Build a Research Specimen Biorepository FHIR Resource Harmonizer
Correlate research specimen IDs against NCBI taxon catalogs and standard biospecimen collection hierarchies. Format validated research samples into FHIR Specimen and ResearchStudy entities.
What you are building
The core problem, expected build, and operating context for this challenge.
Correlate research specimen IDs against NCBI taxon catalogs and standard biospecimen collection hierarchies. Format validated research samples into FHIR Specimen and ResearchStudy entities.
Biobank Translational Coordinator
Parse multi-sample specimen metadata CSV manifests exported from laboratory biobanking systems.
Map organism taxonomy to standard NCBI Taxonomy IDs using NCBI Datasets species metadata rules.
Validate container, body site, and preservation status attributes against FHIR Specimen structure rules.
Generate interconnected FHIR Specimen and ResearchStudy resource bundles.
Web dashboard with file upload, validation rule editor, and JSON FHIR resource bundle visualizer.
Create synthetic biobank manifest CSV files referencing public human and murine taxon identifiers from NCBI Datasets. Starter examples below are synthetic. They are not downloaded records.
HL7 FHIR overview Applies FHIR R5 core foundations including Specimen resource structure and resource reference composition patterns.
pydantic-ai, fastapi, biopython. Enforces strict type safety and schema validation across relational FHIR R5 research resource structures. API-hosted or local lightweight model capable of resolving ambiguous biobank tissue nomenclature.
Submit runnable source, pinned dependencies, setup commands, a working interface, example outputs, and a recorded end-to-end demo. Include tests and an action log.
Parses multi-sample biorepository tables and maps taxonomy to official NCBI Taxonomy IDs.
Validates mandatory FHIR Specimen fields including status, type, and collection context.
Produces complete FHIR R5 Bundle containing linked Specimen and ResearchStudy JSON objects.
```json [ { "input": { "specimen_id": "SPEC-001", "organism": "human", "tissue_type": "Peripheral blood mononuclear cells", "collection_method": "Venipuncture" }, "expected_output": { "taxon_id": 9606, "valid": true, "bundle": { "resourceType": "Bundle", "type": "collection", "entry": [ { "resource": { "resourceType": "Specimen", "id": "SPEC-001", "status": "available", "type": { "text": "Peripheral blood mononuclear cells" } } } ] } } }, { "input": { "specimen_id": "SPEC-002", "organism": "unknown_isolate", "tissue_type": "", "collection_method": "Biopsy" }, "expected_output": { "taxon_id": null, "valid": false, "errors": [ "Missing mandatory tissue type", "Unrecognized organism taxon 'unknown_isolate'" ], "bundle": null } } ] ```
Restricted to de-identified synthetic specimen manifests; no private clinical or protected health records used. Use mock external writes. Require human review before any real deployment.
Participation guide
Restricted to de-identified synthetic specimen manifests; no private clinical or protected health records used. Use mock external writes and human review.
How work is evaluated
Parses multi-sample biorepository tables and maps taxonomy to official NCBI Taxonomy IDs. Validates mandatory FHIR Specimen fields including status, type, and collection context. Produces complete FHIR R5 Bundle containing linked Specimen and ResearchStudy JSON objects.
Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.
Challenge datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
Complete workflow
Parse multi-sample specimen metadata CSV manifests exported from laboratory biobanking systems. Map organism taxonomy to standard NCBI Taxonomy IDs using NCBI Datasets species metadata rules. Validate container, body site, and preservation status attributes against FHIR Specimen structure rules. Generate interconnected FHIR Specimen and ResearchStudy resource bundles.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Correctness and evidence
Parses multi-sample biorepository tables and maps taxonomy to official NCBI Taxonomy IDs. Validates mandatory FHIR Specimen fields including status, type, and collection context. Produces complete FHIR R5 Bundle containing linked Specimen and ResearchStudy JSON objects.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Review interface
Web dashboard with file upload, validation rule editor, and JSON FHIR resource bundle visualizer.
Missing or incorrect.
Partly complete, with documented gaps.
Complete, with reproducible evidence.
Safe execution
Restricted to de-identified synthetic specimen manifests; no private clinical or protected health records used.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Parse multi-sample specimen metadata CSV manifests exported from laboratory biobanking systems.
Map organism taxonomy to standard NCBI Taxonomy IDs using NCBI Datasets species metadata rules.
Validate container, body site, and preservation status attributes against FHIR Specimen structure rules.
Generate interconnected FHIR Specimen and ResearchStudy resource bundles.
Reference links and supporting material
Create synthetic biobank manifest CSV files referencing public human and murine taxon identifiers from NCBI Datasets. Supplied starter examples are synthetic, not source extracts.
Challenge setup
Configuration summary for this challenge.
Challenge input
Input details are not configured.
Pydantic AI
Typed Python agent framework.
Evaluated output
No output checks are configured.
- Parse multi-sample specimen metadata CSV manifests exported from laboratory biobanking systems. Map organis...
- Parses multi-sample biorepository tables and maps taxonomy to official NCBI Taxonomy IDs. Validates mandato...
- Web dashboard with file upload, validation rule editor, and JSON FHIR resource bundle visualizer.
- 2 public reference cases
- 2 configured tools
Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.
View technical recipe
Configured tools
- Pydantic AI · Optional
- Pydantic AI · Optional
Evaluation contract
- Complete workflow · Weight 40
- Correctness and evidence · Weight 30
- Review interface · Weight 20
- Safe execution · Weight 10
Reference cases
- 2 public reference cases
Workflow tasks
No workflow tasks are configured.
Recipe freeze marker
No recipe freeze time is recorded.