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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 141 to 160.First4567891011Last
Id Label Status Status Modified Notation
3061117 3061117 Quick edit Valid 2013-06-05 3061117
3061163 3061163 Quick edit Valid 2013-06-05 3061163
3061205 3061205 Quick edit Valid 2013-06-05 3061205
3061207 3061207 Quick edit Valid 2013-06-05 3061207
3061211 3061211 Quick edit Valid 2013-06-05 3061211
3061212 3061212 Quick edit Valid 2013-06-05 3061212
3061214 3061214 Quick edit Valid 2013-06-05 3061214
3061216 3061216 Quick edit Valid 2013-06-05 3061216
3183301 3183301 Quick edit Valid 2013-06-05 3183301
3183302 3183302 Quick edit Valid 2013-06-05 3183302
3183305 3183305 Quick edit Valid 2013-06-05 3183305
3183307 3183307 Quick edit Valid 2013-06-05 3183307
3183317 3183317 Quick edit Valid 2013-06-05 3183317
3183321 3183321 Quick edit Valid 2013-06-05 3183321
3183361 3183361 Quick edit Valid 2013-06-05 3183361
3183404 3183404 Quick edit Valid 2013-06-05 3183404
3183409 3183409 Quick edit Valid 2013-06-05 3183409
3183413 3183413 Quick edit Valid 2013-06-05 3183413
3183414 3183414 Quick edit Valid 2013-06-05 3183414
3183462 3183462 Quick edit Valid 2013-06-05 3183462
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?