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Open Music Europe Software Ecosystem

Functional Requirements Elicitation and Release Timeline"
Authors: Daniel, Antal;

Open Music Europe Software Ecosystem

Abstract

This is the contribution of Reprex to the work and it is not the final description of the ecosystem. OpenMusE will pioneer new best-practice methods and tools for data collection from multiple sources, and integrate these into an open-source software ecosystem that non-specialist stakeholders can use (Open Music Europe 2023). Our ambition is to create an ecosystem of statistical software that is interoperable with the systems of ESSnet via the widely-used R statistical environment. On the basis of this ecosystem, we are planning a complementary, decentralised music data and intelligence hub that is complementary to both the centralised functions of the future [European Music Observatory] (EMO) and the ESSnet. This intelligence hub, the Open Data Observatory, has a service level similar to that of the Eurostat Rest API (high-quality data and visualisation products with various statistical quality control available in a Rest API meeting Dublin Core, DataCite, and SDMX interoperability standards). In addition, the Open Data Observatory will fill the gaps in the offering provided by Eurostat and the ESSnet network,due to their non-music specific mandate and cost/benefit analysis.

Keywords

statistics, R programming language

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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