ArticleNeuroinformatics2008
The NIFSTD and BIRNLex vocabularies: building comprehensive ontologies for neuroscience.
Article in Neuroinformatics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers.
What it found
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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.
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Who cites it
88 citing papers in PubMed.
- Improving data sharing and knowledge transfer via the Neuroelectrophysiology Analysis Ontology (NEAO).Scientific data · 2025Article
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- Automating literature screening and curation with applications to computational neuroscience.Journal of the American Medical Informatics Association : JAMIA · 2024Article
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- Computational Concepts for Reconstructing and Simulating Brain Tissue.Advances in experimental medicine and biology · 2022Article
- Extending and using anatomical vocabularies in the stimulating peripheral activity to relieve conditions project.Frontiers in neuroinformatics · 2022Article
- A Standards Organization for Open and FAIR Neuroscience: the International Neuroinformatics Coordinating Facility.Neuroinformatics · 2022Review
- The SPARC DRC: Building a Resource for the Autonomic Nervous System Community.Frontiers in physiology · 2021Article
- An open-source framework for neuroscience metadata management applied to digital reconstructions of neuronal morphology.Brain informatics · 2020Article
- Neuron Names: A Gene- and Property-Based Name Format, With Special Reference to Cortical Neurons.Frontiers in neuroanatomy · 2019Article
- An ontology-based search engine for digital reconstructions of neuronal morphology.Brain informatics · 2017Article
- Name-calling in the hippocampus (and beyond): coming to terms with neuron types and properties.Brain informatics · 2017Article
- The Cell Ontology 2016: enhanced content, modularization, and ontology interoperability.Journal of biomedical semantics · 2016Article
- Hierarchical Event Descriptors (HED): Semi-Structured Tagging for Real-World Events in Large-Scale EEG.Frontiers in neuroinformatics · 2016Article
- Automated Neuroanatomical Relation Extraction: A Linguistically Motivated Approach with a PVT Connectivity Graph Case Study.Frontiers in neuroinformatics · 2016Article
- Resource Disambiguator for the Web: Extracting Biomedical Resources and Their Citations from the Scientific Literature.PloS one · 2016Article
- Terminology development towards harmonizing multiple clinical neuroimaging research repositories.Data integration in the life sciences : ... International Workshop, DILS ... : proceedings. DILS (Conference) · 2015Article
- Text mining for neuroanatomy using WhiteText with an updated corpus and a new web application.Frontiers in neuroinformatics · 2015Article
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- Human neuroimaging as a "Big Data" science.Brain imaging and behavior · 2014Article
28 more citing papers are in PubMed but not listed here.
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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
A critical component of the Neuroscience Information Framework (NIF) project is a consistent, flexible terminology for describing and retrieving neuroscience-relevant resources. Although the original NIF specification called for a loosely structured controlled vocabulary for describing neuroscience resources, as the NIF system evolved, the requirement for a formally structured ontology for neuroscience with sufficient granularity to describe and access a diverse collection of information became obvious. This requirement led to the NIF standardized (NIFSTD) ontology, a comprehensive collection of common neuroscience domain terminologies woven into an ontologically consistent, unified representation of the biomedical domains typically used to describe neuroscience data (e.g., anatomy, cell types, techniques), as well as digital resources (tools, databases) being created throughout the neuroscience community. NIFSTD builds upon a structure established by the BIRNLex, a lexicon of concepts covering clinical neuroimaging research developed by the Biomedical Informatics Research Network (BIRN) project. Each distinct domain module is represented using the Web Ontology Language (OWL). As much as has been practical, NIFSTD reuses existing community ontologies that cover the required biomedical domains, building the more specific concepts required to annotate NIF resources. By following this principle, an extensive vocabulary was assembled in a relatively short period of time for NIF information annotation, organization, and retrieval, in a form that promotes easy extension and modification. We report here on the structure of the NIFSTD, and its predecessor BIRNLex, the principles followed in its construction and provide examples of its use within NIF.
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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.