https://github.com/zbmed-semtec/masmps
Metadata model for machine-actionable Software Management Plans
https://github.com/zbmed-semtec/masmps
bioschemas metadata schemaorg smp vocabulary
Last synced: 5 months ago
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Metadata model for machine-actionable Software Management Plans
- Host: GitHub
- URL: https://github.com/zbmed-semtec/masmps
- Owner: zbmed-semtec
- License: cc-by-sa-4.0
- Created: 2022-11-29T10:39:58.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2025-04-24T16:13:52.000Z (6 months ago)
- Last Synced: 2025-04-24T16:51:45.357Z (6 months ago)
- Topics: bioschemas, metadata, schemaorg, smp, vocabulary
- Language: Jupyter Notebook
- Homepage:
- Size: 1.93 MB
- Stars: 3
- Watchers: 6
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Citation: CITATION.cff
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README
# Metadata model for machine-actionable Software Management Plans
This repository [](https://doi.org/10.5281/zenodo.14904874)
maSMP Ontology [](https://github.com/zbmed-semtec/maSMPs/blob/main/schema/maSMP_schema_v2/maSMP_v2.jsonld) [](https://discovery.biothings.io/ns/maSMP) [](#) [](https://doi.org/10.5281/zenodo.7806638)
maSMP Profiles [](https://github.com/zbmed-semtec/maSMPs/blob/main/schema/maSMP_schema_v2/maSMP_profiles_v2.jsonld) [](https://discovery.biothings.io/ns/maSMPProfiles) [](#) [](https://doi.org/10.5281/zenodo.10582121)
This project corresponds to an extension of the Research Data Alliance (RDA) [machine-actionable Data Management Plan (maDMP)](https://github.com/RDA-DMP-Common/RDA-DMP-Common-Standard) application profile and its corresponding DMP Common Standard ontology (DCSO) in order to cover the case of [ELIXIR Software Management Plans (SMPs)](https://doi.org/10.37044/osf.io/k8znb). Similar to DMPs, SMPs help formalize a set of structures and goals that ensure the software is accessible and reusable in the short, medium and long term. Although targeting the life sciences community, most of the elements of the ELIXIR SMPs are domain agnostic and could be used by other communities as well. DMPs and SMPs can be presented as text-based documents, sometimes guided by a set of questions corresponding to key points related to the lifecycle of either data or software. The RDA DMP Common Standards working group defined a maDMP to overcome limitations of text-based documents. We propose a similar path for the ELIXIR SMPs so they turn into machine-actionable SMPs (maSMPs).
Our maSMP metadata schema has been updated thanks to crosswalks and discussions at hackathons organized by the SemTec team at ZB MED
* [Workshop machine-actionable Software Management Plans](https://doi.org/10.5281/zenodo.8087357) 2023.05.31 - alignment to [Bioschemas ComputationalTool](https://bioschemas.org/profiles/ComputationalTool/), [CodeMeta terms](https://codemeta.github.io/terms/), Max Plank Digital Library SMP, [ELIXIR SMPs](https://doi.org/10.37044/osf.io/k8znb) and [eScience Centre SMP guideline](https://zenodo.org/record/7248877#.Y4XeHXaZOUk)
* [NFDI4DS hackathon on maSMPs](#) 2023.11.28 to 2023-12-01 - alignment to Max Plank Digital Library SMP, [ELIXIR SMPs](https://doi.org/10.37044/osf.io/k8znb), [SOMEF](https://github.com/KnowledgeCaptureAndDiscovery/somef) and [DataCite Metadata Schema 4.4 - OutputManagementPlan](https://doi.org/10.14454/3w3z-sa82)
The [current version 2.1.0 of our maSMP](https://discovery.biothings.io/ns/maSMP) has been created with the [Data Discovery Engine (DDE)](https://discovery.biothings.io/).
## Related links
* Additional Information available at our [GitHub Pages](https://zbmed-semtec.github.io/maSMPs/)
* [DDE maSMP metadata](https://discovery.biothings.io/ns/maSMP)
## Relevant sources
* [RDA machine-actionable Data Management Plan (maDMP)](https://github.com/RDA-DMP-Common/RDA-DMP-Common-Standard)
* [ELIXIR Software Management Plans (SMPs)](https://doi.org/10.37044/osf.io/k8znb)
* [Practical guide to Software Management Plans](https://zenodo.org/record/7248877#.Y4XeHXaZOUk)
## Acknowledgements
This project is part of the NFDI4DataScience project funded by the German Research Foundation (DFG), project number 460234259. This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101017536 and its initial phase (from 2022.12.01 to 2023.05.31) was part of the Research Data Alliance and European Open Science Cloud Future call 2022. This project has been supported by the Good Practices Focus Group part of the ELIXIR Tools Platform. Part of the work presented here has been developed during ELIXIR BioHackathon Europe 2022 and 2023, and NFDI4DS hackathon on maSMPs at ZB MED 2023.
### Contributors
We acknowledge feedback received from ELIXIR Tools Platform Good Practices Focus Group (Renato Alves, Dimitrios Bampalikis, José M.Fernández [ORCID:0000-0002-4806-5140](https://orcid.org/https://orcid.org/0000-0002-4806-5140), Eva Martín del Pico [ORCID:0000-0001-8324-2897](https://orcid.org/0000-0001-8324-2897), Fotis Psomopoulos [ORCID:0000-0002-0222-4273](https://orcid.org/0000-0002-0222-4273), and Allegra Via [ORCID:0000-0002-3398-5462](https://orcid.org/0000-0002-3398-5462)), and from participants in the NFDI4DS hackathon on maSMPs at ZB MED 2023 (Esteban Gonzalez [ORCID:0000-0003-4112-6825](https://orcid.org/0000-0003-4112-6825), Yves Vincent Grossmann [ORCID:0000-0002-2880-8947](https://orcid.org/0000-0002-2880-8947), Mariaisabel Gonzalez-Ocanto [ORCID:0000-0001-5485-9724](https://orcid.org/0000-0001-5485-9724), Carlos Utrilla Guerrero [ORCID:0000-0002-9994-1462](https://orcid.org/), Thomas Pronk [ORCID:0000-0001-9334-7190](https://orcid.org/0000-0001-9334-7190), David Wallace [ORCID:0000-0001-8958-4601](https://orcid.org/0000-0001-8958-4601), Jürgen Windeck [ORCID:0000-0003-1909-4353](https://orcid.org/0000-0003-1909-4353))