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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

1,344 concepts found, displaying 781 to 800.First3637383940414243Last
Id Label Status Status Modified Notation
092735219 092735219 Quick edit Valid 2013-06-05 092735219
092739444 092739444 Quick edit Valid 2013-06-05 092739444
092745220 092745220 Quick edit Valid 2013-06-05 092745220
092745221 092745221 Quick edit Valid 2013-06-05 092745221
092745222 092745222 Quick edit Valid 2013-06-05 092745222
092745223 092745223 Quick edit Valid 2013-06-05 092745223
092745226 092745226 Quick edit Valid 2013-06-05 092745226
092745227 092745227 Quick edit Valid 2013-06-05 092745227
092755229 092755229 Quick edit Valid 2013-06-05 092755229
092755232 092755232 Quick edit Valid 2013-06-05 092755232
092755234 092755234 Quick edit Valid 2013-06-05 092755234
092765238 092765238 Quick edit Valid 2013-06-05 092765238
092775239 092775239 Quick edit Valid 2013-06-05 092775239
092775240 092775240 Quick edit Valid 2013-06-05 092775240
092775241 092775241 Quick edit Valid 2013-06-05 092775241
092775243 092775243 Quick edit Valid 2013-06-05 092775243
092775244 092775244 Quick edit Valid 2013-06-05 092775244
092785246 092785246 Quick edit Valid 2013-06-05 092785246
092785248 092785248 Quick edit Valid 2013-06-05 092785248
092785249 092785249 Quick edit Valid 2013-06-05 092785249
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?