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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

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

4,260 concepts found, displaying 1,101 to 1,120.First5253545556575859Last
Id Label Status Status Modified Notation
041214 Ousilhão Quick edit Valid 2013-05-30 041214
041215 Paçó Quick edit Valid 2013-05-30 041215
041216 Penhas Juntas Quick edit Valid 2013-05-30 041216
041217 Pinheiro Novo Quick edit Valid 2013-05-30 041217
041218 Quirás Quick edit Valid 2013-05-30 041218
041219 Rebordelo Quick edit Valid 2013-05-30 041219
041220 Santa Cruz Quick edit Valid 2013-05-30 041220
041221 Santalha Quick edit Valid 2013-05-30 041221
041222 São Jomil Quick edit Valid 2013-05-30 041222
041223 Sobreiro de Baixo Quick edit Valid 2013-05-30 041223
041224 Soeira Quick edit Valid 2013-05-30 041224
041225 Travanca Quick edit Valid 2013-05-30 041225
041226 Tuizelo Quick edit Valid 2013-05-30 041226
041227 Vale das Fontes Quick edit Valid 2013-05-30 041227
041228 Vale de Janeiro Quick edit Valid 2013-05-30 041228
041229 Vila Boa de Ousilhão Quick edit Valid 2013-05-30 041229
041230 Vila Verde Quick edit Valid 2013-05-30 041230
041231 Vilar de Lomba Quick edit Valid 2013-05-30 041231
041232 Vilar de Ossos Quick edit Valid 2013-05-30 041232
041233 Vilar de Peregrinos Quick edit Valid 2013-05-30 041233
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?