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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 2,581 to 2,600.First126127128129130131132133Last
Id Label Status Status Modified Notation
130515 Nevogilde Quick edit Valid 2013-05-30 130515
130516 Nogueira Quick edit Valid 2013-05-30 130516
130517 Ordem Quick edit Valid 2013-05-30 130517
130518 Pias Quick edit Valid 2013-05-30 130518
130520 Lousada (Santa Margarida) Quick edit Valid 2013-05-30 130520
130521 Barrosas (Santo Estêvão) Quick edit Valid 2013-05-30 130521
130522 Lousada (São Miguel) Quick edit Valid 2013-05-30 130522
130523 Silvares Quick edit Valid 2013-05-30 130523
130524 Sousela Quick edit Valid 2013-05-30 130524
130525 Torno Quick edit Valid 2013-05-30 130525
130526 Vilar do Torno e Alentém Quick edit Valid 2013-05-30 130526
130601 Águas Santas Quick edit Valid 2013-05-30 130601
130602 Barca Quick edit Valid 2013-05-30 130602
130603 Folgosa Quick edit Valid 2013-05-30 130603
130604 Gemunde Quick edit Valid 2013-05-30 130604
130605 Gondim Quick edit Valid 2013-05-30 130605
130606 Gueifães Quick edit Valid 2013-05-30 130606
130607 Maia Quick edit Valid 2013-05-30 130607
130608 Milheirós Quick edit Valid 2013-05-30 130608
130609 Moreira Quick edit Valid 2013-05-30 130609
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?