Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/dataobservatory-eu/open_music_software
Open Music Europe Software Ecosystem
https://github.com/dataobservatory-eu/open_music_software
Last synced: 10 days ago
JSON representation
Open Music Europe Software Ecosystem
- Host: GitHub
- URL: https://github.com/dataobservatory-eu/open_music_software
- Owner: dataobservatory-eu
- Created: 2024-01-28T20:10:26.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-03-17T18:29:57.000Z (9 months ago)
- Last Synced: 2024-12-08T04:42:50.957Z (15 days ago)
- Language: TeX
- Size: 1.29 MB
- Stars: 0
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.Rmd
Awesome Lists containing this project
README
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
rlang::check_installed("here")
```
[](https://dataobservatory.eu/)
[](https://lifecycle.r-lib.org/articles/stages.html#experimental)
[](https://www.repostatus.org/#wip)
[](https://zenodo.org/record/6950435#.YukDAXZBzIU)
```{r setup, include=FALSE}
library(here)
knitr::opts_chunk$set(echo = FALSE,
message = FALSE,
warning = FALSE,
out.width = '90%',
fig.align = 'center')
```
[Open Music Europe](https://openmuse.eu/) 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.
```{r ome-banner}
knitr::include_graphics(here("png", "Banner_OME_Software_Ecosystem.png"))
```
_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` 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._
## Release timeline {#release-timeline}
- `2023.10.18.`: Polifonia Stakeholder Network workshop; reuse of the *Polifonia Ontology Network* and joint requirement elicitation. [polifonia-project/stories](https://github.com/polifonia-project/stories).
- `2023.10.24.`: Task description for `rSPARQL-Anything`. GitHub repository: [antaldaniel/rSPARQL-Anything](https://github.com/antaldaniel/rSPARQL-Anything).
- `2023.11.09`: *Making Datasets Truly Interoperable and Reusable in R* (working paper with software code prototypes); DOI: [10.5281/zenodo.10091666](https://doi.org/10.5281/zenodo.10091666)
- `2023.12.01.`: The KULT package - case study of retrospective harmonisation of KULT 5, 10, 11, 19. Not released (sensitive data contents); private GitHub Repo: `dataobservatory-eu/KULT`; an update of the *retroharmonize* package to 0.2.5.003.
- `2023.12.17`: The *dataset* 0.2.8 is released on CRAN; supports [Dublin Core](https://dataset.dataobservatory.eu/articles/dublincore.html), [DataCite](https://dataset.dataobservatory.eu/articles/datacite.html) and to some extent SDMX and XKOS.
- `2023.12.19.`: The *eurostat* 4.0.0 is released on CRAN to maintain usability of the background after API change in the Eurostat data warehouse. GitHub repository: [rOpenGov/eurostat](https://github.com/rOpenGov/eurostat)
- `2024.01.08.`: A new 0.9.3 release of the *iotables* on CRAN. GitHub repository: [rOpenGov/iotables](https://github.com/ropengov/iotables) to maintain compatibility with *eurostat*.
- `2024.01.09`: The *dataset* 0.3.0; co-development planning with *ontologics* (see [issue 28](https://github.com/luckinet/ontologics/issues/28)), prototype for *tuRtle*.
- `2024.01.28`: The *tuRtle* 0.1.0 is released on GitHub and Zenodo.
## Request new functionality {#request-new-functionality}
Because we aim to fill data gaps with an open-source software ecosystem so that non-technical music researchers can work with them and make them available in the Open Music Observatory, we embraced and slightly modified the requirements elicitation methodology of the Polifonia Horizon Europe project; this way we could also utilise the excellent formal ontologies and tools developed by this project for music research.
In short, we ask music stakeholders to tell our experts their data "story": what is the data problem or data gap they are struggling with now, and how they would like to change it. We write a 2-3 pages "story" about the required software components to be developed in a non-technical manner.
- `Reproducible culral policy documents`: Requirement elicitation: Stories of [Michal](https://music.dataobservatory.eu/documents/open_music_europe/dataset-development/stories/michal.html), [Ivana](https://music.dataobservatory.eu/documents/open_music_europe/dataset-development/stories/ivana.html).
- `Connecting music databases and libraries`: Story of [Natalia](https://music.dataobservatory.eu/documents/open_music_europe/dataset-development/stories/natalia.html).
- `Locally relevant playlists, rights management reporting`: Story of [Max](https://music.dataobservatory.eu/documents/open_music_europe/dataset-development/stories/max.html); [Georg](https://music.dataobservatory.eu/documents/open_music_europe/dataset-development/stories/georg.html) and [Jana](https://music.dataobservatory.eu/documents/open_music_europe/dataset-development/stories/jana.html).
Polifonia uses the *eXtreme Design* methodology complemented with some user-experience design concepts; this method utilises software design patterns and competency questions. Using software design patterns is commonplace in object-oriented languages, and work very well in OWL/RDF/Python (used in our knowledge coordination layer), but not always straightforward in functional programming. To retain the applicability of this methodology across the different layers of our software ecosystem, the new R packages developed in Open Music Europe are object-oriented, and they utilise the relatively simple but versatile S3 object-oriented class system of the R statistical ecosystem and language.
## Project background
- `2017.05.10.`: Retrieval and Analysis of Eurostat Open Data with the eurostat Package; subsequently maintained and improved through 2017-2023.
- `2018.01.30.`: The *iotables* R package first released on CRAN, adding functionality to *eurostat*.
- `2020.06.04`: The *regions* extension to is first released on CRAN; it supports the metadata reconciliation of subnational statistics and complements the usability of *eurostat*. It goes through further releases till 2021.
- `2020.09.21.`: The first CRAN release of the *retroharmonize* R package.
- `2021.06.17.`: The discontinued, orphaned *spotifyr* package is taken over by REPREX and re-released on CRAN under version 2.2.1; goes through minor changes till 2022. GitHub repository: [charlie86/spotifyr](https://github.com/charlie86/spotifyr)
- `2022.06.28`: The *statcodelists* 0.9.2 package is released on CRAN to support the further usability of the *retroharmonize* and *dataset* packages. GitHub repository: [antaldaniel/statcodelists](https://github.com/antaldaniel/statcodelists/), product website: [statcodelists](https://statcodelists.dataobservatory.eu/.
- `2022.12.02.` The *dataset* 0.1.9. prototype for inviting requirements, future contributors, and users.
- `2023.04.30.`: The _SurveyHarmonies_ system for ex-ante survey harmonisation.
- `2023.04.30.`: _Eviota_, a minimum viable product for integrated financial and sustainability reporting for music SMEs.
## Report a problem, issues, bug
- [eurostat](https://github.com/rOpenGov/eurostat/issues/): R tools to access open data from Eurostat. Data search, download, manipulation and visualization.
- [iotables](https://github.com/rOpenGov/iotables/issues/): Importing and Manipulating Symmetric Input-Output Tables (a tool for economic, social and environmental impact analysis).
- [retroharmonize](https://github.com/rOpenGov/retroharmonize/issues/): Facilitate retrospective (ex-post) harmonization of survey data in a reproducible manner.
- [dataset](https://github.com/dataobservatory-eu/dataset/issues): Create interoperable and well described data frames in R.
- [statcodelists](https://github.com/antaldaniel/statcodelists/issues): Promote the reuse and exchange of statistical information and related metadata with making the internationally standardized SDMX code lists available for the R use.
- [regions](https://github.com/rOpenGov/regions/issues): Working with Sub-national Statistics in R.
- [tuRtle](https://github.com/dataobservatory-eu/tuRtle/issues): Parse or export R data with the Turtle syntax for the Resource Description Framework (RDF).
## Code of Conduct
Please note that the all our open source components are released with a [Contributor Code of Conduct](https://contributor-covenant.org/version/2/1/CODE_OF_CONDUCT.html). By contributing to this project, you agree to abide by its terms.