Data use and reuse: Unlocking Potential of Frictionless Data for Wikidata | OKF | #Wikimania2023

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.

**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.

Presenters: Open Knowledge Foundation's Sara Petti, Carol Matos, Shashi Gharti