SciTransfer
OSTrails · Project

Automated Tools for Managing and Validating Scientific Data Quality and Compliance

digitalPilotedTRL 6

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.

By the numbers
24
pilots for validation
15
national infrastructures
5
ESFRI Clusters
8
digital object types covered by FAIRness model
The business problem

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.

The solution

What was built

A Reference Architecture (OSTrails-IRA) and a FAIRness Reference Model that turn static data plans into machine-actionable tools.

Audience

Who needs this

Research Data Management software vendorsUniversity research office administratorsScientific publishersNational funding agencies
Business applications

Who can put this to work

Software Development
SME
Target: Research Data Management software provider

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.

Academic Publishing
enterprise
Target: Scientific journal or publisher

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.

Pharmaceuticals
mid-size
Target: R&D data auditing firm

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.

Frequently asked

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.

Consortium

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.

How to reach the team

Contact OPENAIRE AMKE in Greece

Next steps

Talk to the team behind this work.

Contact us to find the specific API specifications for the OSTrails-IRA.