open-data

Our Datasets Should be Retrieved Cleaned and Assessed in Order to Deliver Efficient Relevant and Credible Information

Facilitating private-public partnerships is one step to encourage the data community to work with valuable open data. However, transparency and a high level quality assurance step must be given. In a joint collaboration with data curators, developers, technical specialists and academics, the datasets should be retrieved, cleaned and assessed in order to deliver efficient, relevant and credible information. The constant monitoring and regulation as well as compliance with data security guidelines are indispensable.

Comparing Data to Oil is a Cliché: Crude Oil Has to Go Through a Number of Steps and Pipes Before it Becomes Useful

Many interesting phenomena are difficult to quantify in a meaningful way and writing a catchy song with international appeal is probably more an art than a science. Nevertheless that should not deter us from trying as music, too, is bound by certain rules and regularities that can be researched.

Creating Algorithmic Tools to Interpret and Communicate Open Data Efficiently

Although there are a variety of open data sources available (and the numbers continue to increase), the availability of open algorithmic tools to interpret and communicate open data efficiently is lagging behind. One of the greatest challenges for open data in 2021 is to demonstrate how we can maximize the potential of open data by designing smart tools for open data analytics.

Economic and Environment Impact Analysis, Automated for Data-as-Service

rOpenGov, Reprex, and other open collaboration partners teamed up to build on our expertise of open source statistical software development further: we want to create a technologically and financially feasible data-as-service to put our reproducible research products into wider user for the business analyst, scientific researcher and evidence-based policy design communities. Our new release will help with automated economic impact and environmental impact analysis.

New Indicators for Royalty Pricing and Music Antitrust

For my daily tasks data would be needed for setting the price of the different licenses and, or identifying the works that were used, exploited, to properly manage the payouts to the rights holders.

The Digital Music Observatory is Contesting the EU Datathon 2021 Prize

Reprex, a Dutch start-up enterprise formed to utilize open source software and open data in open collaboration with its partners is contesting all three challenges of the EU Datathon 2021 Prizes.

Open Data

Many countries in the world allow access to a vast array of information, such as documents under freedom of information requests, statistics, datasets. In the European Union, most taxpayer financed data in government administration, transport, or meteorology, for example, can be usually re-used. More and more scientific output is expected to be reviewable and reproducible, which implies open access.

Future Audience: Size Of Music Discovery Age Populations In Europe

People usually discover new music in their young age as they are forming their own personal identity with their peer group. The size of the music discovery population has changed dramatically across Europe in the last 30 years. We placed the data in the Demo Music Observatory.

Product/Market Fit Validation in Yes!Delft

We see much interest in our offering from other continents, therefore we truly welcome the opportunity that we can do this on a truly global business canvas in one of the worlds’ top five incubators, the number 2 university-backed incubator in the world, in the Yes!Delft AI+Blockchain Validation Lab.

Launching Our Demo Music Observatory

We would like to validate our open source, open data, open collaboration based reproducible observatory concept with the Demo Music Observatory. All feedback is welcome.