Packaging research artefacts with RO-Crate
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Abstract (arXiv)
An increasing number of researchers support reproducibility by including pointers to and descriptions of datasets, software and methods in their publications. However, scientific articles may be ambiguous, incomplete and difficult to process by automated systems. In this paper we introduce RO-Crate, an open, community-driven, and lightweight approach to packaging research artefacts along with their metadata in a machine readable manner. RO-Crate is based on Schema.org annotations in JSON-LD, aiming to establish best practices to formally describe metadata in an accessible and practical way for their use in a wide variety of situations. An RO-Crate is a structured archive of all the items that contributed to a research outcome, including their identifiers, provenance, relations and annotations. As a general purpose packaging approach for data and their metadata, RO-Crate is used across multiple areas, including bioinformatics, digital humanities and regulatory sciences. By applying "just enough" Linked Data standards, RO-Crate simplifies the process of making research outputs FAIR while also enhancing research reproducibility. An RO-Crate for this article is available at https://w3id.org/ro/doi/10.5281/zenodo.5146227
Key facts. Cited by 22 papers in the map (data through 7 Oct 2026). First posted on arXiv 14 Aug 2021.
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Citing papers per year: 2023: 1; 2024: 3; 2025: 4; 2026: 14.
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- 2024Croissant: A Metadata Format for ML-Ready Datasetscited by 79
- 2024Reproducibility in Machine Learning-based Research: Overview, Barriers and Driverscited by 34
- 2026The Last Human-Written Paper: Agent-Native Research Artifactscited by 12
- 2025Provenance Tracking in Large-Scale Machine Learning Systemscited by 5
- 2024DISO: A Domain Ontology for Modeling Dislocations in Crystalline Materialscited by 2
- 2025yProv4ML: Effortless Provenance Tracking for Machine Learning Systemscited by 2
- 2026Artifact-centered Claim-aware Observability for Autonomous Scientific Agentscited by 2
- 2026Agora: Git as Shared Memory for Collective AutoResearchcited by 2
- 2025Mutual Understanding between People and Systems via Neurosymbolic AI and Knowledge Graphscited by 1
- 2023Halcyon -- A Pathology Imaging and Feature analysis and Management Systemcited by 0
- 2025TIB AIssistant: a Platform for AI-Supported Research Across Research Life Cyclescited by 0
- 2026paper.json: A Coordination Convention for LLM-Agent-Actionable Paperscited by 0
10 more
- 2026AIMBio-Mat: An AI-Native FAIR Platform for Closed-Loop Materials Discovery and Biomedical Translationcited by 0
- 2026Clarus: Coordinating Autonomous Research Agents toward Web-Scale Scientific Collaborationcited by 0
- 2026Networked Intelligence: Active Shared Context Graphs for Human-AI Team Sciencecited by 0
- 2026F(AI)2R: Who Did What, and Who Checked? Verifiable AI Provenance as an Executable Skillcited by 0
- 2026CyberNeuro: A Privacy-Preserving Agentic Workbench for Cohort-Scale Neuroimage and Clinical Data Analysiscited by 0
- 2026Traceable Trust for action-ready artificial intelligence in biosciencecited by 0
- 2026Scientific Data Skills: Enabling Agent-Ready Scientific Data Services at Scalecited by 0
- 2026LLMs Interpret, Embeddings Organize, Graphs Emerge: Agent-Driven Compilation of Scientific Knowledgecited by 0
- 2026Can AI Agents Detect and Repair Artifact Drift in Network Experiments?cited by 0
- 2026A Policy Profile for Croissant: Refusal as a Property of the Datasetcited by 0
- 2026A Policy Profile for Croissant: Refusal as a Property of the Dataset17 Sep 2026
- 2026Agora: Git as Shared Memory for Collective AutoResearch16 Sep 2026
- 2026Can AI Agents Detect and Repair Artifact Drift in Network Experiments?9 Sep 2026
- 2026LLMs Interpret, Embeddings Organize, Graphs Emerge: Agent-Driven Compilation of Scientific Knowledge30 Aug 2026
- 2026Scientific Data Skills: Enabling Agent-Ready Scientific Data Services at Scale20 Aug 2026
- 2026Artifact-centered Claim-aware Observability for Autonomous Scientific Agents18 Aug 2026
- 2026Traceable Trust for action-ready artificial intelligence in bioscience18 Aug 2026
- 2026CyberNeuro: A Privacy-Preserving Agentic Workbench for Cohort-Scale Neuroimage and Clinical Data Analysis30 Jul 2026
- 2026F(AI)2R: Who Did What, and Who Checked? Verifiable AI Provenance as an Executable Skill28 Jul 2026
- 2026Networked Intelligence: Active Shared Context Graphs for Human-AI Team Science14 Jul 2026
- 2026Clarus: Coordinating Autonomous Research Agents toward Web-Scale Scientific Collaboration29 Jun 2026
- 2026AIMBio-Mat: An AI-Native FAIR Platform for Closed-Loop Materials Discovery and Biomedical Translation20 May 2026
10 more
- 2026paper.json: A Coordination Convention for LLM-Agent-Actionable Papers15 May 2026
- 2026The Last Human-Written Paper: Agent-Native Research Artifacts27 Apr 2026
- 2025TIB AIssistant: a Platform for AI-Supported Research Across Research Life Cycles18 Dec 2025
- 2025yProv4ML: Effortless Provenance Tracking for Machine Learning Systems1 Jul 2025
- 2025Provenance Tracking in Large-Scale Machine Learning Systems1 Jul 2025
- 2025Mutual Understanding between People and Systems via Neurosymbolic AI and Knowledge Graphs15 Apr 2025
- 2024Reproducibility in Machine Learning-based Research: Overview, Barriers and Drivers20 Jun 2024
- 2024Croissant: A Metadata Format for ML-Ready Datasets28 Mar 2024
- 2024DISO: A Domain Ontology for Modeling Dislocations in Crystalline Materials4 Jan 2024
- 2023Halcyon -- A Pathology Imaging and Feature analysis and Management System7 Apr 2023
- 2026Agora: Git as Shared Memory for Collective AutoResearchcited by 2
- 2026paper.json: A Coordination Convention for LLM-Agent-Actionable Paperscited by 0
- 2026Clarus: Coordinating Autonomous Research Agents toward Web-Scale Scientific Collaborationcited by 0
- 2026CyberNeuro: A Privacy-Preserving Agentic Workbench for Cohort-Scale Neuroimage and Clinical Data Analysiscited by 0
- 2026LLMs Interpret, Embeddings Organize, Graphs Emerge: Agent-Driven Compilation of Scientific Knowledgecited by 0
- 2026Agora: Git as Shared Memory for Collective AutoResearch16 Sep 2026
- 2026LLMs Interpret, Embeddings Organize, Graphs Emerge: Agent-Driven Compilation of Scientific Knowledge30 Aug 2026
- 2026CyberNeuro: A Privacy-Preserving Agentic Workbench for Cohort-Scale Neuroimage and Clinical Data Analysis30 Jul 2026
- 2026Clarus: Coordinating Autonomous Research Agents toward Web-Scale Scientific Collaboration29 Jun 2026
- 2026paper.json: A Coordination Convention for LLM-Agent-Actionable Papers15 May 2026
- 2024Croissant: A Metadata Format for ML-Ready Datasetscited by 79
- 2024Reproducibility in Machine Learning-based Research: Overview, Barriers and Driverscited by 34
- 2026The Last Human-Written Paper: Agent-Native Research Artifactscited by 12
- 2025Provenance Tracking in Large-Scale Machine Learning Systemscited by 5
- 2024DISO: A Domain Ontology for Modeling Dislocations in Crystalline Materialscited by 2
- 2025yProv4ML: Effortless Provenance Tracking for Machine Learning Systemscited by 2
- 2026Artifact-centered Claim-aware Observability for Autonomous Scientific Agentscited by 2
- 2025Mutual Understanding between People and Systems via Neurosymbolic AI and Knowledge Graphscited by 1
- 2023Halcyon -- A Pathology Imaging and Feature analysis and Management Systemcited by 0
- 2025TIB AIssistant: a Platform for AI-Supported Research Across Research Life Cyclescited by 0
- 2026AIMBio-Mat: An AI-Native FAIR Platform for Closed-Loop Materials Discovery and Biomedical Translationcited by 0
- 2026F(AI)2R: Who Did What, and Who Checked? Verifiable AI Provenance as an Executable Skillcited by 0
12 most cited of 16 All 16 (JSON)
- 2026A Policy Profile for Croissant: Refusal as a Property of the Dataset17 Sep 2026
- 2026Can AI Agents Detect and Repair Artifact Drift in Network Experiments?9 Sep 2026
- 2026Scientific Data Skills: Enabling Agent-Ready Scientific Data Services at Scale20 Aug 2026
- 2026Artifact-centered Claim-aware Observability for Autonomous Scientific Agents18 Aug 2026
- 2026Traceable Trust for action-ready artificial intelligence in bioscience18 Aug 2026
- 2026F(AI)2R: Who Did What, and Who Checked? Verifiable AI Provenance as an Executable Skill28 Jul 2026
- 2026AIMBio-Mat: An AI-Native FAIR Platform for Closed-Loop Materials Discovery and Biomedical Translation20 May 2026
- 2026The Last Human-Written Paper: Agent-Native Research Artifacts27 Apr 2026
- 2025TIB AIssistant: a Platform for AI-Supported Research Across Research Life Cycles18 Dec 2025
- 2025yProv4ML: Effortless Provenance Tracking for Machine Learning Systems1 Jul 2025
- 2025Provenance Tracking in Large-Scale Machine Learning Systems1 Jul 2025
- 2025Mutual Understanding between People and Systems via Neurosymbolic AI and Knowledge Graphs15 Apr 2025
12 newest of 16 All 16 (JSON)