Inclusion, transparency, quality, state of the art technology.

Methodological Approach

OpenAIRE MONITOR applies a robust methodology grounded in best practices, delivering accurate, comprehensive, and user-focused insights into the Open Science landscape.

Principles

Engagement & Inclusivity

We focus on meeting the needs of our diverse users, from researchers to policymakers. We emphasize ease of use, clear communication, and responsiveness to feedback. The platform is designed to be intuitive and responsive, ensuring an effective and engaging experience for all stakeholders.

Openness & Transparency

We prioritise transparent methodological assumptions and the use of openly available, public data. Adherence to the FAIR principles and international standards ensures our findings are trustworthy, replicable, and accessible for public engagement.

Comprehensive Coverage & Accuracy

Leveraging the extensive data capabilities of the OpenAIRE Graph and working closely with stakeholders for data representation and quality we aim to provide the most comprehensive coverage possible, incorporating data from multiple sources for accurate and meaningful indicators.

Readiness & Timeliness

Built around well-established open databases and already tested knowledge extraction technologies - natural language processing (NLP) / machine-learning (ML) - using operational workflows in OpenAIRE to warrant timely results.

Completeness. Inclusion. Transparency. Replicability.

How?
It’s about open data and collaboration.

  • Built on the OpenAIRE Graph
    Linked scholarly information from open initiatives around the world. Beyond publications.

  • Based on Open Science principles
    Open data sources, Open APIs, well documented metrics and indicators.

  • Relevance for the Community
    Indicators development and visualizations to meet community requirements.

At the core of the OpenAIRE Graph is a commitment to data quality. The pipeline processes metadata from a multitude of sources, including detailed project information from funding bodies. Advanced inference algorithms enhance the metadata and full texts of Open Access publications, establishing crucial links between research results, projects, author affiliations, and classifications like Fields of Science (FoS) and Sustainable Development Goals (SDGs).

To maintain an open, trusted, and publicly accessible resource, we apply sophisticated techniques for identifying and merging duplicate records, supplemented by OpenAIRE's suite of curation tools, including the Metadata Validator for completeness checks and OpenORGS for organisation disambiguation.

The OpenAIRE technology center is responsible with the upkeep of this robust infrastructure, conducting regular hardware maintenance and implementing high-availability solutions, load balancing, backups, and precise restore procedures to ensure uninterrupted system performance.

Explore the OpenAIRE Graph in detail at the OpenAIRE Graph website and its documentation.