{
  "id": 846,
  "url": "https://arxiv.org/abs/2606.30663v1",
  "title": "FAIR+S: A validation study of a framework for sustainable research data and software",
  "summary": "The FAIR principles (Findable, Accessible, Interoperable, Reusable) have transformed research data management, but they do not address the environmental impact of creating and using research software and data, such as energy consumption, carbon emissions, and life-cycle impacts that become central to computer science and engineering-related domains. To bridge this gap FAIR+Sustainability or FAIR+S, an extension of the FAIR framework that embeds environmental accountability as a core element, was",
  "authors": "Danila Valko, Jan Sören Schwarz, Jorge Marx Gómez, Ralf Isenmann",
  "category": "research",
  "topics": "transparency,environment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-06-17T09:30:47.000Z",
  "fetched_at": "2026-07-14T14:14:50.324Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/846",
  "original_url": "https://arxiv.org/abs/2606.30663v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}