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

6,250 concepts found, displaying 1,601 to 1,620.First7778798081828384Last
Id Label Status Status Modified Notation
544451 Dynín Quick edit Valid 2013-05-30 544451
544469 Malá Bystřice Quick edit Valid 2013-05-30 544469
544477 Stráž nad Nisou Quick edit Valid 2013-05-30 544477
544485 Hluboká nad Vltavou Quick edit Valid 2013-05-30 544485
544493 Homole Quick edit Valid 2013-05-30 544493
544507 Mikulůvka Quick edit Valid 2013-05-30 544507
544515 Horní Stropnice Quick edit Valid 2013-05-30 544515
544523 Hosín Quick edit Valid 2013-05-30 544523
544531 Čtveřín Quick edit Valid 2013-05-30 544531
544540 Hranice Quick edit Valid 2013-05-30 544540
544558 Hrdějovice Quick edit Valid 2013-05-30 544558
544566 Nový Hrozenkov Quick edit Valid 2013-05-30 544566
544574 Oznice Quick edit Valid 2013-05-30 544574
544582 Radimovice Quick edit Valid 2013-05-30 544582
544591 Chrášťany Quick edit Valid 2013-05-30 544591
544604 Žďárek Quick edit Valid 2013-05-30 544604
544612 Jankov Quick edit Valid 2013-05-30 544612
544621 Police Quick edit Valid 2013-05-30 544621
544639 Jílovice Quick edit Valid 2013-05-30 544639
544647 Bynovec Quick edit Valid 2013-05-30 544647
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?