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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
skos:broadMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
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

379 concepts found, displaying 21 to 40.First12345678Last
Id Label Status Status Modified Notation
1101905 1101905 Quick edit Valid 2013-06-05 1101905
1101913 1101913 Quick edit Valid 2013-06-05 1101913
1101915 1101915 Quick edit Valid 2013-06-05 1101915
1101963 1101963 Quick edit Valid 2013-06-05 1101963
1142502 1142502 Quick edit Valid 2013-06-05 1142502
1142504 1142504 Quick edit Valid 2013-06-05 1142504
1142513 1142513 Quick edit Valid 2013-06-05 1142513
1142519 1142519 Quick edit Valid 2013-06-05 1142519
1142520 1142520 Quick edit Valid 2013-06-05 1142520
1142527 1142527 Quick edit Valid 2013-06-05 1142527
1142537 1142537 Quick edit Valid 2013-06-05 1142537
1142562 1142562 Quick edit Valid 2013-06-05 1142562
1142610 1142610 Quick edit Valid 2013-06-05 1142610
1142611 1142611 Quick edit Valid 2013-06-05 1142611
1142615 1142615 Quick edit Valid 2013-06-05 1142615
1142616 1142616 Quick edit Valid 2013-06-05 1142616
1142622 1142622 Quick edit Valid 2013-06-05 1142622
1142624 1142624 Quick edit Valid 2013-06-05 1142624
1142626 1142626 Quick edit Valid 2013-06-05 1142626
1142629 1142629 Quick edit Valid 2013-06-05 1142629
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?