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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 741 to 760.First3435363738394041Last
Id Label Status Status Modified Notation
091835152 091835152 Quick edit Valid 2013-06-05 091835152
091835183 091835183 Quick edit Valid 2013-06-05 091835183
091839444 091839444 Quick edit Valid 2013-06-05 091839444
091849444 091849444 Quick edit Valid 2013-06-05 091849444
091855154 091855154 Quick edit Valid 2013-06-05 091855154
091855155 091855155 Quick edit Valid 2013-06-05 091855155
091865156 091865156 Quick edit Valid 2013-06-05 091865156
091865157 091865157 Quick edit Valid 2013-06-05 091865157
091865158 091865158 Quick edit Valid 2013-06-05 091865158
091875160 091875160 Quick edit Valid 2013-06-05 091875160
091875162 091875162 Quick edit Valid 2013-06-05 091875162
091875165 091875165 Quick edit Valid 2013-06-05 091875165
091875184 091875184 Quick edit Valid 2013-06-05 091875184
091879444 091879444 Quick edit Valid 2013-06-05 091879444
091889444 091889444 Quick edit Valid 2013-06-05 091889444
091895166 091895166 Quick edit Valid 2013-06-05 091895166
091895169 091895169 Quick edit Valid 2013-06-05 091895169
091895170 091895170 Quick edit Valid 2013-06-05 091895170
091895173 091895173 Quick edit Valid 2013-06-05 091895173
091899444 091899444 Quick edit Valid 2013-06-05 091899444
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?