Open-GLAM April 2024

open-glam@lists.wikimedia.org

4 participants
5 discussions

"OpenRefine for Wikimedia Commons: the basics" in Spanish and French
by Giovanna Fontenelle 02 May '24

02 May '24

Hello everyone, A few weeks ago, we announced the course on the learning platform, WikiLearn, on how to upload and edit files on Wikimedia Commons using OpenRefine: *OpenRefine for Wikimedia Commons: the basics* <https://learn.wiki/courses/course-v1:Wikimedia-Foundation+WMF_GLAM001+2023/…> . Today, we are happy to announce two translations of the course: Spanish and French! - OpenRefine para Wikimedia Commons: conceptos básicos <https://app.learn.wiki/learning/course/course-v1:Wikimedia-Foundation+WMF_G…> (Spanish / Español) - OpenRefine pour Wikimedia Commons : les bases <https://app.learn.wiki/learning/course/course-v1:Wikimedia-Foundation+WMF_G…> (French, Français) This course can be easily translated into other languages (more about the translation process here <https://studio.learn.wiki/meta_translations/discover_courses/> and here <https://commons.wikimedia.org/wiki/File:Tutorial_on_how_to_translate_course…>). More translations, such as Italian, Portuguese, and Basque, are being worked on. Just like the English course, the Spanish and French versions are available at any time, for free. You only need a Wikimedia account and the course can be followed at your own pace, with computer-graded exercises. A certificate is awarded at the end and an average of 6 to 8 hours is needed to complete the course. Please, feel free to share these translations with people who speak these languages and who you think might be interested in learning more about OpenRefine or Wikimedia Commons. Thanks, Carla Toro and Reda Kherbouche, for their amazing work translating these courses! Best, Giovanna Giovanna Fontenelle (she/her) Program Officer, Culture and Heritage Wikimedia Foundation <https://wikimediafoundation.org/>

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International Museum Day 2024 on Wikimedia: Take part in the translation, media, and data challenges!
by Giovanna Fontenelle 30 Apr '24

30 Apr '24

Hello, This May, we are celebrating the International Museum Day 2024 <https://meta.wikimedia.org/wiki/International_Museum_Day_2024> with a series of activities in which anyone can participate following this year’s theme: *Museums for Education and Research*. Individual Wikimedians, affiliates, and user groups are invited to respond to three challenges to increase museum coverage on Wikimedia: translation <https://meta.wikimedia.org/wiki/International_Museum_Day_2024/Translation_c…> , media <https://meta.wikimedia.org/wiki/International_Museum_Day_2024/Image_campaign>, and data <https://meta.wikimedia.org/wiki/International_Museum_Day_2024/Data_campaign> . 1) *Translation*: Translate the *New Definition of Museum*, launched in 2022 by ICOM, into as many languages as possible. To participate in the challenge, follow the instructions on this page <https://meta.wikimedia.org/wiki/International_Museum_Day_2024/Translation_c…> . 2) *Media*: Document museums around the world working with education and research. Upload to Wikimedia Commons photos of their events, tours, and workshops; specialist libraries and archives; accessibility resources; or conservation in progress. Follow the instructions on this page <https://meta.wikimedia.org/wiki/International_Museum_Day_2024/Image_campaign>, which includes a map of museums around the world <https://w.wiki/9kvh>. 3) *Data*: *- Structured Data on Commons*: Add or enhance the data for images of museum buildings and spaces, as well as the collections they hold, such as paintings, sculptures, photographs, historical and natural objects, and manuscripts. The data challenge page <https://meta.wikimedia.org/wiki/International_Museum_Day_2024/Data_campaign> suggests the types of data you can add, how to find images to work with, and different approaches to making edits. *- Wikidata*: Add or enhance the items about museums. The data challenge page <https://meta.wikimedia.org/wiki/International_Museum_Day_2024/Data_campaign> has queries to get started, such as museums on Wikidata without a country but with coordinates; paintings on Wikidata without an image; a list of curators by birthplace; as well as a table with a list of very important data missing from museums items on Wikidata by country. If you register on this dashboard <https://outreachdashboard.wmflabs.org/courses/International_Museum_Day/Inte…>, your edits will be counted and shared with ICOM. This page <https://meta.wikimedia.org/wiki/International_Museum_Day_2024/Participate> has guidelines for organizing events and campaigns, including some beautiful visuals <https://commons.wikimedia.org/wiki/Category:International_Museum_Day_2024>. [image: Museum Day Poster [blue].png] Wikimedia CH is also organizing a panel discussion <https://meta.wikimedia.org/wiki/International_Museum_Day_2024/Participate#W…> for May 17th, about ‘Wikimedia, Museums, and Education’, including expert speakers from the museum sector. During the month, the chapter is also launching a series of short videos about museums. Stay tuned for those! More about the *#IMD2024* on the Meta-Wiki portal <https://meta.wikimedia.org/wiki/International_Museum_Day_2024> or this Diff blog post <https://diff.wikimedia.org/2024/04/25/international-museum-day-2024-a-call-…> . Best, Giovanna Giovanna Fontenelle (she/her) Program Officer, Culture and Heritage Wikimedia Foundation <https://wikimediafoundation.org/>

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Launch of the course "OpenRefine for Wikimedia Commons: the basics"
by Giovanna Fontenelle 05 Apr '24

05 Apr '24

Hello! We are happy to announce that there is now a free and publicly accessible course on the learning platform, WikiLearn, on how to upload and edit files on Wikimedia Commons using OpenRefine: *OpenRefine for Wikimedia Commons: the basics* <https://learn.wiki/courses/course-v1:Wikimedia-Foundation+WMF_GLAM001+2023/…> . OpenRefine <https://meta.wikimedia.org/wiki/OpenRefine> is a free data-wrangling tool that can be used to process, manipulate, and clean tabular (spreadsheet) data and connect it with knowledge bases, including Wikidata and Wikimedia Commons. This online course is available at any time, for free. Anyone with a Wikimedia account can enroll with the click of a button. It can be followed at your own pace, with computer-graded exercises. A certificate is awarded at the end to those who complete the course. The training is suitable for Wikimedians, Wikimedia affiliate staff, and partners (e.g. GLAM staff and Wikimedians in Residence). Accomplishing the course should take an average of 6 to 8 hours. This course was developed as part of the Wikimedia Foundation's training and sustainability grant to OpenRefine <https://commons.wikimedia.org/wiki/Commons:OpenRefine/Training_2023-24>. It is currently available in English and can be easily translated into other languages (more about the translation process here <https://studio.learn.wiki/meta_translations/discover_courses/> and here <https://commons.wikimedia.org/wiki/File:Tutorial_on_how_to_translate_course…>). Translations for this course in French, Spanish, and Portuguese are being worked on and will be available very soon. Please, feel free to share this course with people you think might be interested in learning more about OpenRefine or Wikimedia Commons, who are part of your network, in groups, social media, or any other places. Thank you! Best, Giovanna & Sandra Giovanna Fontenelle (she/her) Program Officer, Culture and Heritage Wikimedia Foundation <https://wikimediafoundation.org/>

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Datacom 2024
by DATACOM 2024 04 Apr '24

04 Apr '24

Datacom 2024 Having trouble reading this email? Click here. [https://mjml.io] THE 8TH INTERNATIONAL CONFERENCE ON BIG DATA INTELLIGENCE AND COMPUTING (DATACOM 2024) September 9-13, 2024, Poznań, Poland VISIT WEBSITE [https://data-com.org/] Big data is a rapidly expanding research area spanning the fields of computer science and information management, and has become a ubiquitous term in understanding and solving complex problems in different disciplinary fields such as engineering, applied mathematics, medicine, computational biology, healthcare, social networks, finance, business, government, education, transportation and telecommunications. The goal of DataCom 2024 is to establish an international forum for engineers and scientists to present their ideas and experiences in the fields of Big Data intelligence and computing. DataCom 2024 welcomes paper submissions on innovative work from researchers in academia, industry and government describing original research work in Big Data. DataCom 2024 will be held on September 9-13, 2024, co-located with IOV 2024 in Poznan, Poland. Conferences will be held in hybrid mode. Topics of interest include, but are not limited to: * The 5Vs of the data landscape: volume, variety, velocity, veracity, value * Big data science and foundations, analytics, visualization and semantics * Software and tools for big data management. * Security, privacy and legal issues specific to big data * Big data economy, QoS and business models * Scientific discovery and business intelligence * Software, hardware and algorithm co-design, high-performance computing * Large-scale recommendation systems and graph analysis * Infrastructures and systems for big data analytics and managements * Middleware and tools for big data analytics and managements * Algorithmic, experimental, prototyping and implementation * Data quality issues: such as validation, metrics, optimizations and consistency * Data-driven innovation, computational modelling and data integration * Data intensive computing theorems and technologies * Big data for advanced manufacturing and productivity * Modelling, simulation and performance evaluation * Green data centers / environmental-friendly perspectives * Computing, scheduling and resource management for sustainability * Complex applications in areas where massive data is generated PUBLICATION HIGHLIGHTS Springer LNCS proceedings, indexed by * ISI Conference Proceedings Citation Index - Science (CPCI-S), included in ISI Web of Science * Scopus * EI Engineering Index * ACM Digital Library * dblp * Google Scholar Extended version of the selected papers will be invited for publication in prestigious international journals. IMPORTANT DATES Tutorial / Workshop / Special Session Proposal Due: April 29, 2024 Paper Submission (Research Track): June 10, 2024 Paper Submission (Works-in-Progress/Workshop/Extended Abstract): June 10, 2024 Author Notification (Research/workshop/WIP): July 5, 2024 Registration deadline: July 25, 2024 Camera Ready Submission: September 30, 2024 SUBMISSION & PUBLICATION Authors are invited to submit their original research work that has not previously been submitted or published in any other venue. Papers should be prepared in LNCS format and submitted via the DataCom 2024 submission page. LNCS formatting information: Learn More [http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 ] ORGANIZING COMMITTEES General Chairs * Cezary Mazurek, Poznan Supercomputing and Networking Center, Poznań, Poland * Xian-He Sun, Illinois Institute of Technology, USA Program Chairs * Bahman Javadi, University of Western Sydney, Australia * Zhibin Zheng, Sun Yat-sen University, China Demo/Workshop/Poster Chair * Anna Grocholewska-Czuryło, PUT, Poznań, Poland International Liaison & Publicity Chair * Sotiris Moschoyiannis, University of Surrey, UK * Hojjat Baghban, Chang Gung University, Taiwan * Andrzej Stroinski, Poznan University of Technology, Poland Publication Chair * Jashnil Kumar, Fiji National University, Fiji Advisory Committee * Anna Kobusinska, Poznan University of Technology, Poland * Beniamino Di Martino, Second University of Naples, Italy * Christophe Cérin, Université Paris 13, France * Rajiv Ranjan, Newcastle University, UK * Vincent S. Tseng, National Chiao-Tung University, Taiwan * Feng Xia, RMIT University, Australia * Yeh-Ching Chung, The Chinese University of Hong Kong, Hong Kong Steering Committee * Sanjay Ranka, University of Florida, USA * Robert Hsu, National Chung Cheng University, Taiwan * Manish Parashar, Rutgers University, USA * Hai Jin, HUST, China * Jie Li, University of Tsukuba, Japan * Yuanyuan Yang, Stony Brook University, USA * Shawkat Ali, University of Fiji, Fiji International Program Committee Please visit the DataCom 2024 [https://data-com.org/] for the complete listing of organizing committee and TPC members. SUBMIT PAPER [https://data-com.org/submission.html] CONFERENCE VENUE LEARN MORE [https://data-com.org/venue.html] Unsubscribe to no longer receive emails from us.

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Launch of the course "OpenRefine for Wikimedia Commons: the basics"
by Giovanna Fontenelle 04 Apr '24

04 Apr '24

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Open-GLAM April 2024