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Challenge

Build a Gene Catalog Nomenclature Drift Detector

Evaluate gene symbol synonym catalogs from NCBI Datasets gene reports against FHIR terminology standards. Detect naming conflicts across multi-species registries and record migration actions.

Data ScienceHosted by Vera
Challenge brief

What you are building

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

Evaluate gene symbol synonym catalogs from NCBI Datasets gene reports against FHIR terminology standards. Detect naming conflicts across multi-species registries and record migration actions.

Genomic Terminology Curator

Extract gene symbols and synonym lists from downloaded NCBI gene metadata reports.

Audit extracted nomenclatures against FHIR CodeSystem and ConceptMap structures.

Detect ambiguous multi-symbol collisions or deprecated HGNC nomenclature strings.

Produce standardized FHIR ConceptMap entries detailing recommended term mappings.

Web interface showing nomenclature conflict alerts, symbol mapping graphs, and approved synonym dictionaries.

Ingest public human gene metadata reports via NCBI Datasets command for symbols ACRV1 and A2M. Starter examples below are synthetic. They are not downloaded records.

NCBI Datasets gene download Extracts gene symbols and synonyms from NCBI Datasets gene report metadata formats.

crewai, pydantic, duckdb. crewai coordinates distinct curation sub-tasks including terminology validation, synonym parsing, and conflict auditing. Hosted or local model via OpenAI-compatible endpoints with structured JSON emission capabilities.

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.

Extract all reported gene synonyms from NCBI metadata JSON files.

Produce a valid FHIR ConceptMap element with equivalence mapping fields.

Flag cases where one symbol maps to multiple distinct NCBI Gene IDs.

```json [ { "input": { "gene_id": "2", "symbol": "A2M", "synonyms": [ "A2MD", "CPAMD5", "FWP007" ], "hgnc_approved": "A2M" }, "expected_output": { "resourceType": "ConceptMap", "status": "active", "group": [ { "source": "http://ncbi.nlm.nih.gov/gene", "target": "http://www.genenames.org", "element": [ { "code": "A2M", "target": [ { "code": "HGNC:7", "equivalence": "equivalent" } ] } ] } ], "collision_detected": false } }, { "input": { "gene_id": "99999", "symbol": "OCT4", "synonyms": [ "POU5F1", "OCT3" ], "hgnc_approved": "POU5F1" }, "expected_output": { "resourceType": "ConceptMap", "status": "draft", "group": [ { "source": "http://ncbi.nlm.nih.gov/gene", "target": "http://www.genenames.org", "element": [ { "code": "OCT4", "target": [ { "code": "HGNC:9221", "equivalence": "wider" } ] } ] } ], "collision_detected": true } } ] ```

Performs lexical terminology validation only. Synthetic records used without patient identifiers or diagnostic impact. Use mock external writes. Require human review before any real deployment.

Rules

Participation guide

Performs lexical terminology validation only. Synthetic records used without patient identifiers or diagnostic impact. Use mock external writes and human review.

Delivery guide

How work is evaluated

Evaluation

Extract all reported gene synonyms from NCBI metadata JSON files. Produce a valid FHIR ConceptMap element with equivalence mapping fields. Flag cases where one symbol maps to multiple distinct NCBI Gene IDs.

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

Extract gene symbols and synonym lists from downloaded NCBI gene metadata reports. Audit extracted nomenclatures against FHIR CodeSystem and ConceptMap structures. Detect ambiguous multi-symbol collisions or deprecated HGNC nomenclature strings. Produce standardized FHIR ConceptMap entries detailing recommended term mappings.

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

Extract all reported gene synonyms from NCBI metadata JSON files. Produce a valid FHIR ConceptMap element with equivalence mapping fields. Flag cases where one symbol maps to multiple distinct NCBI Gene IDs.

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 interface showing nomenclature conflict alerts, symbol mapping graphs, and approved synonym dictionaries.

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

Performs lexical terminology validation only. Synthetic records used without patient identifiers or diagnostic impact.

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

  • Extract gene symbols and synonym lists from downloaded NCBI gene metadata reports.

  • Audit extracted nomenclatures against FHIR CodeSystem and ConceptMap structures.

  • Detect ambiguous multi-symbol collisions or deprecated HGNC nomenclature strings.

  • Produce standardized FHIR ConceptMap entries detailing recommended term mappings.

Resources and assets

Reference links and supporting material

Dataset notes

Ingest public human gene metadata reports via NCBI Datasets command for symbols ACRV1 and A2M. Supplied starter examples are synthetic, not source extracts.

Challenge setup

Configuration summary for this challenge.

Challenge input

Input details are not configured.

crewAI

Multi-agent orchestration framework

Evaluated output

No output checks are configured.

Evaluation checks
  • Extract gene symbols and synonym lists from downloaded NCBI gene metadata reports. Audit extracted nomencla...
  • Extract all reported gene synonyms from NCBI metadata JSON files. Produce a valid FHIR ConceptMap element w...
  • Web interface showing nomenclature conflict alerts, symbol mapping graphs, and approved synonym dictionaries.
Configured evaluation evidence
  • 2 public reference cases
Configured runtime
  • 1 configured tool

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
  • crewAI · 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 Gene Catalog Nomenclature Drift Detector