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The Open Data Editor is now ready for the pilot phase

This week saw the release of version 1.1.0 of the Open Data Editor (ODE), the new Open Knowledge Foundation’s app that makes it easier for people with little to no technical skills to work with data. The app is now ready to enter a crucial phase of user testing.

Are you a developer? Help us test the Open Data Editor!

The Open Knowledge Foundation is looking for four developers with Python and React JS skills to test the Open Data Editor (ODE) desktop application between October and November and help us improve its functionality. 

Data Package version 2.0 is out!

Thanks to the generous support of NLnet, now Data Package includes features that were often requested throughout the years and improves extensibility for domain-specific implementations.

Open Data Editor: 5 tips for building data products that work for people

As announced in January, this year the Open Knowledge Foundation (OKFN) team is working to develop a stable version of the Open Data Editor (ODE) application. Thanks to financial support from the Patrick J. McGovern Foundation, we will be able to create a no-code tool for data manipulation and publishing that is accessible to everyone, […]

Announcement of strategic funding for the Open Data Editor

We are pleased to announce that the Open Knowledge Foundation has been selected as a grantee of the Patrick J. McGovern Foundation, marking a significant milestone for the development of the Open Data Editor (ODE) application, a tool that will unlock the power of data for key groups, including scientists, journalists and data activists.

Frictionless specs update

Originally published on: https://frictionlessdata.io/blog/2023/11/15/frictionless-specs-update/ We are very pleased to announce that thanks to the generous support of NLnet we have kickstarted the Frictionless specifications update. After a first discussion with the community in the last call, we are setting up a working group to help us with the v2 release. Taking into account the group’s concerns about the […]

New Release: Problematising Strategic Tension Lines in the Digital Commons

As a part of our exploration of the open movement, last May, we hosted a workshop with a small group of the movement’s leaders. It was co-organised by our partners at Open Future and Wikimedia Europe. The convening built up on what was found out in Shifting Tides – quality research about the state of the movement conducted […]

Combining Data Skills, Knowledge, and Networks to Save our Planet

Originally published on: https://frictionlessdata.io/blog/2022/03/09/save-our-planet/ During these past tumultuous years, it has been striking to witness the role that information has played in furthering suffering: misinformation, lack of data transparency, and closed technology have worsened the pandemic, increased political strife, and hurt climate policy. Building on these observations, the team at Open Knowledge Foundation are refocusing […]

100+ Conversations to inspire our new direction

It has been almost two decades since OKFN was founded. Back then, the open movement was navigating uncharted waters, with hope and optimism. We created new standards, engaged powerful actors and achieved change in government, science and access to knowledge and education, unleashing the power of openness, collaboration and community in the early digital days. […]

Thank you for Joining the Frictionless Data Hackathon

Last week people from around the world joined the Frictionless Data team for the world’s first Frictionless Data Hackathon. Find out what happened, and make sure you join the Frictionless Data Community to find out about upcoming events. Watch video here What’s this about? The team at Open Knowledge Foundation have lots of experience running […]

Register your Interest: Open Knowledge Justice Programme Community Meetups

What’s this about? The Open Knowledge Justice Programme is kicking off a series of free, monthly community meetups to talk about Public Impact Algorithms. Register here. Who is this for? Do you want to learn more about Public Impact Algorithms? Would you like to know how to spot one, and how they might affect the […]

Welcome Livemark – the New Frictionless Data Tool

We are very excited to announce that a new tool has been added to the Frictionless Data toolkit: Livemark. What is Frictionless? Frictionless Data is a set of specifications for data and metadata interoperability, accompanied by a collection of software libraries that implement these specifications, and a range of best practices for data management. The […]

Launching the new website for The Justice Programme

Today we are excited to share with you the new website for The Justice Programme www.thejusticeprogramme.org. A few months ago we made the decision to build a dedicated website for the project because the range of activities and services has grown. We want our partners to easily find out what we are doing, and how […]

OK Justice Programme secures definitive guidance on the use of algorithms in online exams. Our first win in the fight to ensure that Public Impact Algorithms do no harm!

An independent inquiry adopts nearly all of our recommendations in our first challenge to the misuse of Public Impact Algorithms. Strong guidance given to the UK’s Bar Standards Board on the use of “remote proctoring software” which should now guide others’ use of this technology.   About The Justice Programme  The Justice Programme is a […]

Unveiling the new Frictionless Data documentation portal

Have you used Frictionless Data documentation in the past and been confused or wanted more examples? Are you a brand new Frictionless Data user looking to get started learning?  We invite you all to visit our new and improved documentation portal. Thanks to a fund that the Open Knowledge Foundation was awarded from the Open […]

Open Knowledge Justice Programme challenges the use of algorithmic proctoring apps

Today we’re pleased to share more details of the Justice Programme’s new strategic litigation project: challenging the (mis)use of remote proctoring software.   What is remote proctoring? Proctoring software uses a variety of techniques to ‘watch’ students as they take exams. These exam-invigilating software products claim to detect, and therefore prevent, cheating. Whether this software can […]

How we are improving the quality and interoperability of Frictionless Data

As we announced in January, the Open Knowledge Foundation has been awarded funds from the Open Data Institute to improve the quality and interoperability of Frictionless Data. We are halfway through the process of reviewing our documentation and adding new features to Frictionless Data, and wanted to give a status update showing how this work […]

What is a public impact algorithm?

Meg Foulkes discusses public impact algorithms and why they matter. “When I look at the picture of the guy, I just see a big Black guy. I don’t see a resemblance. I don’t think he looks like me at all.” This is what Robert Williams said to police when he was presented with the evidence […]

Partnering with ODI to improve Frictionless Data

In the framework of the Open Data Institute’s fund to develop open source tools for data institutions, the Open Knowledge Foundation (OKF) has been awarded funds to improve the quality and interoperability of Frictionless Data. In light of our effort to make data open and accessible, we are thrilled to announce we will be partnering […]

Dryad and Frictionless Data collaboration

By Tracy Teal; originally posted in the Dryad blog: https://blog.datadryad.org/2020/11/18/frictionless-data/ Guided by our commitment to make research data publishing more seamless and also re-usable, we are thrilled to partner with Open Knowledge Foundation and the Frictionless Data team to enhance our submission processes. Integrating the Frictionless Data toolkit, Dryad will be able to directly provide feedback to authors on […]

Do we trust the plane or the pilot? The problem with ‘trustworthy’ AI

On April 8th 2019, the High-Level Expert Group on AI, a committee set up by the European Commission, presented the Ethics Guidelines for Trustworthy Artificial Intelligence. It defines trustworthy AI through three principles and seven key requirements. Such AI should be: lawful, ethical and robust, and take into account the following principles: Human agency and […]

Announcing the New Frictionless Framework

By Evgeny Karev & Lilly Winfree Frictionless Framework We are excited to announce our new high-level Python framework, frictionless-py: https://github.com/frictionlessdata/frictionless-py. Frictionless-py was created to simplify overall user-experience for working with Frictionless Data in Python. It provides several high-level improvements in addition to many low-level fixes. Read more details below, or watch this intro video by […]

An update from the 2020 Frictionless Tool Fund grantees

We are excited to share project updates from our 2020 Frictionless Data Tool Fund! Our five grantees are about half-way through their projects and have written updates below to share with the community. These grants have been awarded to projects using Frictionless Data to improve reproducible data workflows in various research contexts. Read on to […]

Goodtables: Expediting the data submission and submitter feedback process

by Adam Shepherd, Amber York, Danie Kinkade, and Lilly Winfree This post, originally published on the BCO-DMO blog, describes the second part of our Frictionless Data Pilot collaboration.     Earlier this year, the Biological and Chemical Oceanography Data Management Office (BCO-DMO) completed a pilot project with the Open Knowledge Foundation (OKF) to streamline the data curation processes for oceanographic […]

Frictionless Data Monthly Virtual Hangout – 27 August

Join the Frictionless Data group for a virtual hangout on 27 August! These monthly hangouts are a casual opportunity to meet other Frictionless Data users and the main contributor team, ask questions, and learn about recent developments. We will spend extra time during this call discussing the newly-released Python code Frictionless-py https://github.com/frictionlessdata/frictionless-py and would love […]

Clarifying the semantics of data matrices and results tables: a Frictionless Data Pilot

As part of the Frictionless Data for Reproducible Research project, funded by the Sloan Foundation, we have started a Pilot collaboration with the  Data Readiness Group  at the Department of Engineering Science of the University of Oxford; the group will be represented by Dr. Philippe Rocca-Serra, an Associate Member of Faculty. This Pilot will focus […]

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