Published June 28, 2025 | Version v2
Dataset Open

CoreKB Trust Network

Authors/Creators

  • 1. ROR icon University of Padua

Description

This dataset was developed in the HEREDITARY project as a research prototype. It has not been assessed or certified under the EU Medical Device Regulation (EU) 2017/745. It must not be used to diagnose, treat, monitor or make any other decision about individual patients.

 

Version 2: Fixed a typo in the name of the GPT agent. "gpt3oMini" -> "gpt4oMini".

This repository contains an RDF graph representing the trust network of 45,649 reliable facts extracted by CoreKB. For each fact, the graph contains the reliability score assigned by its creator and the reliability scores assigned by four external agents, i.e., three LLMs and one crowd agent. In addition, the graph comprises trust relationships between the facts and the external agents. The graph is serialized following the PROV-K ontology (https://prov-k.dei.unipd.it/ontology/).

 

Contact for misuse or vulnerability reports.  Laura Menotti, laura.menotti@unipd.it

Technical info

1. Overview

Field Value

Name

 CoreKB Trust Network
Version 2.0
Type Dataset
Owner partner and contact UNIPD, Laura Menotti, laura.menotti@unipd.it
License CC-BY-4.0
Repository and DOI https://doi.org/10.5281/zenodo.15748152
Release Data 28th June 2025
Related task or deliverable T4.1
How to cite Menotti, L., Marchesin, S., Giachelle, F. et al. Provenance-driven nanopublications: representing source lineage and trust networks for multi-source assertions. Int J Digit Libr 26, 24 (2025). https://doi.org/10.1007/s00799-025-00431-x

2. Intended use

Primary intended use. Research

Intended users. Developers and researchers.

Out-of-scope uses. This release must not be used for

  • clinical diagnosis, prognosis or treatment of individual patients;
  • decisions about individuals, such as insurance, employment or access to care;
  • re-identification of individuals or linkage with other data sources;
  • populations, devices or data types not described in Section 3.

3. Data provenance

Dataset Source Partner Type (public, synthetic, pseudonymized, anonymized) Population (size, age, sex, country, condition) Ethics approval or access conditions
CoreKB Stefano Marchesin, Laura Menotti, Fabio Giachelle, Gianmaria Silvello, Omar Alonso, Building a large gene expression-cancer knowledge base with limited human annotations, Database, Volume 2023, 2023, baad061, https://doi.org/10.1093/database/baad061 Public Dataset constructed from PubMed articles Publicly available

 

This repository and the released files contain no personal data, pseudonymized records, identifiers or pseudonymization keys.

4. Method

  • Algorithm or architecture. Not applicable.
  • Training setting. Not applicable.
  • Privacy techniques. Not Applicable.

5. Performance

  • Evaluation data. Not applicable.
  • Metrics and results. Not applicable.
  • Results by subgroup. No release-wide demographic subgroup results are reported.

6. Known limitations and risks

  • Generalizability.  Not applicable.
  • Known biases and confounders. Not applicable
  • Failure modes.  Not applicable.
  • Privacy risks.  Not applicable.

7. Responsible use and reporting 

  • Terms of use.  Released under the CC-BY-4.0 license. The software is intended for research use only and has not been validated for clinical applications.
  • Contact for misuse or vulnerability reports.  Laura Menotti, laura.menotti@unipd.it

8. Acknowledgement

Funded by the European Union under grant agreement No 101137074 (HEREDITARY). Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Health and Digital Executive Agency (HaDEA). Neither the European Union nor the granting authority can be held responsible for them.

Files

Files (74.5 MB)

Name Size
md5:a5887e0f2a2f36d2bbd551a607cae5bd
74.5 MB Download

Additional details

Related works

Compiles
Dataset: 10.5281/zenodo.15187372 (DOI)
Continues
Publication: https://www.scopus.com/record/display.uri?eid=2-s2.0-105001130170&origin=resultslist&sort=plf-f&src=s&sid=fb03e3211a6ce4db2bb010761a9ae136&sot=cite&sdt=a&s=REF%282-s2.0-85186140201%29&sl=23&sessionSearchId=fb03e3211a6ce4db2bb010761a9ae136 (URL)

Funding

European Commission
HEREDITARY - HetERogeneous sEmantic Data integratIon for the guT-bRain interplaY 101137074

References

  • Giachelle, F., Marchesin, S., Menotti, L., Silvello, G.: Extending Nanopublications with Knowledge Provenance for Multi-Source Scientific Assertions. In: Proc. of the 21st Conference on Information and Research Science Connecting to Digital and Library Science (IRCDL 2025). CEUR-WS Proceedings, vol. 3937. CEUR (2025). https://ceur-ws.org/Vol-3937/paper10.pdf
  • Giachelle, F., Marchesin, S., Menotti, L., Silvello, G.: Publishing Corekb Facts as Nanopublications. In: Proc. of the 20th Conference on Information and Research Science Connecting to Digital and Library Science (IRCDL 2024). CEUR-WS Proceedings, vol. 3643, pp. 16–24. CEUR (2024). https://ceur-ws.org/Vol-3643/paper2.pdf