ProMetaS – A Metadata Schema for Process Engineering and Industry
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
Abstract
Data collection in process industry yields a variety of data types. To maintain the knowledge about the data and to enable finding and reusing them (FAIR data), a common description with metadata is necessary. In the project KEEN, ProMetaS – the Process Engineering/Industry Metadata Schema – was developed. It defines various metadata categories adhering to available metadata standards. In this article, ProMetaS, its implementation into the KEEN data platform, and its application in two use cases is described.
Details
| Original language | English |
|---|---|
| Pages (from-to) | 1041-1048 |
| Number of pages | 8 |
| Journal | Chemie-Ingenieur-Technik |
| Volume | 95 |
| Issue number | 7 |
| Publication status | Published - 18 Apr 2023 |
| Peer-reviewed | Yes |
External IDs
| WOS | 000974229800001 |
|---|---|
| ORCID | /0009-0000-3287-0295/work/142237520 |
| ORCID | /0000-0001-5165-4459/work/142248276 |
Keywords
Research priority areas of TU Dresden
Subject groups, research areas, subject areas according to Destatis
ASJC Scopus subject areas
Keywords
- Artificial intelligence, Data management, KEEN project, Metadata, Process industry