Software platforms, ontologies, registries, and services developed and maintained by FDI Lab.
Community portal for researchers providing information on common sources of data and Research Resource Identifiers (RRIDs). Enables searching, creation, and discovery of research resources across multiple domains.
Interactive portal for finding and submitting biomedical resources. Resources receive RRIDs for citation in scientific manuscripts, making them findable and citable across the literature.
Central location for persistent, unique Research Resource Identifiers (RRIDs) for antibodies, model organisms, cell lines, and tools — supporting the Resource Identification Initiative across 800+ biomedical journals.
Specialized registry for antibody resources within the biomedical research ecosystem. Enables researchers to locate, identify, and cite specific antibody reagents with persistent identifiers.
A dynamic lexicon of biomedical terms providing a federated ontology layer and inter-lexical mappings. Built on the NeuroLex foundation, it enables consistent terminology across biomedical databases and tools.
NIFSTD maintains an extensive set of terms and concepts important for the domains of neuroscience and biology. The ontology underpins resource discovery and data integration across the NIF ecosystem.
An ontology for describing the complex phenotypes of neurons, enabling consistent classification and comparison of neuronal cell types across datasets and research communities.
Resolution service supporting NIFSTD ontology term and concept lookup. Provides stable, resolvable URIs for ontology terms used across the NIF and SciCrunch infrastructure.
A turnkey solution for ontology web services that converts OWL ontologies into Neo4j graphs, providing API endpoints for autocomplete, terminology lookup, and graph traversal. Open source on GitHub.
An information integration approach designed to facilitate interoperation among Internet resources through harvesting and updating. DISCO enables federated search across heterogeneous biomedical data sources.
Provides a detailed overview of individual research resources including citation metrics, community feedback, and co-usage information. Helps researchers assess the impact and reliability of specific resources.
An automated tool to enable researchers to create customized reports for NIH Submission Policy compliance regarding cell line and antibody authentication requirements.
An integrated dataset and analytics platform combining Research Resource Identifiers (RRIDs), text mining, and data aggregation to provide insight into resource usage across the biomedical literature.
Stores validation and problematic information about research resources, enabling researchers to submit F.A.I.R. claims and alert the community to issues with specific reagents or tools.
Automatically alerts researchers about problematic antibodies using deep neural networks to extract specificity statements from scientific literature, helping prevent the use of unreliable reagents.