If you are a software provider dealing with static, unused data plans — this project developed machine-actionable DMP specifications that turn documents into active tools. This allows your users to track research progress in real-time rather than filling out forms for compliance.
Automated Tools for Managing and Validating Scientific Data Quality and Compliance
Imagine if your research plan was a smart GPS that updated in real-time instead of a static piece of paper. This project turns boring data checklists into active digital tools that track research progress automatically. It's like moving from a manual filing cabinet to a smart database that tells you exactly where your data is and if it meets quality standards.
What needed solving
Research data management is currently a manual, static process where plans are ignored after submission. This leads to poor data quality and difficulty in verifying research results.
What was built
A Reference Architecture (OSTrails-IRA) and a FAIRness Reference Model that turn static data plans into machine-actionable tools.
Who needs this
Who can put this to work
If you are a publisher dealing with incomparable data quality across different papers — this project developed a FAIRness Reference Model for eight digital object types. This allows you to automate the verification of data quality before publication.
If you are an auditor dealing with fragmented research evidence — this project developed Scientific Knowledge Graphs that link planning to results. This provides a clear, machine-readable trail of evidence for research assessment.
Quick answers
What is the cost or price for using these tools?
Based on available project data, no pricing or cost information is provided as the project focuses on creating an open ecosystem called OSTrails Commons.
Can this be deployed at an industrial scale?
The project is designed for scale, validating its tools through 24 pilots across 15 national infrastructures and 5 ESFRI Clusters.
What are the IP and licensing terms?
Based on available project data, the results are delivered as the OSTrails Commons, suggesting an open-access approach to methods and tools.
How does this integrate with existing systems?
It uses a Reference Architecture (OSTrails-IRA) with specific APIs to connect existing platforms like OpenAIRE Graph and national CRIS systems.
What is the timeline for implementation?
The project runs from 2024-02-01 to 2027-01-31, with current work focusing on delivering interoperability specifications.
Who built it
The consortium is highly diverse with 41 partners from 17 countries, showing strong European reach. While dominated by universities (18) and research organizations (13), it includes 4 industry partners and 2 SMEs, indicating a push to move research tools into commercial or operational environments. The involvement of 16 national funders and ministries suggests high-level institutional backing.
Contact OPENAIRE AMKE in Greece
Talk to the team behind this work.
Contact us to find the specific API specifications for the OSTrails-IRA.