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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
Discovery · side-by-side comparison

EPA and DOI

Similarity 0.61 (strong). Strong: descriptions share much specific vocabulary; usually the same kind of task. Classified as Similar use case: The descriptions overlap. The inventory alone cannot show whether either system could be shared.

Why they matched

ComponentContribution to score
Problem description+0.293
System outputs+0.191
Same topic area+0.060
Same AI classification+0.037
Expected benefits+0.025
Total0.607

Most distinctive shared terms: streamflow, streamflow classification, perennial, management decisions, inform, classification

FieldStreamflow Duration Assessment ModelingPacific Northwest Stream Flow Permanence [2024 INV#WO0000000109137]
AgencyEPAEnvironmental Protection AgencyDOIDepartment of the Interior
BureauOWUSGS
StageDeployedDeployed
TopicScienceScience
AI classificationClassical / predictive MLClassical / predictive ML
SourcingDeveloped in-houseDeveloped in-house
Vendor (reported)Not reportedNot reported
System namePosit Connect (DMAP)Not reported
ProblemImproved streamflow classificationstreamflow classification of perennial versus non-perennial which is the charge of many land steward agencies
OutputsPrediction of whether a streamflow is “perennial,” “intermittent,” or “ephemeral”models used to inform management decisions that require streamflow classification of perennial versus non-perennial
BenefitsBecause streamflow duration classes is unknown for most streams across the nation, the classifications from Streamflow Duration Assessment Methods (SDAMs) can inform ecological assessments and resource management decisions, such as setting restoration goals or applying appropriate water quality standards. SDAMs also support identifying waters that may be subject to regulatory jurisdiction under the Clean Water Act or other authorities.inform management decisions that require streamflow classification of perennial versus non-perennial
Data descriptionMost of the data used to train and evaluate performance of the model was collected by EPA or contractors specifically for the development of SDAMs. The data can be found here: - PNW https://www.hydroshare.org/resource/fb4e7b8758d0478cbfe0d6c786f0f968/ - NE and SE https://catalog.data.gov/dataset/nese-betasdam-final-data-and-code - AW https://catalog.data.gov/dataset/aw-betasdam-final-data-and-code - WM https://catalog.data.gov/dataset/wm-betasdam-final-data-and-code - GP https://catalog.data.gov/dataset/gp-betasdam-final-data-and-codeunkown
PIINoNo
ATOYesNo
Public codehttps://github.com/USEPA/SDAM-web-appNot reported

Exploratory reuse assessment

What the inventory can and cannot show
Functional similaritystrong (0.61)Some support
Inputs and outputsBoth describe outputs; compare belowSome support
Mission or administrative functionSame topic: ScienceSome support
Documentation availableCode: link provided · System names: Not in inventorySome support
Technical uncertaintiesAI classification: same; sourcing: in_house / in_houseVerify outside inventory
Data-access constraintsData descriptions: Reported / ReportedVerify outside inventory
Privacy and securityPII: no / no · ATO: yes / noVerify outside inventory
Legal or policy constraintsNot in inventory. Requires independent verification.Verify outside inventory

No pair is marked as a validated reuse opportunity. That needs technical, legal and operational evidence beyond this inventory.

Questions for a human reviewer

  1. Do EPA and DOI solve the same problem for the same kind of user, or only use similar words?
  2. Are the inputs (data types, formats, volumes) compatible?
  3. Public code is linked. Is it maintained and documented enough to adopt?
  4. Does either system's Authorization to Operate cover use by another agency?