Edit vocabulary

Folder Mandatory
Identifier Mandatory
Label Mandatory
Base URI Optional
Registration status Mandatory
Type Mandatory Common
Numeric concept identifiers Mandatory
Optional
Definition Optional
Version Optional
Source Optional
License Optional
 

Bound elements for concepts

Element Type Status
errorType Fixed values
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
03 May 2023
skos:editorialNote Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013
skos:hiddenLabel Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

612 concepts found, displaying 221 to 240.First89101112131415Last
Id Label Status Status Modified Notation
D96 Sampling point should belong to the same station as previous deliveries Quick edit Valid 2023-05-04 D96
D97 Sampling points location is not expected to change compared to previous deliveries Quick edit Valid 2023-05-04 D97
D98 Sampling point classification (Traffic, background, industrial ...) is not expected to change compared to previous year submission. Quick edit Valid 2023-05-04 D98
D99 Station area classification (Rural, sub-urban, urban...) is not expected to change compared to previous year submission. Quick edit Valid 2023-05-04 D99
DCrossCheck Cross checks with other data-flows Quick edit Valid 2023-05-04 DCrossCheck
Dtest Testing REGERROR in D Quick edit Valid 2023-05-10 Dtest
E0 Checks if this delivery is new or an update (on same reporting year) Quick edit Valid 2023-05-04 E0
E01a Total number Observations within this XML Document Quick edit Valid 2023-05-04 E01a
E01b GML identifier for om:OM_Observation attribute shall be unique code Quick edit Valid 2023-05-04 E01b
E02 Start time must be less than end time (phenomenonTime) Quick edit Valid 2023-05-04 E02
E03 The resultTime must be after the phenomenonTime Quick edit Valid 2023-05-04 E03
E04 Observation must link to a valid AQD_SamplingPointProcess in dataflow D (via om:procedure) Quick edit Valid 2023-05-04 E04
E05 Observation must provide a link to SamplingPoint Quick edit Valid 2023-05-04 E05
E06 Observation must link to a valid AQD_SamplingPoint in dataflow D (via om:parameter/...) Quick edit Valid 2023-05-04 E06
E07 Observation should provide link to Assessment Type Quick edit Valid 2023-05-04 E07
E08 Observation must provide a correct link to AssessmentType vocabulary Quick edit Valid 2023-05-04 E08
E09 All observation paramater should link to be registered under vocabulary Quick edit Valid 2023-05-04 E09
E10 Pollutant must be a registered under vocabulary  Quick edit Valid 2023-05-04 E10
E11 The pollutant for the observation must match the pollutant of the SamplingPoint Quick edit Valid 2023-05-04 E11
E12 Observation must link to a valid AQD_Sample in dataflow D (via om:featureOfInterest) Quick edit Valid 2023-05-04 E12
CSV Import

The CSV file should contain a header row for element names and data rows for concepts.
It is strongly recommended to use an exported CSV file as a template for bulk editing. Columns and rows can be added to or deleted from the template file.
A concept can be ignored by prepending a double-slash '//' to the concept row in the CSV
    Notes:
  • If the header row contains unknown elements the import will aborted and data will be rolled back
  • Erroneous concept rows are ignored, valid data rows are still imported
  • Successful import cannot be undone (unless "undo checkout" is performed)
  • If a concept with the same identifier already exists in the vocabulary it will be overwritten
  • "Purge Vocabulary" option deletes all the vocabulary concepts before import
Note
  • With this operation, contents of RDF file will be imported into vocabulary folder.
  • Only a working copy can be updated with a RDF file upload.
  • If user select "Purge Per Predicate" option. All seen predicates will be removed from vocabulary.
  • If user select "Purge All Vocabulary Data" option. All data will be removed from vocabulary.
  • Once import is successful, operation cannot be undone. If an error occurs during import, then all data will be rolled back.
In this case, existing vocabulary information will be updated with information from imported concepts.
In this case, predicates of existing concepts will be replaced with the imported predicates.
In this case, all existing concepts will be removed and the imported concepts will be added.
In this case, all imported concepts will be removed from the vocabulary.
How to handle missing concepts?