Vocabulary
Processing Levels for EMODnet Data and Data Products
| URI | http://vocab.nerc.ac.uk/collection/EPL/current/ |
|---|---|
| Description | Categories used to define data and data products based on the amount and broad type of processing or analysis that has taken place to come to a particular level. Developed by the EMODnet Technical Group (EMODnet Data and Data Product Portfolio), it is maintained by the MEDIN Standard Group on behalf of EMODnet. Examples have been provided by EMODnet Biology partners (https://doi.org/10.1016/j.marpol.2020.103958). Intended to be adopted across all the EMODnet thematic lots. |
| Creator | MEDIN Standards Group |
| Modified | 2025-10-14 |
| Version Info | 1 |
| Identifier | EPL |
| Register Manager | British Oceanographic Data Centre |
| Register Owner | MEDIN Standards Group |
| See Also | https://github.com/nvs-vocabs/EPL |
| License | https://creativecommons.org/licenses/by/4.0/ |
Alternate Formats
Other formats for this page:
RDF/XML Turtle JSON-LDAlternate Profiles
Other views of this page:
Alternate Profiles ?Different Media Types (HTML, text, RDF, JSON etc.) and different information model views, profiles, are available for this resource.
Members
| ID ↑ | Preferred Label ↑ | Definition ↑ | Date ↑ |
|---|---|---|---|
| L0 | Level 0 | Raw data. Unprocessed instrument data at full resolution, including synchronisation methods (e.g. elimination of CTD up-down duplicates) and excluding communication artefacts. | 2025-10-13 |
| L1 | Level 1 | Full resolution data reconstructed with calibration coefficients, geo and time-referenced. | 2025-10-13 |
| L2 | Level 2 | Geo- and time-referenced processed (derived) data with a minimum QC. Near-real time (NRT) with full spatial and/or temporal resolution. | 2025-10-13 |
| L3 | Level 3 | Delayed mode data with further QC, usually with some completeness, consistency and space/time uniformity. Data QC checks may include comparison with historical data and/or Level 5 products such as climatologies or gridded data. | 2025-10-13 |
| L4 | Level 4 | Collated data from different measurements, samples and/or sources that have been integrated in a data system by means of standardisation and/or categorisation, and subset or otherwise selected or derived to fulfil a specific requirement. Data can represent numerical values and presence/absence of a category or entity. Integration of datasets at this level enables further QC based on parameter to parameter relationships (e.g. TS diagrams). | 2025-10-13 |
| L5A | Level 5A | One-dimensional distribution of a specific parameter, without variations on the temporal or depth dimensions resulting from model or analysis output that uses data of Level 2 and/or 3 as input. Data products of this level represent the distribution of a single parameter derived from multiple measurements. Data are aggregated and undergo some level of geo-processing and spatial or temporal interpolation to cover data gaps and/or solve data discrepancies. | 2025-10-13 |
| L5B | Level 5B | Two-dimensional distribution of a specific parameter, with variations on the spatial or temporal/depth dimensions resulting from model or analysis output that uses data of Level 2 and/or 3 as input. Data products of this level represent the distribution of a single parameter derived from multiple measurements. Data are aggregated and undergo some level of geo-processing and spatial or temporal interpolation to cover data gaps and/or solve data discrepancies. | 2025-10-13 |
| L5C | Level 5C | Three-dimensional distribution of a specific parameter resulting from model or analysis output that uses data of Level 2 and/or 3 as input. Data products of this level represent the distribution of a single parameter derived from multiple measurements. Data are aggregated and undergo some level of geo-processing and spatial or temporal interpolation to cover data gaps and/or solve data discrepancies. | 2025-10-13 |
| L6 | Level 6 | Derived information from multi-variable model or analysis that has Level 5 data products and/or Level 2-3 data as input. These input data and data products might have been gathered or developed by the thematic lot itself, by other thematic lots or third parties. | 2025-10-13 |
