The Digital Music Observatory is a fully automated, open source, open data observatory that links public datasets in order to provide a comprehensive view of the European music industry. The DMO produces key business and policy indicators that enable the growth of music business strategies and national music policies in a way that works both for music lover audiences and the creative enterprises of the sector, and contributes to a more competitive, fair and sustainable European music ecosystem.

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Our data pillars are following the structure laid out in the Feasibility study for the establishment of a European Music Observatory: Music Economy; Diversity & Circulation; Music & Society and Innovation - innovative data applications

Our Product/Market Fit was validated in the world’s 2nd ranked university-backed incubator program, the Yes!Delft AI Validation Lab. We are currently developing this project with the help of the JUMP European Music Market Accelerator program.

Follow news about us or the more comprehensive Data & Lyrics blog.

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Music is one of the most data-driven service industries where the majority of sales are already made by AI-driven autonomous systems. The DMO is a fully-functional service that can function as a testing ground of the European Data Strategy, showcasing the ways in which the music industry is affected by the problems that the Digital Services Act and the Trustworthy AI initiatives attempt to regulate. If these policies will work for the European microenterprise-dominated, complex and fragile European music ecosystem, then they are likely to make Europe fit for the digital age.

Services

Automated Data Services

Data
Curation
Data sits everywhere and it is not easy to find even at home. Our curators know where to dig.
Professional Data Processing
Uncut diamonds need to be polished. Data is only potential information, raw and unprocessed.
Metadata: Documentation & Codebooks
Adding FAIR metadata exponentially increases the value of data. We use DataCite and SDMX statistical coding.
Data-as-Service

Reusable, easy-to-import, interoperable, always fresh data in tidy formats with a modern API.
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Data Curation

We create high value key business and policy evaluation indicators. Scientific proofs require the combination of correctly matching, formatting, and verifying controlled pieces of data. Our data comes from verified and legal sources, with information about use rights and a complete history. You can always take a look at the processing code, too. We do not deal in blood diamonds.

Data Processing

We create high value key business and policy evaluation indicators. Scientific proofs require the combination of correctly matching, formatting, and verifying controlled pieces of data. Our data comes from verified and legal sources, with information about use rights and a complete history. You can always take a look at the processing code, too. We do not deal in blood diamonds.

Data-as-Service

We provide our clients with simple datasets, databases, harmonized survey data, and various other rich data applications; we provide them with continuous access to high-quality, re-processed, re-usable public sector and scientific data.

News

Demo Music Observatory highlights from Data & Lyrics

For our more comprehensive blog, please visit Data & Lyrics. For the tag cloud, visit Topics at the bottom of the page.

Pillars

Data Collection Topics

Music And Society

Valuing music and projecting royalty flows.

Music Economy

The Digital Muisc Observatory monitors the music markets with an economic methodology: we not only measure market volumes and prices, but we also measure both demand- and supply side indicators so that we can forecast future market volumes or prices.

Music Diversity & Circulation

Music diversity and circulation is a crucial policy and business goal for European music stakeholders. Most European creators work in small countries, often confined to the audiences of a not widely spoken language; moreover, they are in competition with the entire world via media platforms, streaming services and traditional record sales.

Use Cases

Data Applications, use cases, innovative uses of the data

Valuing Music

Valuing music and projecting royalty flows.

Music Reports

Reproducible (automatically refreshing) advocacy reports, valuation and grant assessment reports, regulatory filings

Smart Grants

Ex ante and ex post grant evaluation

Horizon Europe Consortium

Our open collaboration platform is looking for partners for the Horizon Europe call Towards a competitive, fair and sustainable European music ecosystem. According to our calculations, joining the Horizon Europe call with our Digital Music Observatory would alone fulfil most of the expectation set out in the Feasibility Study For The Establishment Of A European Music Observatory.

Listen Local

Listen Local is a trustworthy, ethical AI-powered system that aims to help great artists in small organizations and small countries using big data. We want to make sure that audiences are not only recommended global superhits, but locally relevant music, too. At present, corporate algorithms fail to connect listeners in small countries with music from the local scene - with artists whom the listener can easily see perform live in local venues, who sing in the listener’s language and who connect with the listener’s feelings and experiences.

Music Creators' Earning Project

Our Digital Music Observatory contributed to the Music Creators’ Earnings in the Streaming Era project with understanding the level of justified and unjustified differences in rightsholder earnings, and putting them into a broader music economy context. The entire research paper is published by the UK Intellectual Property office, and we made the details of our analysis available in a joint publication.

Music Exports & Imports

Understanding how concerts, festival audiences and recordings are crossing borders

CEEMID

CEEMID was multi-country project that was a predecessor of Reprex’s Digital Music Observatory.

Contributors of the Digital Music Observatory

Join our open collaboration team as a data curator, developer or business developer! More about contributing: Automated Observatory Contributors’ Handbook.

developers

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Daniel Antal

Data Scientist & Founder of the Digital Music Observatory

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Kasia Kulma

Contributor, data science and software engineering

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Leo Lahti

rOpenGov coordinator

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Pyry Kantanen

R package testing and data curation.

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Botond Vitos

Data scientists and developer

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Andrés García Molina, PhD

Data Scientist & Ethnomusicologist

data curators

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Dominika Semaňáková

Musicologist

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Eszter Kabai

Data curator for cultural diversity and data pooling

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Caterina Sganga

Data curator for cultural diversity and data pooling

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Hyojung Sun

Data curator for music creators' earnings

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Katie Long

Music futures and social equity data curator

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Marie Zhořová

Data curator for Listen Local

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Peter Ormosi

Music Economy & Innovation data curator

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Prof David Hesmondhalgh

Data curator for music creators' earnings

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Stef Koenis

Data curator for classical music

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Stephan Okhuijsen

Data visualization and dissemination

service development team

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Annette Wong

Contributor, digital strategist and product marketer

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Suzan Sidal

Business Case Development & Service Design

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Kátya Nagy

Music Research Assistant

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Robin Nagy

Mentor, Contributor, Business Development

institutional partners

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rOpenGov

rOpenGov network

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Datagraver

Data dissemination partner

join us

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New Curators

Future curator

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New Developers

Future co-developer

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Observatory Business Associate

Future Team Member

Recent & Upcoming Talks

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