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/>
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/>
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.
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/>