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
| Component | Contribution to score |
|---|---|
| Problem description | +0.293 |
| System outputs | +0.191 |
| Same topic area | +0.060 |
| Same AI classification | +0.037 |
| Expected benefits | +0.025 |
| Total | 0.607 |
Most distinctive shared terms: streamflow, streamflow classification, perennial, management decisions, inform, classification
| Field | Streamflow Duration Assessment Modeling | Pacific Northwest Stream Flow Permanence [2024 INV#WO0000000109137] |
|---|---|---|
| Agency | ||
| Bureau | OW | USGS |
| Stage | Deployed | Deployed |
| Topic | Science | Science |
| AI classification | Classical / predictive ML | Classical / predictive ML |
| Sourcing | Developed in-house | Developed in-house |
| Vendor (reported) | Not reported | Not reported |
| System name | Posit Connect (DMAP) | Not reported |
| Problem | Improved streamflow classification | streamflow classification of perennial versus non-perennial which is the charge of many land steward agencies |
| Outputs | Prediction of whether a streamflow is “perennial,” “intermittent,” or “ephemeral” | models used to inform management decisions that require streamflow classification of perennial versus non-perennial |
| Benefits | Because 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 description | Most 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-code | unkown |
| PII | No | No |
| ATO | Yes | No |
| Public code | https://github.com/USEPA/SDAM-web-app | Not reported |
Exploratory reuse assessment
What the inventory can and cannot show| Functional similarity | strong (0.61) | Some support |
| Inputs and outputs | Both describe outputs; compare below | Some support |
| Mission or administrative function | Same topic: Science | Some support |
| Documentation available | Code: link provided · System names: Not in inventory | Some support |
| Technical uncertainties | AI classification: same; sourcing: in_house / in_house | Verify outside inventory |
| Data-access constraints | Data descriptions: Reported / Reported | Verify outside inventory |
| Privacy and security | PII: no / no · ATO: yes / no | Verify outside inventory |
| Legal or policy constraints | Not 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
- Do EPA and DOI solve the same problem for the same kind of user, or only use similar words?
- Are the inputs (data types, formats, volumes) compatible?
- Public code is linked. Is it maintained and documented enough to adopt?
- Does either system's Authorization to Operate cover use by another agency?