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GenevaERS

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A green key on the record, left, is one Decision Insights added. It doesn't exist on the company's site or in a wire feed. The same key labels its row on the right, so you can match them directly. More on how DI enriches a record.

The record

This is what the machine sees: the exact JSON-LD an agent receives for this listing.

WebSite
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SoftwareSourceCode
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    "name": "Open Mainframe Project"
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  "dateModified": "2026-08-27T03:10:30Z",
  "description": "GenevaERS is an open source z/OS batch data processing framework for high-volume in-place extraction and reporting on mainframe data.",
  "keywords": [
    "Open Source",
    "IT Governance",
    "Metadata",
    "Open Source"
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  "name": "GenevaERS",
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  "url": "https://genevaers.org/"
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What we add

Topic graph

A wire service tags a release with a category, once. It doesn't maintain a durable graph over time. We connect them to a topic graph an agent can query.

IT Governance https://decisioninsights.ai/term/it-governance/ Metadata https://decisioninsights.ai/term/metadata/ Open Source https://decisioninsights.ai/term/open-source/

Counted facts

A protocol or open source project keeps no vendor list and publishes no figures of its own to check this against. This counts how it actually shows up across the graph -- articles that name it, the organizations named alongside it in those articles, similar projects, and organizations whose topic tags overlap with its own -- computed, not curated.

Related projects Open Mainframe, Eclipse JBeret, Zorow, Open Mainframe Education, Project EVE, Zowe, Tessia, Software Discovery Tool Related organizations Backslash Security, ClearML, CloudQuery, Dagster, Jekyll, LAION, Lineaje, NetBox Labs