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Eionet
Data Dictionary
Edit vocabulary

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
adms:status Vocabulary
Released
  • Step 1
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  • Step 4
  • Step 5
01 Oct 2015
dct:isReplacedBy Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
08 Oct 2013
dct:replaces Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
08 Oct 2013
skos:broader Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:narrower Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
17 Sep 2015
skos:narrowMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

49 concepts found, displaying 41 to 49.First123NextLast
Id Label Status Status Modified Notation
QE3-1-6-1-5 Total nitrogen Quick edit Valid 2015-10-30 QE3-1-6-1-5
QE3-1-6-2 Phosphorus conditions Quick edit Valid 2015-10-30 QE3-1-6-2
QE3-1-6-2-1 Orthophosphate Quick edit Valid 2015-10-30 QE3-1-6-2-1
QE3-1-6-2-2 Total phosphorous Quick edit Valid 2015-10-30 QE3-1-6-2-2
QE3-1-6-3 Silicate Quick edit Valid 2015-10-30 QE3-1-6-3
QE3-1-6-4 Other determinand for nutrient conditions Quick edit Valid 2015-10-30 QE3-1-6-4
QE3-2 Priority substances Quick edit Valid 2015-10-30 QE3-2
QE3-3 River Basin Specific Pollutants Quick edit Valid 2015-10-30 QE3-3
QE3-4 Other pollutants Quick edit Valid 2015-10-30 QE3-4
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?