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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 1,221 to 1,240.First5859606162636465Last
Id Label Status Status Modified Notation
050507 Monfortinho Quick edit Valid 2013-05-30 050507
050508 Monsanto Quick edit Valid 2013-05-30 050508
050509 Oledo Quick edit Valid 2013-05-30 050509
050510 Penha Garcia Quick edit Valid 2013-05-30 050510
050511 Proença-a-Velha Quick edit Valid 2013-05-30 050511
050512 Rosmaninhal Quick edit Valid 2013-05-30 050512
050513 Salvaterra do Extremo Quick edit Valid 2013-05-30 050513
050514 São Miguel de Acha Quick edit Valid 2013-05-30 050514
050515 Segura Quick edit Valid 2013-05-30 050515
050516 Toulões Quick edit Valid 2013-05-30 050516
050517 Zebreira Quick edit Valid 2013-05-30 050517
050601 Álvaro Quick edit Valid 2013-05-30 050601
050602 Amieira Quick edit Valid 2013-05-30 050602
050603 Cambas Quick edit Valid 2013-05-30 050603
050604 Estreito Quick edit Valid 2013-05-30 050604
050605 Isna Quick edit Valid 2013-05-30 050605
050606 Madeirã Quick edit Valid 2013-05-30 050606
050607 Mosteiro Quick edit Valid 2013-05-30 050607
050608 Oleiros Quick edit Valid 2013-05-30 050608
050609 Orvalho Quick edit Valid 2013-05-30 050609
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?