2023:Program/Open Data/TPG87N-Data use and reuse: Unlocking the Potential of Frictionless Data for Wikidata

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Title: Data use and reuse: Unlocking the Potential of Frictionless Data for Wikidata

Speakers:

Sara Petti

Sara works with communities. She leads the Open Knowledge Network and manages the Frictionless Data community. She is also project manager. Sara has previously worked in EU policy research, advocacy, and communications. She has managed projects on digital education with schools and public libraries from all across Europe. Sara is an enthusiast of the open movement and strongly believes in removing barriers and opening knowledge as a means of empowering citizens and fostering democracy. She has studied comparative literature and political science, and is currently based in Bologna, Italy. She speaks English, French, Italian, and German.

Carol Matos

Carol Matos is OKFN’s Partnerships Lead from Brazil, building cooperation and connecting organizations and institutions to strengthen the open movement worldwide. With 20 years of experience coordinating cultural and educational projects, she has been serving as a liaison for a broad variety of digital communication initiatives in Brazil and Spain. With a passion for the intersection of technology and culture, she is also an art historian and obtained her PhD at Universidad Complutense de Madrid with a thesis on the impact of digital experiences in the GLAM environment. In the past years, Carolina was also a curator for open data projects in South America and with the support of Wiki Movimento Brasil, with a focus on data decolonization. She speaks English, Portuguese and Spanish and is always trying to find the most creative way to build solid and fun bridges between the digital world and people.

Shashi Gharti

Developer

Pretalx link

Etherpad link

Room: Room 324

Start time: Tue, 15 Aug 2023 16:45:00 +0800

End time: Tue, 15 Aug 2023 18:00:00 +0800

Type: No (pretalx) session type id specified

Track: Open Data

Submission state: confirmed

Duration: 75 minutes

Do not record: false

Presentation language: en

Abstract & description

Abstract

The Frictionless Data project of the Open Knowledge Foundation aims to make it easier to use and reuse data by providing a simple and standard way of describing and packaging data. During this session we will explore how Frictionless Data can be used to enhance the quality, interoperability, and sharing of data in Wikidata.

Description

Objectives

The primary objective of this lecture and the following demonstration is to introduce Wikimania 2023 participants to the use of Frictionless Data for enhancing data quality, interoperability, and sharing in Wikidata.

The lecture will cover:

• Introduction to Frictionless Data and its benefits for Wikidata
• How to use Frictionless Data to describe, validate, clean, and transform data in Wikidata
• How to use Frictionless Data to package and share data from Wikidata
• How to use Frictionless Data to integrate Wikidata with other data management tools and platforms.

The lecture will be delivered by one of the Frictionless Data core developers, who will provide a brief overview of Frictionless Data, and will explore possible synergies with Wikidata. The lecture will be followed by a live demonstration on how to describe and package data using the Frictionless Data standards, in order to make the data more interoperable. They will use Wikidata examples and other use cases for this demonstration. They will also showcase live how to describe, extract, validate, and transform data using the Frictionless Data tools, with a special focus on the newly released Frictionless Application for non-coders. The Frictionless Application will be particularly useful for the Wikidata contributors from the GLAM sector, who might be less comfortable with coding tools. This demonstration will show how the use of Frictionless Data makes it easier even for people with little or no coding experience to produce quality data and integrate Wikidata with other data management tools and platforms, such as Jupyter Notebooks and data portals (like Zenodo and GitHub).

Expected outcomes

After attending this lecture and joining the demonstration, participants will have a better understanding of how Frictionless Data can be used to enhance the quality, interoperability, and sharing of data in Wikidata. Participants will be able to apply Frictionless Data standards and tools to their own Wikidata projects, improving their data quality and interoperability. Participants will also learn how to package and share their Wikidata resources in a standardised and reusable format, making them more accessible and valuable to others. Finally, participants will gain insights into how to integrate Wikidata with other data management tools and platforms, enabling them to contribute to a more open and collaborative data ecosystem.

Conclusion

In conclusion, this lecture and demonstration on Frictionless Data for Wikidata is an essential session for anyone interested in managing and maintaining high-quality data in the platform, even if they don’t have any programming skill. Frictionless Data provides a simple and standard way of validating, cleaning, packaging, and sharing data, for both experienced programmers and contributors with none or very little coding skills, making it easier to enhance the quality, interoperability, and sharing of data in Wikidata. By attending this session, participants will gain valuable insights into how to improve their Wikidata projects, making them more accessible and valuable to others.

Further details

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

This session encourages the use of Wikidata by non-technological users, especially professionals related to the GLAM universe who constantly collaborate with the project from different parts of the world, using it as a repository for their collections.

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

Average knowledge about Wikimedia projects or activities

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

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