Knowledgebase · FAIRsharing
Open & Sustainable AI Ecosytem (OSAI)
Based on the 2025 paper (https://arxiv.org/abs/2505.16619), the OSAI AI Ecosystem is a simple interactive, community-maintained digital resource. Its primary function is to serve as a practical registry that supports the implementation of Open and Sustainable AI (OSAI) principles in the life sciences. The core of the resource is a direct mapping of the paper's OSAI recommendations (for reusability, reproducibility, and environmental sustainability) to a living collection of over 300 real-world components. These components include a wide array of tools, platforms, standards, and resources that researchers can use to build more sustainable, reusable, and transparent AI. The registry is designed to help researchers "stop searching and start implementing" by allowing them to filter for resources based on their specific goals, such as finding reproducibility tools or sustainability supports. The resource is supported by an open community-maintained GitHub repository: https://github.com/BioComputingUP/OSAI_ecosystem.
- Website
- Record in FAIRsharing (doi:10.25504/FAIRsharing.47039f)
- Subjects: Artificial Intelligence, Bioinformatics, Biology, Genomics, Metabolomics, Metagenomics, Proteomics
Documentation, events and training
TeSS Training materials (1)
What is known per question
The questions of the decision tree, with what FAIRsharing says about this repository. ✓ supported, ✗ excluded, ? not known. Your own answers are marked.
What kind of data do you want to archive?
- ? Spectra
- ? Crystal structures
- ? Computational chemistry
- ? Catalysis
- ? Compounds and reactions
- ? Bioassays and chemical biology
- ? Materials and polymers
- ? Images and microscopy
- ? Something else
Subjects: Artificial Intelligence; Bioinformatics; Biology; Genomics; Metabolomics; Metagenomics; Proteomics
Does the journal or publisher you publish with require or recommend a repository?
- ? Yes
- ? No
- ? I do not know
FAIRsharing has no information on this.
Which discipline does your data belong to?
FAIRsharing has no information on this.
Which publisher?
FAIRsharing has no information on this.
Does your funder have requirements for where data is archived?
- ? Yes
- ? No
- ? I do not know
FAIRsharing has no information on this.
Which funder?
FAIRsharing has no information on this.
Does your institution offer a data repository?
- ? Yes
- ? No
- ? I do not know
FAIRsharing has no information on this.
Which institution?
FAIRsharing has no information on this.
Can your data be shared openly?
- ✓ Yes, openly available
- ? Yes, after an embargo
- ✗ Only with restrictions
Data access: open: GitHub data source - fully open with permissive licencing (CC BY 4.0)
Data deposition: controlled
How large is your dataset?
- ? Less than 1 GB
- ? 1 GB to 50 GB
- ? 50 GB to 1 TB
- ? More than 1 TB
FAIRsharing has no information on this.
Why can the data not be open?
- ? It contains personal data
- ? Commercial or intellectual property reasons
- ? Safety or security concerns
- ? A data sharing agreement limits it
FAIRsharing has no information on this.
Under which license do you want to share the data?
- ? CC0 / public domain
- ✓ CC BY
- ? Another open license
- ? Not decided yet
Licences: Creative Commons Attribution 4.0 International (CC BY 4.0)
Do you need a persistent identifier, such as a DOI, for citing the data?
- ? Yes, a DOI
- ? Any persistent identifier will do
- ? No
FAIRsharing has no information on this.
Must the data be stored in a specific region?
- ✓ In the European Union
- ? In a specific country
- ✓ No preference
Country: Italy
Must archiving be free of charge?
- ? Yes, free only
- ? A fee is fine
FAIRsharing has no information on this.
Which country?
✓ 1 of 15 in the list ✗ excludes 14
Country: Italy