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ro-crate-expert

Automates creation of RO-Crate packages from Dataverse datasets via Python scripts.

8|1|Updated Mar 14, 2026
Search Tags:#provenance#metadata#research data#dataverse#digital identity#ro-crate
One-click install
npx skills add https://github.com/codata/croissant-toolkit --skill ro-crate-expert
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ro-crate-expert
Source: https://github.com/codata/croissant-toolkit/tree/main/.gemini/skills/ro-crate-expert
Command: npx skills add https://github.com/codata/croissant-toolkit --skill ro-crate-expert

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires rocrate, requests, odrl-client, and includes scripts (resource) components.

What problem does it solve?

This Skill automates the creation and validation of RO-Crate packages from Dataverse datasets, ensuring consistent metadata, provenance, and data integrity.

Core Features & Use Cases

  • Metadata Retrieval: Fetches dataset metadata from Dataverse via DOI or URL.
  • RO-Crate Packaging: Converts metadata and dataset files into standardized RO-Crate format.
  • Provenance & DID: Embeds decentralized identifiers and digitally signs datasets for secure, verifiable attribution.
  • Use Case: Researchers can generate reproducible, standards-compliant research object packages suitable for open science and data sharing.

Quick Start

Provide the dataset DOI or URL to generate an RO-Crate package containing the dataset's metadata and files.

Frequently Asked Questions about ro-crate-expert

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I create an RO-Crate package from a Dataverse dataset?▼

To create an RO-Crate from Dataverse, provide the dataset DOI or URL to retrieve metadata and package dataset files into a standardized RO-Crate format using automated Python scripts.

What is RO-Crate packaging used for in research data management?▼

RO-Crate packaging is used to standardize research data workflows by integrating dataset metadata and provenance, ensuring data integrity and reproducible attribution for open science sharing.

Do I need Python dependencies to generate RO-Crate packages from Dataverse?▼

Yes, generating RO-Crate packages requires the rocrate, requests, and odrl-client Python dependencies to facilitate metadata retrieval, packaging, and decentralized identifier embedding.

Can I embed provenance and digital identity into Dataverse datasets?▼

Yes, you can embed provenance and digital identity by converting Dataverse metadata into RO-Crate format, which digitally signs datasets and embeds decentralized identifiers for verifiable attribution.

What are the limitations of using Python scripts for RO-Crate creation?▼

RO-Crate creation via Python scripts is limited to datasets accessible via Dataverse using a DOI or URL, and requires external dependencies like odrl-client for full provenance and digital identity functionality.

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