MISM Data and Metadata Intern

Position Summary
RENCI is seeking an intern to support the MISM platform effort by helping identify collect and organize metadata about relevant biomedical infectious disease immunology and modeling resources. The intern will gather information about datasets computational models and related resources from sources such as the NIAID Data Ecosystem biomedical model repositories and ontology-driven standards such as the Biolink Model. This work will support a proof of concept for constructing a knowledge graph that represents relationships among models datasets biological concepts metadata standards and ontologies. The resulting knowledge graph will be used to explore integration with CAIRNS semantic search capabilities with the goal of improving model and data discovery across heterogeneous scientific resources. The intern will work with the MISM technical team to: * Identify relevant models datasets and metadata sources from NIAID -related resources and other biomedical data/model repositories. * Gather structured metadata about models and datasets including title description source domain area organism disease area data type model type inputs outputs assumptions dependencies licensing provenance and access information. * Review existing metadata and ontology standards relevant to biomedical knowledge graphs including the Biolink Model which is designed to standardize biological knowledge graph entities and relationships. ( 1 ) * Help define a practical metadata schema for representing models and datasets in the MISM platform. * Map collected metadata to controlled vocabularies ontologies or knowledge graph predicates where appropriate. * Assist with documenting how datasets models concepts and ontologies relate to one another. * Contribute to a small proof-of-concept knowledge graph that can be used to test semantic search and discovery workflows. * Work with RENCI developers and research staff to prepare metadata for integration with CAIRNS semantic search. By the end of the internship the intern is expected to contribute to: * A curated inventory of relevant models datasets and biomedical resources. * A structured metadata spreadsheet JSON or similar machine-readable metadata collection. * A draft metadata schema for MISM model and dataset discovery. * Notes comparing relevant metadata and ontology standards including Biolink and other biomedical ontology resources. * Example mappings between collected metadata fields and knowledge graph concepts. * Documentation describing how the collected metadata could support knowledge graph construction and semantic search. * A small proof-of-concept dataset suitable for use in a MISM / CAIRNS semantic search demonstration. The intern will gain experience with: * Metadata curation for biomedical models and datasets. * Ontology-informed data modeling. * Knowledge graph design for scientific discovery. * FAIR data and model discovery principles. * Semantic search workflows. * Research cyberinfrastructure development in a collaborative software engineering environment.

Work Schedule
Monday- Friday 8:00 AM 5:00 PM