You are here:
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 3,261 to 3,280.First160161162163164165166167Last
Id Label Status Status Modified Notation
160519 Romarigães Quick edit Valid 2013-05-30 160519
160520 Rubiães Quick edit Valid 2013-05-30 160520
160521 Vascões Quick edit Valid 2013-05-30 160521
160601 Azias Quick edit Valid 2013-05-30 160601
160602 Boivães Quick edit Valid 2013-05-30 160602
160603 Bravães Quick edit Valid 2013-05-30 160603
160604 Britelo Quick edit Valid 2013-05-30 160604
160605 Crasto Quick edit Valid 2013-05-30 160605
160606 Cuide de Vila Verde Quick edit Valid 2013-05-30 160606
160607 Entre Ambos-os-Rios Quick edit Valid 2013-05-30 160607
160608 Ermida Quick edit Valid 2013-05-30 160608
160609 Germil Quick edit Valid 2013-05-30 160609
160610 Grovelas Quick edit Valid 2013-05-30 160610
160611 Lavradas Quick edit Valid 2013-05-30 160611
160612 Lindoso Quick edit Valid 2013-05-30 160612
160613 Nogueira Quick edit Valid 2013-05-30 160613
160614 Oleiros Quick edit Valid 2013-05-30 160614
160615 Paço Vedro de Magalhães Quick edit Valid 2013-05-30 160615
160616 Ponte da Barca Quick edit Valid 2013-05-30 160616
160617 Ruivos Quick edit Valid 2013-05-30 160617
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?