ArticleScientific data2022
Unifying the identification of biomedical entities with the Bioregistry.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed.
- AI semantics for biomedical data integration.bioRxiv : the preprint server for biology · 2026Article
- The Cell Ontology in the age of single-cell omics.Scientific data · 2026Article
- Mondo: integrating disease terminology across communities.Genetics · 2026Article
- ChEBI: re-engineered for a sustainable future.Nucleic acids research · 2026Article
- MITE: the Minimum Information about a Tailoring Enzyme database for capturing specialized metabolite biosynthesis.Nucleic acids research · 2026Article
- Usage and impact of global biodata resources.Bioinformatics advances · 2026Article
- Assembly and reasoning over semantic mappings at scale for biomedical data integration.Bioinformatics (Oxford, England) · 2025Article
- Article
- Biorepositories For Global Rare Disease Research: A Narrative Review.Current rheumatology reports · 2025Review
- OLS4: a new Ontology Lookup Service for a growing interdisciplinary knowledge ecosystem.Bioinformatics (Oxford, England) · 2025Article
- Metadata harmonization from biological datasets with language models.Bioinformatics advances · 2025Article
- Computational tools and data integration to accelerate vaccine development: challenges, opportunities, and future directions.Frontiers in immunology · 2025Review
- The Proteomics Standards Initiative Standardized Formats for Spectral Libraries and Fragment Ion Peak Annotations: mzSpecLib and mzPAF.Analytical chemistry · 2024Article
- A framework for integrating biomedical knowledge in Wikidata with open biological and biomedical ontologies and MeSH keywords.Heliyon · 2024Article
- Beyond protein lists: AI-assisted interpretation of proteomic investigations in the context of evolving scientific knowledge.Nature methods · 2024Article
- The O3 guidelines: open data, open code, and open infrastructure for sustainable curated scientific resources.Scientific data · 2024Article
- An open source knowledge graph ecosystem for the life sciences.Scientific data · 2024Article
- FAIR Header Reference genome: a TRUSTworthy standard.Briefings in bioinformatics · 2024Article
- Structured Prompt Interrogation and Recursive Extraction of Semantics (SPIRES): a method for populating knowledge bases using zero-shot learning.Bioinformatics (Oxford, England) · 2024Article
- Ontologizing health systems data at scale: making translational discovery a reality.NPJ digital medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors.
Funding
Abstract
The standardized identification of biomedical entities is a cornerstone of interoperability, reuse, and data integration in the life sciences. Several registries have been developed to catalog resources maintaining identifiers for biomedical entities such as small molecules, proteins, cell lines, and clinical trials. However, existing registries have struggled to provide sufficient coverage and metadata standards that meet the evolving needs of modern life sciences researchers. Here, we introduce the Bioregistry, an integrative, open, community-driven metaregistry that synthesizes and substantially expands upon 23 existing registries. The Bioregistry addresses the need for a sustainable registry by leveraging public infrastructure and automation, and employing a progressive governance model centered around open code and open data to foster community contribution. The Bioregistry can be used to support the standardized annotation of data, models, ontologies, and scientific literature, thereby promoting their interoperability and reuse. The Bioregistry can be accessed through https://bioregistry.io and its source code and data are available under the MIT and CC0 Licenses at https://github.com/biopragmatics/bioregistry .
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.