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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 21 to 40.First12345678Last
Id Label Status Status Modified Notation
010201 Albergaria-a-Velha Quick edit Valid 2013-05-30 010201
010202 Alquerubim Quick edit Valid 2013-05-30 010202
010203 Angeja Quick edit Valid 2013-05-30 010203
010204 Branca Quick edit Valid 2013-05-30 010204
010205 Frossos Quick edit Valid 2013-05-30 010205
010206 Ribeira de Fráguas Quick edit Valid 2013-05-30 010206
010207 São João de Loure Quick edit Valid 2013-05-30 010207
010208 Valmaior Quick edit Valid 2013-05-30 010208
010301 Amoreira da Gândara Quick edit Valid 2013-05-30 010301
010302 Ancas Quick edit Valid 2013-05-30 010302
010303 Arcos Quick edit Valid 2013-05-30 010303
010304 Avelãs de Caminho Quick edit Valid 2013-05-30 010304
010305 Avelãs de Cima Quick edit Valid 2013-05-30 010305
010306 Mogofores Quick edit Valid 2013-05-30 010306
010307 Moita Quick edit Valid 2013-05-30 010307
010308 Óis do Bairro Quick edit Valid 2013-05-30 010308
010309 Sangalhos Quick edit Valid 2013-05-30 010309
010310 São Lourenço do Bairro Quick edit Valid 2013-05-30 010310
010311 Tamengos Quick edit Valid 2013-05-30 010311
010312 Vila Nova de Monsarros Quick edit Valid 2013-05-30 010312
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?