Reproducible research

This blogpost will be updated after the conference.

Reprex released the 0.2.6 version of its [dataset] R package to make data frames easier to exchange and reuse.

Publish your datasets with FAIR metadata in open science repositories and place them on knowledge graphs

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.

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.

The article utilizes the our reproducible datasets created with our regions package that provides to provides high quality indicators for the creative industries on provincial, state, regional and metropolitan area level, and builds on many years of expertise in empirical research on the field of music and audiovisual piracy, home copying and private copying compensation.

The Feasibility Study on the European Music Observatory was published on 13 November. We created a Demo Music Observatory to provide a practical guidance on the decisions facing the European stakeholders, and to answer the questions that were left open in the Feasibility Study — particularly on data quality, time to build, and costs.

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.

Our ex post survey harmonization package retroharmonize passed all automated tests and peer-reviews and was released today on CRAN.

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.