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 3,921 to 3,940.First193194195196197198199200Last
Id Label Status Status Modified Notation
572250 Březinky Quick edit Valid 2013-05-30 572250
572268 Slatiňany Quick edit Valid 2013-05-30 572268
572276 Sobětuchy Quick edit Valid 2013-05-30 572276
572284 Hartinkov Quick edit Valid 2013-05-30 572284
572292 Vrážné Quick edit Valid 2013-05-30 572292
572306 Stradouň Quick edit Valid 2013-05-30 572306
572314 Střemošice Quick edit Valid 2013-05-30 572314
572322 Studnice Quick edit Valid 2013-05-30 572322
572331 Svídnice Quick edit Valid 2013-05-30 572331
572349 Svratouch Quick edit Valid 2013-05-30 572349
572357 Desná Quick edit Valid 2013-05-30 572357
572365 Horní Újezd Quick edit Valid 2013-05-30 572365
572373 Poříčí u Litomyšle Quick edit Valid 2013-05-30 572373
572381 Tisovec Quick edit Valid 2013-05-30 572381
572390 Trhová Kamenice Quick edit Valid 2013-05-30 572390
572403 Trojovice Quick edit Valid 2013-05-30 572403
572411 Třemošnice Quick edit Valid 2013-05-30 572411
572420 Tuněchody Quick edit Valid 2013-05-30 572420
572438 Nová Ves u Jarošova Quick edit Valid 2013-05-30 572438
572446 Úhřetice Quick edit Valid 2013-05-30 572446
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?