
contributors
(Citizen science)
Contributing in
fi
lling
the knowledge gaps
Content available for
any reuse
An existing, open and free ecosystem of resources maintained by open multilingual international communities of volunteers
FAIR principles
(Quality of data)
Open Access
(for GLAMs and research)
CARE principles
(Responsibilities and ethics)
Sustainability
(Open data/software)
Open Government
(Public money public data)
Impressive visibility
and access
5. 2015
Mietchen D, Hagedorn G,Willighagen
E, Rico M, Gómez-Pérez A,Aibar E,
Rafes K, Germain C, Dunning A,
Pintscher L, Kinzler D (2015) Enabling
Open Science:Wikidata for Research
(Wiki4R). Research Ideas and
Outcomes doi: 10.3897/rio.1.e7573
2019
Farda-Sarbas, M & Müller-Birn, C
(2019) Wikidata from a Research
Perspective - A Systematic Mapping
Study of Wikidata
2022
Zhao , F (2022) A systematic review of
Wikidata in Digital Humanities
projects. Digital Scholarship in the
Humanities, 2023, 38, 852–874 https://
doi.org/10.1093/llc/fqac083
Advance access publication 28
December 2022
Recommendations about the use of
Wikidata in DH digital humanities:
1. Utilize domain sources in
comparison or complement with
Wikidata […] Wikidata serves as a
supplement to domain-speci
fi
c
resources and is a signi
fi
cant
resource for projects that require
niche or cross-domain resources.
2. Encourage domain communities to
co-develop practices, tactics, and
strategies to interact with Wikidata.
3. Design work
fl
ows that coordinate
technical and labour resources from
projects and Wikidata.A work
fl
ow
design that optimizes technical
support from both Wikidata and
the project’s technicians, as well as
the human participation of domain
experts, project users, and
crowdsourcing forces on Wikidata
or the project’s own platforms is
essential for taming Wikidata’s
ambivalent nature and maximizing
its potentials for DH initiatives.
Create Wiki4R an innovative virtual
research environment (VRE) for Open
Science at scale, engaging both
professional researchers and citizen
data scientists in new and potentially
transformative forms of collaboration.
It is based on the realizations that
1. the structured parts of the Web
itself can be regarded as aVRE
2. such environments depend on
communities,
3. closed environments are limited in
their capacity to nurture thriving
communities.
Wiki4R will therefore integrate
Wikidata, the multilingual semantic
backbone behind Wikipedia, into
existing research processes to enable
transdisciplinary research and reduce
fragmentation of research in and
outside Europe.
It might be valuable to see more use
cases from other disciplines, such as
social sciences or humanities. It might
be valuable, for example, to use
Wikidata in educational or museum
settings.
6. Advantages
1. Infrastructure for images, data,
sources, audio, content, documents,
maps
2. Heritage, museums, GLAMs (and
GLAMs have to produce research)
3. Visualizing and monitoring
knowledge
Challenges
1. Copyright management and
restrictions to public domain -
Authorizations and procedures
2. Collaborating :)
3. Expertise to scale
Wikimedia projects and OpenStreetMap as an Open Research Infrastructure
for arts, humanities and social sciences
In the examples please refer to the Wikidata item to access source code and full credits
7. Spaces of culture, creativity and expression of Ticino on OpenStreetMap – I luoghi di cultura, creatività ed espressione del
Ticino su OpenStreetMap – Try the edit button / Prova il tasto modi
fi
ca, 2018.
Wikidata:Q124403789
Project page on Wikipedia in Italian with list based on Wikidata of cultural spaces
Database provided by the Ticino Canton in Switzerland
Project page on Wikipedia in Italian with a list of cultural and artistic spaces More data uploaded on OpenStreetMap
1. Infrastructure for images, data, sources, audio, content, documents, maps
8. The countries promoting the contest Wiki Loves Monuments 2010-2013 and documenting with a total of 900’000 images cultural heritage around the world, 2014, cc by-sa.
2. Heritage - Wiki Loves Monuments international contest
9. Visualizations by DenstiyDesign (Politecnico di Milano) / Wikimedia Italia CC BY 26 March 2023 - https://data.wikilovesmonuments.it
Data-driven community engagement per Wiki Loves Monuments, 2022. Wikidata:Q117287812
10. Visualizations by DenstiyDesign (Politecnico di Milano) / Wikimedia Italia CC BY 26 March 2023 - https://data.wikilovesmonuments.it
Data-driven community engagement per Wiki Loves Monuments, 2022. Wikidata:Q117287812
11. Visualizations by DenstiyDesign (Politecnico di Milano) / Wikimedia Italia CC BY 26 March 2023 - https://data.wikilovesmonuments.it
Data-driven community engagement per Wiki Loves Monuments, 2022. Wikidata:Q117287812
12. Current results of the project Empowering Italian GLAMs updated November 2023 https://meta.wikimedia.org/wiki/Empowering_Italian_GLAMs
Visualizations by DenstiyDesign (Politecnico di Milano) / Wikimedia Italia CC BY 26 March 2023 - https://data.wikilovesmonuments.it
2. GLAMs - Empowering Italian GLAMs
6.810 Wikidata item
Data monitored and
improved
Combined with national
Italian statistics and
information related to
wikiGLAM projects
215 new
museums…
230 museums started the
form
113 museums have
endorsed the project
47 institutions have
shared images
16 institutions which did
not want to participate
8 institutions withdrew
from the process
1.134 museums already
involved by Wikimedia
Italia in Wiki Loves
Monuments
5 case studies
Museo Egizio
Museums of Reggio Emilia
Museums of Modena
Ecomuseo delle Grigne
Museo delle Marionette
di Palermo
And a series of qualitative
interviews with other
museums
4.344 museums
contacted
Number of museums
added to the database of
contacts and contacted
Email sent by Region
(
fi
rst round). Second
round planned for
September
Empowering Italian GLAMs / Tutti
i musei su Wikipedia, 2022-2024
Wikidata:Q114454495
14. Tommaso Messina with Enrico Bertacchini, Empowering Italian GLAMs, https://public.tableau.com/views/monitoraggio_0_3/overview?:language=it-
IT&:display_count=n&:origin=viz_share_link, January 2024
15. Wikipedia and the Italian school – Wikidata:Q117279813 - https://itwiki-scuola-italiana.toolforge.org/?lang=en
Wikipedia and the school in Uruguy – Wikicurrícula Uy – Wikidata:Q124041029 – https://wikicurricula.wikimedistas.uy/
3.Visualizing and monitoring knowledge
16. Wikipedia and the Italian school – Wikidata:Q117279813 - https://itwiki-scuola-italiana.toolforge.org/?lang=en
Wikipedia and the school in Uruguy – Wikicurrícula Uy – Wikidata:Q124041029 – https://wikicurricula.wikimedistas.uy/
17. Wikipedia Primary School, visualization by Giovanni Profeta and Iolanda Pensa, https://meta.wikimedia.org/wiki/Wikipedia_Primary_School, cc by-sa, 2015 and 2016.
Wikidata:Q117379085
18. Taking a photo of a monument and uploading it on Wikipedia.Wikipedia under the free license Creative Commons attribution share alike, allowing commercial use.
Photo uploaded Better knowledge for anyone,
also for commercial purposes.
1. Copyright management and authorizations
19. Really, taking a photo of a monument and uploading it on Wikipedia.Wikipedia under the free license Creative Commons attribution share alike, allowing commercial use.
Authorization
from the owner
List of monuments
Georeferentiating
the monument
Authorization
from the artist
Authorization from institutions
overseeing heritage
Photo uploaded Better knowledge for anyone,
also for commercial purposes.
20. Authorization to access
the building or the
artwork and take photos
Rights of the
photographer
Other legislations
Rights of authors
Rights of photographers
Rights of the artist or
architect which has
produced the artwork or
the building
Owner
Restrictions related to
commercial use of digital
reproductions
√ Authorization of the
photographer (CC0, CC
BY, CC BY-SA)
Upload on Wikimedia
Commons by the
photographer (selecting
the open license or tool)
√ No reproduction rights
√ The owner allows to
enter the building and
take photos
√ > 70 years after his/her
death
√ Freedom of panorama
for exteriors
√ Authorization
√ Legislations without
restrictions
√ Freedom of panorama
for exteriors
√ Authorizations
The complexity of opening cultural heritage
Identify heritage
Access to a database of
cultural heritage
√ Access to a database in
CC0 with upload on
Wikidata
√ Creation of a new
database on WikiData
21. ! Mobile A2K
Culture and Safety in Africa
Mobile Access to Knowledge: Culture and Safety in Africa. Documenting and assessing the impact of cultural events and public
art on urban safety, 2011-2013 - Wikidata:Q117288467
Culture and Safety in Africa, 2015-2017. - Wikidata:Q117287742 - All content released under the CC BY-SA all license
22. Categories on Wikimedia Commons Items on Wikidata
Articles on Wikipedia in French
Articles on Wikipedia in English
List on Wikipedia in English
Images on Wikimedia Commons
Alioum Moussa, La passerelle, Bessengue, Douala Cameroon, 2005, produced by doual’art.
23. Permissions - Wikimedia Commons <permissions-commons@wikimedia.org>
I hereby assert that I am the creator and/or sole owner of the exclusive
copyright of WORK [ insert link ].
I agree to publish that work under the free license Creative Commons
attribution share-alike 3.0.
I acknowledge that I grant anyone the right to use the work in a commercial
product, and to modify it according to their needs.
I am aware that I always retain copyright of my work, and retain the right to be
attributed in accordance with the license chosen. Modi
fi
cations others make to
the work will not be attributed to me.
I am aware that the free license only concerns copyright, and I reserve the
option to take action against anyone who uses this work in a libelous way, or in
violation of personality rights, trademark restrictions, etc.
I acknowledge that I cannot withdraw this agreement, and that the work may or
may not be kept permanently on a Wikimedia project.
DATE, NAME OF THE COPYRIGHT HOLDER
24.
25. Wikimedia Commons
Immagini e video
WikiData
collegamenti interwiki e
informazioni statistiche
Wikipedia
400 milioni di lettori
280 versioni linguistiche
70.000 volontari
30 milioni di articoli
Wikisource
Documenti,
pubblicazioni e
manoscritti
I PROGETTI WIKIMEDIA
//////////////////////////
I contenuti dei progetti Wikimedia
sono liberi. Chiunque può usarli e
modificarli per fini commerciali e non
(citando la fonte e condividendoli con
la stessa licenza Creative Commons).
Wiki voyage
Informazioni turistiche
OpenStreetMap
Mappa con dati georeferenziati
Wikipedia and the Wikimedia projects are websites managed by online communities. Last update February 2023 https://stats.wikimedia.org/#/all-projects
Wikimedia Foundation is the institution supporting Wikipedia and the Wikimedia projects and managing their servers.
Data items that anyone can edit
Open linked data
102 million items
Under the open tool CC0
Wikidata
Wikimedia Commons
OpenStreetMap
Wikisource
Wikivoyage
the free worldwide travel guide
that you can edit.
License CC BY-SA
A freely usable map built by a
community of mappers that contribute
and maintain data about roads, trails,
cafés, railway stations, and much
more, all over the world.
freely usable media files to which anyone can contribute
90 million files
Files in public domain, CC0, CC BY, CC BY-SA and similar
the free library that anyone can
improve
Wikipedia
the free encyclopedia that anyone can edit
60 million articles
331 linguistic editions
25 billion visualisations per month
200 million registered users
300’000 active contributors
Open license CC BY-SA 3.0
a non-profit library of millions of free books, movies, software, music, websites
Internet Archive
2. Collaborating - Working with rules, policies and communities
Files in public
domain, CC0, CC
BY, CC BY-SA
and similar
No original research (WP:NOR)
Declare con
fl
icts of interest and potential con
fl
icts of interest (WP:COI)
Neutral point of view (WP:NPOV)
Encyclopedic content only (notable WP:N)
If Wikipedia doesn’t know it, probably most people don’t know it
Carful with bunch applauds!
Careful in margining content!
Use existing proprieties
Make sure content is open or it has a clear
open license (in the source or send an of
fi
cial
permission)!
Carful with bunch applauds!
Careful in margining content!
Check proprieties
Don’t add relevant data only on
your personal Umap :(
26. In the mirror of the past:
rediscovering identity and form
in antiquity.The graphic corpus of
TitoVespasiano Paravicini
between Renaissance and neo-
Renaissance
Wikidata:Q124401882
3. Expertise to scale
27. Advantages
1. Infrastructure for images, data,
sources, audio, content, documents,
maps
2. Heritage, museums, GLAMs (and
GLAMs have to produce research)
3. Visualizing and monitoring
knowledge
Challenges
1. Copyright management and
restrictions to public domain -
Authorizations and procedures
2. Collaborating :)
3. Expertise to scale
Wikimedia projects and OpenStreetMap as an Open Research Infrastructure
for arts, humanities and social sciences
In the examples please refer to the Wikidata item to access source code and full credits
29. Upload on
Wikimedia
Commons
Create
appropriate
categories
following good
practices
Connect
categories to
Wikidata
Connect
Wikidata with
categories
Content on Wikimedia Commons
Clearing of rights and preparing the authorizations
Agreement on the use open licenses and tools
Presenting the initiative on Wikimedia Commons / meta-wiki
Add an image
to Wikidata (and
Wikipedia) is not
available
Visualize
and monitor
the availability of
images on
Wikidata
30. Upload,
improve and
curate data on
Wikidata
Query data or
export data for
queries
Visualize and
analyze data
Collect new data
Export
data and code
and archive them
permanently
with a DOI
Wikidata as an Open Research Infrastructure
Agreement on the open tool CC0
Presenting the initiative on Wikidata / meta-wiki
Monitor
changes on
Wikidata and
participate in
discussions
Update the
presentation
online with the
results
Invite
communities to
contribute
31. Make
a list of
keywords and
key concepts
related to the
research
Check on
Wikipedia the
existence of
related articles
Analyze
the quality of
related articles
(images,
references,
text)
Eventually
create new
articles based on
the literature
review
Identify
relevant sources
(literature
review)
Background knowledge on Wikipedia
Agreement on the use open licenses and tools
Presenting the initiative on Wikipedia / meta-wiki
Monitore
changes on
Wikipedia and
participate in
discussions Improve
existing articles
based on sources
YES
Use Wikipedia to develop and
share the literature review
Cite the work of others
NO
Do not use Wikipedia to
strengthen the visibility of your
own theory
32. The Wikimedia and OpenStreetMap projects are websites based on Free and open software (https://wikitech.wikimedia.org/wiki/
Wikitech:Cloud_Services_Terms_of_use#4.3_Open_Source_and_proprietary_software).All their data (texts, images, transcriptions, maps, liked data)
are available with open tools and licenses (such as public domain, CC0, CC BY, CC Y-SA and alike, in accordance with the Berlin Declaration).These
websites already produce citizen science: Wikidata hosts structured data created, uploaded and integrated by communities; Wikisource hosts
documents and texts digitalized, shared, transcribed and reviewed by communities; OpenStreetMaps allows to visualize geographical data collected
and updated by communities which are event trained by the UN and even intervene during emergencies;Wikipedia communicates science and refers
to scienti
fi
c literature and Wikimedia Commons collects images and multimedia
fi
les created or uploaded by the communities.
These are the largest open data infrastructures in the world and the largest communities already active and involved in the production of open data
and open software.
At the moment researchers tend to use the content of the Wikimedia projects and OpenStreetMap as a source of information for their research
(liked open data from Wikidata, images from Wikimedia Commons, texts from Wikipedia and Wikisource and background maps from
OpenStreetMap). Collaboration is rarely reciprocal: researchers do not usually enrich data on these websites and do not use these infrastructure to
for queries. When uploading data on the Wikimedia projects and OpenStreetMap, this activity is only considered as dissemination, without
acknowledging its value for the co-production of research and for developing reproducible data analysis.
Using a free, existing research infrastructure already maintained by wide communities is an effective and sustainable strategy to produce open science,
make data fully accessible and co-produce with citizens new content, fully available for reuse and new research. Basing research queries on these
platforms allows to reproduce them; content changes over time, but it is always possible to reproduce queries focusing on speci
fi
c timeframes.
This presentation focuses on data related to cultural heritage supporting studies in the
fi
elds of museology, art, art history and history of architecture.
It refers to examples drawn from the experience of Italian cultural heritage visualizations based on Wikidata and Wikimedia Commons (produced
within the project Wiki Loves Monuments in Italy https://data.wikilovesmonuments.it/), from the experience of improving data about over 4000 Italian
museums (produced within the project Empowering Italian GLAMs https://meta.wikimedia.org/wiki/Empowering_Italian_GLAMs), from the upload of
cultural sites of the Ticino region in Switzerland, from the upload of works of the architect Tito Vespasiano Paravicini and public art of Douala in
Cameroon.
Wikimedia projects and OpenStreetMap as an Open
Research Infrastructure
33. The Wikimedia and OpenStreetMap projects are an existing
free software infrastructure that already produces citizen
science and can be used by researchers to share and co-
produce data and to produce - and reproduce - the results of
research. The presentation speci
fi
cally refers to the potential
of data related to cultural heritage for studies in the
humanities and in particular in museology, art, art history and
history of architecture.
Iolanda Pensa, chair Wikimedia Italia / SUPSI,
February 2024, FOSDEM, Bruxelles, CC BY-SA 4.0
Wikimedia projects and OpenStreetMap as an Open
Research Infrastructure