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Challenge

Build a Multi-Center Research Specimen FHIR Bundle Synthesizer

Process biological specimen metadata from research cohorts and correlate with NCBI gene accession references. Assemble validated FHIR R5 Specimen and DiagnosticReport bundles.

Data ScienceHosted by Vera
Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Process biological specimen metadata from research cohorts and correlate with NCBI gene accession references. Assemble validated FHIR R5 Specimen and DiagnosticReport bundles.

Biobank Informatics Specialist

Ingest specimen accession sheets and associated sequence run IDs from research archives.

Query mock NCBI Datasets endpoints to retrieve corresponding transcript and protein identifiers.

Construct valid FHIR Specimen resources containing collection method, container, and taxon codes.

Assemble FHIR Bundle payloads linking Specimen, Observation, and DiagnosticReport entities.

Web dashboard showing specimen graph nodes, resource JSON previews, and FHIR validation badges.

Load synthetic biobank specimen records referencing NCBI human gene accessions NM_020107.5 and NP_001334352.2. Starter examples below are synthetic. They are not downloaded records.

NCBI Datasets gene download Applies NCBI Datasets accession query parameters 'datasets download gene accession NM_020107.5 NP_001334352.2'.

langgraph, pydantic-ai, biopython. Manages multi-stage state transitions across specimen validation, accession lookup, and FHIR bundle linking. Remote hosted API capable of structured tool calling and stateful context propagation.

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.

Generates FHIR R5 Bundle resources with correct 'transaction' or 'collection' bundle types.

Validates bidirectional references between Specimen and DiagnosticReport resources.

Rejects records containing non-standard NCBI accession formatting with explicit diagnostic errors.

```json [ { "input": { "specimen_id": "SPEC-9021", "body_site": "Venous blood", "taxon": "Homo sapiens", "accession": "NM_020107.5" }, "expected_output": { "bundle_entry_count": 2, "specimen_id": "SPEC-9021", "accession_valid": true, "fhir_bundle_type": "collection", "validation_errors": [] } }, { "input": { "specimen_id": "SPEC-BAD", "body_site": "", "taxon": "Unknown", "accession": "INVALID_ACCESSION" }, "expected_output": { "bundle_entry_count": 0, "specimen_id": "SPEC-BAD", "accession_valid": false, "fhir_bundle_type": "collection", "validation_errors": [ "Invalid NCBI accession format", "Missing mandatory body_site" ] } } ] ```

Uses synthetic research specimen records; strictly excluded from actual clinical laboratory operation workflows. Use mock external writes. Require human review before any real deployment.

Rules

Participation guide

Uses synthetic research specimen records; strictly excluded from actual clinical laboratory operation workflows. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

Generates FHIR R5 Bundle resources with correct 'transaction' or 'collection' bundle types. Validates bidirectional references between Specimen and DiagnosticReport resources. Rejects records containing non-standard NCBI accession formatting with explicit diagnostic errors.

Submission format

Runnable source, pinned dependencies, setup commands, working interface, example outputs, recorded demo, tests, and action logs.

Datasets

Challenge datasets

Public datasets, plus the private datasets you have access to.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
4 scoring checks
Binary
1 pass or fail dimensions
Ordinal
3 scaled dimensions
Dimension 1

Complete workflow

Ingest specimen accession sheets and associated sequence run IDs from research archives. Query mock NCBI Datasets endpoints to retrieve corresponding transcript and protein identifiers. Construct valid FHIR Specimen resources containing collection method, container, and taxon codes. Assemble FHIR Bundle payloads linking Specimen, Observation, and DiagnosticReport entities.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 2

Correctness and evidence

Generates FHIR R5 Bundle resources with correct 'transaction' or 'collection' bundle types. Validates bidirectional references between Specimen and DiagnosticReport resources. Rejects records containing non-standard NCBI accession formatting with explicit diagnostic errors.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 3

Review interface

Web dashboard showing specimen graph nodes, resource JSON previews, and FHIR validation badges.

Score scale
012
Score 0

Missing or incorrect.

Score 1

Partly complete, with documented gaps.

Score 2

Complete, with reproducible evidence.

Dimension 4

Safe execution

Uses synthetic research specimen records; strictly excluded from actual clinical laboratory operation workflows.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

What you should walk away with

  • Ingest specimen accession sheets and associated sequence run IDs from research archives.

  • Query mock NCBI Datasets endpoints to retrieve corresponding transcript and protein identifiers.

  • Construct valid FHIR Specimen resources containing collection method, container, and taxon codes.

  • Assemble FHIR Bundle payloads linking Specimen, Observation, and DiagnosticReport entities.

Resources and assets

Reference links and supporting material

Dataset notes

Load synthetic biobank specimen records referencing NCBI human gene accessions NM_020107.5 and NP_001334352.2. Supplied starter examples are synthetic, not source extracts.

Challenge setup

Configuration summary for this challenge.

Challenge input

Input details are not configured.

LangGraph

Runtime for stateful agent workflows.

Evaluated output

No output checks are configured.

Evaluation checks
  • Ingest specimen accession sheets and associated sequence run IDs from research archives. Query mock NCBI Da...
  • Generates FHIR R5 Bundle resources with correct 'transaction' or 'collection' bundle types. Validates bidir...
  • Web dashboard showing specimen graph nodes, resource JSON previews, and FHIR validation badges.
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • 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

Action Space
  • LangGraph · Optional
Orchestration
  • LangGraph · 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.

Frequently Asked Questions about Build a Multi-Center Research Specimen FHIR Bundle Synthesizer