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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 3,661 to 3,680.First180181182183184185186187Last
Id Label Status Status Modified Notation
171413 Lamas de Olo Quick edit Valid 2013-05-30 171413
171414 Lordelo Quick edit Valid 2013-05-30 171414
171415 Mateus Quick edit Valid 2013-05-30 171415
171416 Mondrões Quick edit Valid 2013-05-30 171416
171417 Mouçós Quick edit Valid 2013-05-30 171417
171418 Nogueira Quick edit Valid 2013-05-30 171418
171419 Vila Real (Nossa Senhora da Conceição) Quick edit Valid 2013-05-30 171419
171420 Parada de Cunhos Quick edit Valid 2013-05-30 171420
171421 Pena Quick edit Valid 2013-05-30 171421
171422 Quinta Quick edit Valid 2013-05-30 171422
171423 Vila Real (São Dinis) Quick edit Valid 2013-05-30 171423
171424 Vila Real (São Pedro) Quick edit Valid 2013-05-30 171424
171425 São Tomé do Castelo Quick edit Valid 2013-05-30 171425
171426 Torgueda Quick edit Valid 2013-05-30 171426
171427 Vale de Nogueiras Quick edit Valid 2013-05-30 171427
171428 Vila Cova Quick edit Valid 2013-05-30 171428
171429 Vila Marim Quick edit Valid 2013-05-30 171429
171430 Vilarinho de Samardã Quick edit Valid 2013-05-30 171430
180101 Aldeias Quick edit Valid 2013-05-30 180101
180102 Aricera Quick edit Valid 2013-05-30 180102
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?