AI | Antal Dániel honlapja

Open Access Music Dataspaces – Open Music Observatory

Thu, 20 Nov 2025 11:00:00 +0100

Panel topics
How does music shape the social and cultural fabric of Europe? What can patterns of music consumption reveal about policies, inclusion, and everyday life? Music is not only a mirror of culture, but also a living indicator of how communities evolve and interact. Today, the growing availability of music-related data opens new perspectives to understand the social value of music and its potential to build fairer and more sustainable ecosystems. When used responsibly, data can help policymakers, researchers, and professionals identify gaps, measure impact, and support better decision-making. By turning open data into collective knowledge, projects like OpenMusE aim to bring more transparency, visibility, and fairness to Europe’s music landscape, bridging analysis, policy, and creativity. Can data really become a common good for music? And how can openness drive the next phase of Europe’s cultural development?

The presentation introduces the Open Music Observatory (OMO), a federated, open-data infrastructure designed to repair long-standing metadata gaps in Europe’s music ecosystem. Building on the vision set by the feasibility study for the European Music Observatory, we show how fragmented, hidden, restricted, and unharmonised data can be aligned through shared standards and collaborative curation. Using Slovakia as a pilot case, we demonstrate how public and private stakeholders can jointly improve the visibility of national repertoire, reduce metadata errors that cause lost royalties, and strengthen cultural diversity in streaming and discovery systems.

We will present the OMO federation model, its Slovak deployment (SK Music Dataspace), and the ways institutions and developers can interact with the system: manual curation via Wikibase interfaces, automated ingestion through APIs, and compliant AI access through the Model Context Protocol. The talk highlights how interoperable data supports fairer recommendation systems, better attribution, improved royalty flows, and new research possibilities—illustrating how open, ethical data infrastructures can help smaller repertoires thrive in a globalised digital marketplace.

Brace for Impact: Trustworthy AI for Good

Thu, 30 Oct 2025 14:15:00 +0000

At ImpactFest 2025, Reprex joined the expert session “Brace for Impact: Trustworthy AI for Good.”
The discussion explored how knowledge graphs and open, interoperable data can empower AI and data-driven applications that serve both public good and private innovation.
This continues our long-term collaboration with ImpactFest, where Reprex won the Audience Prize in 2022.

Key Idea

Data is only as powerful as it is trustworthy. Reprex promotes the use of knowledge graphs to connect open and proprietary data in transparent, reproducible ways that benefit both business and society.

Next Steps

Develop responsible AI applications built on shared, standards-based data.
Expand partnerships with European innovators in open and trustworthy data ecosystems.

Green Paper on AI, Data Governance, and Metadata Policies for Europe’s Music Ecosystem (v0.1 Early Release)

Mon, 08 Sep 2025 00:00:00 +0000

About this Release

This Green Paper is an open consultation draft produced by the Open Music Europe consortium as part of Horizon Europe Deliverable D5.7.
It has been released early in line with the principles of Open Policy Analysis (OPA) to make the drafting process auditable, invite feedback from stakeholders, and ensure transparency.

Important: This version is not for citation in academic or policy work. A stable version with a DOI will be released later in 2025 and will serve as the basis for Deliverable D5.7 (Policy Brief) and a subsequent White Paper.

Participate

We invite stakeholders from music, cultural heritage, and AI governance communities to comment and contribute to this draft.
Please visit the Zenodo record or the Open Music Europe website for more information.

Open Music Observatory Technical Report (Versioned)

Tue, 30 May 2023 00:00:00 +0000

About this Release

This report presents the first technical foundations of the Open Music Observatory.
It was written before consortium partners supplied their datasets and before real data pipelines were stress-tested.

The document outlines the Observatory’s architecture, data governance approach, and integration strategy, but it remains an early edition.

Note: This version is preliminary and should not be cited as a final technical reference. A new, data-driven edition will be released in 2025 once the Observatory has been validated with live data from partners.

Next Steps

The upcoming edition will integrate real-world metadata, copyright, and economic indicators, stress-tested through operational pipelines, and will provide a more complete technical baseline for Europe’s music data space.

Reprex Joins The Dutch AI Coalition

Tue, 16 Feb 2021 17:10:00 +0200

Reprex, our start-up, is based in the Netherlands and the United States that validated its early products in the Yes!Delft AI+Blockchain Lab in the Hague. In 2021, we decided to join the Dutch AI Coalition – NL AIC.

The NL AIC is a public-private partnership in which the government, the business sector, educational and research institutions, as well as civil society organisations collaborate to accelerate and connect AI developments and initiatives. The ambition is to position the Netherlands at the forefront of knowledge and application of AI for prosperity and well-being. We are continually doing so with due observance of both the Dutch and European standards and values. The NL AIC functions as the catalyst for AI applications in our country.

We are particularly looking forward to participating in the Culture working group of NLAIC, but we will also take a look at the Security, Peace and Justice and the Energy and Sustainability working groups. Reprex is committed to use and further develop AI solutions that fulfil the requirements of trustworthy AI, a human-centric, ethical, and accountable use of artificial intelligence. We are committed to develop our data platforms, or automated data observatories, and our Listen Local system in this manner. Furthermore, we are involved in various scientific collaborations that are researching ideas on future regulation of copyright and fair competition with respect to AI algorithms.

We are committed to applying reproducible in an open collaboration with our business, scientific, policy and civil society partners, and facilitate the use of open data and open-source software.