2023:Program/Open Data/GRQC3Q-Introduction to Open Data: Tools and Techniques for Data Sharing and Collaboration

Add links
From Wikimania
The following is a mirror of what are publicly available details of submission made at the call for proposal platform, Pretalx. Any changes here may be overwritten by a bot while syncing updates from Pretalx (GRQC3Q). Changes are monitored and may be updated into Pretalx if they do not change the context of the submission (i.e. correcting typographical errors).

Title: Introduction to Open Data: Tools and Techniques for Data Sharing and Collaboration

Speakers:

Jesse Asiedu-Akrofi

Wikimedian and open advocate

Joris Darlington Quarshie

Joris Darlington Quarshie is an experienced Data Scientist, Developer Advocate, and Wikimedia Tech Community Builder. He is the catalyst that brings your brand, stakeholders, data, technology and decisions together to build and deliver better products, and create delightful customer experiences, resulting in accelerated💰 growth 📈 and impact. He is a key advocate and promoter of Sustainable Development Goal 4: Promoting data science education for all. Helping bridge the technology skills gap for the underserved talents in Africa and globally is his top priority agenda. He has developed initiatives and tailored programs that drive greater inclusion and diversity in the data science, software engineering and other technological fields through providing free tech educational and professional opportunities to over 9,000+ highly deserving Africans and the black community at large. Tech communities in Ghana and Africa at large🏅 have feted Joris for his advocacy efforts and contributions to increasing the participation, inclusivity, representation and diversity of black people in the technological field, and creating robust pipelines of qualified, trained and talented tech professionals.

Abigail Afi Gbadago

Wikimedian and Software Engineer

Robert J. Obiri

As a digital engagement strategist, I have extensive experience in community management, social media strategy, campaigns, and content creation. My work is grounded in a commitment to social justice and equity, particularly with regards to feminist advocacy and open knowledge initiatives in Ghana. In my efforts to promote these causes, I volunteer regularly for projects related to nation-building. I am deeply committed to the idea that knowledge and information should be freely and openly accessible to all. This belief has led me to become an active Wikimedia projects editor, where I contribute my expertise as a recruiter and trainer for new editors. On a daily basis, I work to support Wikipedia and its sister projects, driven by a firm conviction that knowledge belongs to all and should be shared widely. Whether it’s supporting new editors, advocating for open access, or contributing to Wikipedia content, I am proud to be part of a global community that values the power of knowledge to make a positive impact

Pretalx link

Etherpad link

Room: Room 324

Start time: Tue, 15 Aug 2023 13:45:00 +0800

End time: Tue, 15 Aug 2023 14:45:00 +0800

Type: Workshop

Track: Open Data

Submission state: confirmed

Duration: 60 minutes

Do not record: false

Presentation language: en


Abstract & description[edit source]

Abstract[edit source]

This workshop is designed to provide attendees with an introduction to open data and the tools and techniques for sharing and collaborating on data, specifically for Wikimedia projects. Participants will learn how to access and analyze open data relevant to Wikimedia projects, and explore ways to leverage it for research and decision-making.

Description[edit source]

The main aim of this workshop is to introduce the concept of open data and how it can be utilized within Wikimedia projects. By the end of this workshop, participants will have gained an understanding of how open data is used in Wikimedia projects, and have hands-on experience working with real-world open data sets.

Objectives for this workshop include:

  1. Understanding the role of open data in Wikimedia projects, and the benefits it provides for contributors and users.
  2. Learning how to access and analyze open data relevant to Wikimedia projects, using tools such as Wikidata Query Service and other open data repositories.
  3. Developing skills in visualizing and interpreting data, and using it to support research and decision-making within the Wikimedia community.
  4. Understanding best practices for data sharing and collaboration within Wikimedia projects, and contributing to the open data community in a collaborative manner.

This workshop will provide participants with the skills and knowledge necessary to leverage open data for the benefit of Wikimedia projects. It will help to promote greater openness in research and data sharing and encourage collaboration within the Wikimedia community.

Further details[edit source]

Qn. How does your session relate to the event themes: Diversity, Collaboration Future?

This session relates to the event themes of Diversity, Collaboration, and Future in several ways.

Firstly, by promoting the use of open data in Wikimedia projects, this session helps to promote diversity in the sources of information available to contributors. Open data can come from a wide range of sources, including diverse perspectives and voices that may be otherwise underrepresented in traditional sources of information. By accessing and sharing open data, contributors can promote greater diversity and inclusion in Wikimedia projects.

Secondly, this session emphasizes collaboration within the Wikimedia community, by providing participants with the tools and techniques necessary to work collaboratively on open data projects. Participants will learn best practices for data sharing and collaboration within Wikimedia projects, enabling them to work more effectively with other contributors and promote greater collaboration within the community.

Finally, this session helps to shape the future of Wikimedia projects by promoting greater openness in research and data sharing. As the world becomes increasingly data-driven, it is important that Wikimedia projects keep pace and leverage the latest tools and techniques for accessing and analyzing open data. By equipping participants with these skills, this session helps to ensure that Wikimedia projects remain relevant and impactful in the future.

In conclusion, this session contributes to the event themes of Diversity, Collaboration, and Future by promoting the use of open data in Wikimedia projects, encouraging collaboration within the community, and preparing participants for the future of data-driven research and decision-making.

Qn. What is the experience level needed for the audience for your session?

Everyone can participate in this session

Qn. What is the most appropriate format for this session?

  • Tick Onsite in Singapore
  • Empty Remote online participation, livestreamed
  • Empty Remote from a satellite event
  • Empty Hybrid with some participants in Singapore and others dialing in remotely
  • Empty Pre-recorded and available on demand


Retrieved from "https://wikimania.wikimedia.org/w/index.php?title=2023:Program/Open_Data/GRQC3Q-Introduction_to_Open_Data:_Tools_and_Techniques_for_Data_Sharing_and_Collaboration&oldid=340187"