Research Integrity Provenance and Evidence Observatory.
The Research Integrity Provenance and Evidence (RIPE) Observatory brings together semantic resources for publishing transparent records of research integrity assessments. It provides the ontology, knowledge graph, and supporting software needed to describe what was assessed, what evidence was considered, how automated and human-reviewed outcomes were produced, and who or what was involved in the assessment process.
The Observatory is motivated by research integrity assessment of randomised clinical trial publications. Its resources are designed around provenance: assessment outcomes should not stand alone, but should be accompanied by enough context for others to inspect, reproduce, and reuse the assessment trace.
Markovic, M., Indukuri, G., Sripada, S., Vorland, C., Wilkinson, J., Robertson, C., Bolland, M., Grey, A., Brazzelli, M., & Avenell, A. (2026). RIPE Observatory. https://w3id.org/ripe
If you would like to contribute to RIPE-KG as part of our upcoming user trials and have experience in reviewing Randomised Clinical Trial publications please contact Alison Avenell, Aberdeen Centre for Evaluation, University of Aberdeen or Milan Markovic, Interdisciplinary Institute, University of Aberdeen.
RIPE-O is the Research Integrity Provenance and Evidence Ontology. It defines the RIPE vocabulary for assessment cases, works, integrity questions, evidence, hypotheses, publication notices, reviewers, automated agents, and provenance activities.
Repository: RIPE-Observatory/RIPE-O
Documentation: https://w3id.org/ripe/ripe-o
RIPE-KG is a knowledge graph of research integrity assessment traces represented using RIPE-O. It is intended to make assessment results queryable together with the evidence and provenance behind them.
Repository: RIPE-Observatory/RIPE-KG
Interface: http://w3id.org/ripe/ripe-kg
INSPECT-AI is a human-in-the-loop, LLM-assisted tool for supporting reviewers during research integrity assessment and for generating semantic provenance traces of the assessment process.
Repository: RIPE-Observatory/INSPECT-AI_open_source
Permanent Identifier: http://w3id.org/ripe/inspect-ai
Please see the project documentation for the main entry points to the ontology, knowledge graph, and software repositories.
RIPE-O is licensed under the Creative Commons Attribution 4.0 International License. Software components are licensed in their respective repositories.