09/08, 15:30–16:10 (Poland), Warsaw (20+24)(interpretation)
Idioma: English
Open data becomes a truly collaborative resource when it is not only open, but also adheres to the FAIR principles (Findable, Accessible, Interoperable, and Reusable). It is hard for technical people to produce and publish data that is open and FAIR, it is even harder to do so for non-technical people.
Open Knowledge Foundation developed Open Data Editor, a no-code application for data publishing intended to provide all those with little to no programming skills with all the functionalities needed for high quality, interoperable data and metadata production and consumption.
Data is often hard to find, archived in difficult-to-use formats, poorly structured and/or incomplete. These issues create friction and make it difficult to use, publish and share data. Friction is also breaking the creative cycles that would make for a dynamic and attractive data ecosystem, where people can use reliable existing data, collaborate, and create innovative projects and solutions.
With this session we will first show what you need to pay attention to if you want your data to be frictionless and ready for collaboration.
We will then demonstrate how you can produce quality datasets without having to write one single line of code, thanks to a tool like Open Data Editor – a no-code forever free and open source application to explore and publish all kinds of data.
Participants will learn how to use the application to make sure all their data is quality data, that can be directly uploaded and safely stored in open repositories like Wikidata, so that it can be directly reusable by other people.
This is a hands-on session. You will come out of this demonstration with a clearer understanding of the most common data frictions and how to avoid them.
Our aim is to provide all participants with an easy-to-use tool, and the full confidence to use it.
We will also discuss with participants challenges of building technology, trying to understand all together how we can create a tool that is easy to collaborate upon.
Session recording: https://www.youtube.com/live/wLgxZTcjhjY?si=MFxyUxer9EFDU3e9&t=22276
Open data enhances collaboration by breaking down barriers to information access, enabling people to share data, access and use valuable datasets for social benefit. To unlock the full potential of open data, the quality of the data is paramount. With this session, participants will learn how to use Open Data Editor to increase the data quality of their projects, thus simplifying collaboration.
¿Cuál es el nivel de experiencia que requiere la audiencia en su sesión? –Everyone can participate in this session
¿Cómo planea realizar la sesión? –Onsite in Katowice
¿Qué otros temas o tópicos aborda su sesión? Por favor, escoja elementos de la lista de etiquetas a continuación. –Collaboration, Capacity building
Sara leads the Open Knowledge Network, which brings together experts of the open movement globally. The Network's main focus is the intersection of tech and democracy, and Sara’s role is to facilitate synergy and collaboration among the members, encouraging the sharing of best practices, and strengthening strategic alignment on topics of interest. Under her direction, the Network has grown larger and stronger. At Open Knowledge Foundation Sara also supports open source and open data communities, and is passionate about all issues linked to community care and health, like governance. Before joining Open Knowledge Foundation, she was part of a project advocating for public libraries to be on the EU agenda (notably for the review of the Copyright Directive), and was part of the team that grew Khan Academy in French.
I'm an Information Systems Engineer with more than 10 years of experience both in the private sector and NGOs. I have also been an activist of the open movement since a young age. I love programming and is always exploring new projects and tools.