If open data is the new gold, why even those who release fail to reuse it? We created an open collaboration of data curators and open-source developers to dig into novel open data sources and/or increase the usability of existing ones. We transform reproducible research software into research- as-service.
After a very thorough modernization of the package’s exception handling, documentation, and code dependencies that I did in the last week, the spotifyr package has passed again the peer-review standards and it is back on CRAN. The package is an excellent starting to point for R newbies to try their hands on musicology analysis with a few keystrokes. And of course, it is an essential part of the research infrastructure of musicology worldwide in far more advanced applications.
Live music is the breadwinner of most music professionals, artists, technicians, and managers alike, and it is a very local business. To analyze the live music economy, and its connection with the recorded music business, we need to create indicators on regional, provincial, or metropolitan area level. We just made another step to localize our Digital 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.
The making of an automated and reproducible data tool for the music industry. A short video and a brief explanation.