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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 2,941 to 2,960.First144145146147148149150151Last
Id Label Status Status Modified Notation
141411 São Sebastião Quick edit Valid 2013-05-30 141411
141412 Ribeira de São João Quick edit Valid 2013-05-30 141412
141413 Malaqueijo Quick edit Valid 2013-05-30 141413
141414 Assentiz Quick edit Valid 2013-05-30 141414
141501 Glória do Ribatejo Quick edit Valid 2013-05-30 141501
141502 Marinhais Quick edit Valid 2013-05-30 141502
141503 Muge Quick edit Valid 2013-05-30 141503
141504 Salvaterra de Magos Quick edit Valid 2013-05-30 141504
141505 Foros de Salvaterra Quick edit Valid 2013-05-30 141505
141506 Granho Quick edit Valid 2013-05-30 141506
141601 Abitureiras Quick edit Valid 2013-05-30 141601
141602 Abrã Quick edit Valid 2013-05-30 141602
141603 Achete Quick edit Valid 2013-05-30 141603
141604 Alcanede Quick edit Valid 2013-05-30 141604
141605 Alcanhões Quick edit Valid 2013-05-30 141605
141606 Almoster Quick edit Valid 2013-05-30 141606
141607 Amiais de Baixo Quick edit Valid 2013-05-30 141607
141608 Arneiro das Milhariças Quick edit Valid 2013-05-30 141608
141609 Azoia de Baixo Quick edit Valid 2013-05-30 141609
141610 Azoia de Cima Quick edit Valid 2013-05-30 141610
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?