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.
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 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 would like to validate our open source, open data, open collaboration based reproducible observatory concept with the Demo Music Observatory. All feedback is welcome.
We want reduce data inequalities within Western and Eastern, Northern and Southern Europe, and contribute to a transparent data observatory that is inclusive for all.