After a quiet first half of the year, the Frictionless community reconvened to restart its regular community calls and discuss how the project should evolve in a rapidly changing data ecosystem. We discussed strengthening community governance, improving contributor interactions even with constrained resources and identifying funding opportunities. We also discussed exploring how Frictionless can continue to provide essential open infrastructure in the age of AI.
The attendees expressed enthusiasm to invest time in the future of the project, with ideas about expanding its role in metadata, reproducible data workflows, semantic interoperability and AI-assisted data stewardship.
Open and Searchable Discussions for Frictionless Data Community
The first topic in the agenda was the suggested venue to discuss the technical future of the project. Over time, discussions have been spread across Slack, GitHub, the Open Knowledge Foundation Discuss forum and occasional community calls, making it difficult for contributors to know where design discussions belong and reducing the visibility of important conversations.
After reviewing the available options, the community considered establishing preferentially GitHub Discussions as the primary venue for Frictionless community discussions. GitHub provides searchable, long-lived conversations that sit close to the codebase and allow proposals to evolve naturally into implementation work. The Open Knowledge Foundation will take the necessary steps in that direction after checking feasibility, otherwise it would proceed with creating a forum in OKFN’s Discuss.
Slack will continue to play an important role for announcements and day-to-day coordination, but technical proposals, roadmap discussions and governance conversations should increasingly happen in GitHub Discussions or OKFN’s discuss, where they remain accessible to current and future contributors.
During the summer, once the relevant technical handover and upgrades happen, the project documentation and website will be updated to reflect this change and provide contributors with a single, clear point of engagement.
Building a more responsive community
Several contributors noted that unanswered questions discourage participation far more than fragmented communication channels. Building a culture where questions receive timely responses, even if only to acknowledge them or redirect them to the appropriate maintainer was recognised as an important priority. To strengthen coordination, Open Knowledge Foundation announced that a dedicated Community and Project Manager will begin supporting Frictionless from July onwards. This role will help coordinate meetings, support contributors, follow up on discussions and maintain momentum across the community. Other participants stepped in, indicating they can help with the questions, either answering them or redirecting them to the right person.
Alongside this, the Foundation will use the summer to prepare a lightweight governance proposal that clarifies ownership, improves community responsiveness and creates clearer pathways for contributors to become involved in maintaining and evolving the project.
Maintenance update
The community received an update on the ongoing maintenance work funded through NLnet. Updates to the Python and R libraries continue to progress and will be presented to the wider community once they reach an appropriate stage for review, during our August Community Call.
Participants agreed, however, that maintenance should not be the project’s only objective. The completion of the current work offers an opportunity to define a broader roadmap for Frictionless that can guide technical priorities and future funding proposals over the coming years.
Frictionless in the AI ecosystem
A significant part of the discussion focused on how Frictionless should evolve alongside rapidly changing AI technologies. Participants argued that AI makes Frictionless’ core strengths such as transparent metadata, reproducibility and open standards, even more valuable. High-quality metadata will increasingly determine whether AI systems produce trustworthy, reusable and explainable results.
Several themes emerged as priorities for future exploration:
- AI-assisted metadata generation;
- schema recommendation;
- semantic annotation;
- ontology integration;
- provenance and lineage;
- reproducible data workflows.
There is a strong inclination among most community members to embrace models such as public AI.
Open Data Editor
The Open Data Editor emerged as one of the most promising places to demonstrate these ideas in practice. Participants discussed how AI could assist users in creating richer metadata, recommending schemas, suggesting ontologies, identifying missing information and improving overall data quality. Such capabilities would significantly lower the barrier for researchers, public institutions and civil society organisations wishing to publish reusable datasets while maintaining the transparency and reproducibility that Frictionless promotes.
The conversation also highlighted several longer-term technical opportunities.
Participants identified semantic interoperability, stronger ontology support, provenance and lineage, interoperability with standards such as DCAT, and AI-assisted semantic annotation as promising areas for future work. These capabilities are becoming increasingly relevant not only for AI systems but also for governments, research infrastructures and organisations managing large collections of open data.
One particularly exciting proposal was the idea of creating an open repository of reusable Frictionless datasets. Inspired by software package ecosystems, contributors discussed a community platform where people could publish reusable Data Packages, share transparent processing workflows, improve one another’s work, and build demonstrations and sandboxes for teaching, experimentation and AI applications. We could create a living ecosystem of reusable open data resources.
Summer priorities
While we will not be hosting a call during July, we will be working in the background. The Open Knowledge Foundation will update project documentation to establish the primary discussion venue as well as share a lightweight governance proposal for community feedback, continue coordinating the ongoing NLnet-funded maintenance work, and begin organising volunteers around the main themes that emerged from the meeting.
Community members also volunteered to take forward several initiatives. Some offered to help improve responsiveness by acting as an additional point of contact for technical questions while governance arrangements are developed. Others also volunteered to contribute to future work on semantic metadata, ontology integration, provenance and AI-assisted annotation, proposed exploring a community repository of reusable Data Packages and processing recipes, and suggested creating focused working groups to maintain momentum between meetings.
Members will continue discussions with biomedical research initiatives interested in adopting Frictionless Data Packages and explore opportunities for collaboration around AI-assisted metadata generation for research repositories.
Alongside these activities, the community will continue identifying funding opportunities that can support not only software development but also governance, documentation, semantic interoperability, AI capabilities and long-term community stewardship.