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 661 to 680.First3031323334353637Last
Id Label Status Status Modified Notation
533262 Červené Pečky Quick edit Valid 2013-05-30 533262
533271 Český Brod Quick edit Valid 2013-05-30 533271
533289 Dobřichov Quick edit Valid 2013-05-30 533289
533297 Dolní Chvatliny Quick edit Valid 2013-05-30 533297
533301 Doubravčice Quick edit Valid 2013-05-30 533301
533319 Malá Víska Quick edit Valid 2013-05-30 533319
533327 Horní Kruty Quick edit Valid 2013-05-30 533327
533335 Lhotka Quick edit Valid 2013-05-30 533335
533343 Chotutice Quick edit Valid 2013-05-30 533343
533351 Chrášťany Quick edit Valid 2013-05-30 533351
533360 Jestřabí Lhota Quick edit Valid 2013-05-30 533360
533378 Jevany Quick edit Valid 2013-05-30 533378
533386 Klučov Quick edit Valid 2013-05-30 533386
533394 Konárovice Quick edit Valid 2013-05-30 533394
533408 Kořenice Quick edit Valid 2013-05-30 533408
533416 Kostelec nad Černými Lesy Quick edit Valid 2013-05-30 533416
533424 Kouřim Quick edit Valid 2013-05-30 533424
533432 Kozojedy Quick edit Valid 2013-05-30 533432
533441 Krakovany Quick edit Valid 2013-05-30 533441
533459 Krupá Quick edit Valid 2013-05-30 533459
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?