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 4,581 to 4,600.First226227228229230231232233Last
Id Label Status Status Modified Notation
579980 Cotkytle Quick edit Valid 2013-05-30 579980
579998 Čenkovice Quick edit Valid 2013-05-30 579998
580015 Červená Voda Quick edit Valid 2013-05-30 580015
580023 Česká Rybná Quick edit Valid 2013-05-30 580023
580031 Česká Třebová Quick edit Valid 2013-05-30 580031
580040 České Heřmanice Quick edit Valid 2013-05-30 580040
580058 České Libchavy Quick edit Valid 2013-05-30 580058
580066 České Petrovice Quick edit Valid 2013-05-30 580066
580074 Damníkov Quick edit Valid 2013-05-30 580074
580091 Dobříkov Quick edit Valid 2013-05-30 580091
580112 Dolní Čermná Quick edit Valid 2013-05-30 580112
580121 Dolní Dobrouč Quick edit Valid 2013-05-30 580121
580147 Libchavy Quick edit Valid 2013-05-30 580147
580163 Dolní Morava Quick edit Valid 2013-05-30 580163
580210 Džbánov Quick edit Valid 2013-05-30 580210
580228 Hejnice Quick edit Valid 2013-05-30 580228
580261 Hnátnice Quick edit Valid 2013-05-30 580261
580279 Horní Čermná Quick edit Valid 2013-05-30 580279
580295 Horní Heřmanice Quick edit Valid 2013-05-30 580295
580325 Sloupnice Quick edit Valid 2013-05-30 580325
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?