Release: New Release! Version 2.1 of the ProvCaRe repository released with 48.9 million provenance triples extracted from more than 435,000 full-text articles.
Publication: ProvCaRe paper finalist for AMIA distinguished paper award! Paper
Publication: ProvCaRe paper accepted at ODBASE conference. Paper
The Provenance for Clinical and Healthcare Research (ProvCaRe) framework aims to model, extract, and analyze provenance information to support reproducibility of research studies. The ProvCaRe framework consists of:
Provenance describes the source or history of data, for example the study protocol, methods used to assign values to research study variables, and procedure used to curate or process data.
The S3 framework represents the three core categories of provenance metadata required to support scientific reproducibility:
The S3 Model is formalized in the ProvCaRe ontology, which extends the W3C PROV Ontology, using the W3C Web Ontology Language (OWL2).
The ProvCaRe ontology is designed to support provenance extraction from unstructured text, querying of the ProvCaRe knowledgebase, and ranking of query results.
The ProvCaRe ontology OWL file is available for download here.
The ProvCaRe platform supports hypothesis-driven search. This allows users to find research studies that focus on a given hypothesis together with the provenance information extracted from the articles describing the research studies (from PubMed).
This search function uses a provenance-based ranking algorithm to enumerate research studies that have provide appropriate provenance metadata to support scientific reproducibility.
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