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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 4,521 to 4,540.First223224225226227228229230Last
Id Label Status Status Modified Notation
579220 Havlovice Quick edit Valid 2013-05-30 579220
579238 Horní Brusnice Quick edit Valid 2013-05-30 579238
579246 Trokavec Quick edit Valid 2013-05-30 579246
579254 Horní Kalná Quick edit Valid 2013-05-30 579254
579262 Horní Maršov Quick edit Valid 2013-05-30 579262
579271 Horní Olešnice Quick edit Valid 2013-05-30 579271
579289 Vísky Quick edit Valid 2013-05-30 579289
579297 Hostinné Quick edit Valid 2013-05-30 579297
579301 Hřibojedy Quick edit Valid 2013-05-30 579301
579319 Chotěvice Quick edit Valid 2013-05-30 579319
579327 Choustníkovo Hradiště Quick edit Valid 2013-05-30 579327
579335 Chvaleč Quick edit Valid 2013-05-30 579335
579343 Štítov Quick edit Valid 2013-05-30 579343
579351 Janské Lázně Quick edit Valid 2013-05-30 579351
579360 Těšovice Quick edit Valid 2013-05-30 579360
579378 Jívka Quick edit Valid 2013-05-30 579378
579386 Klášterská Lhota Quick edit Valid 2013-05-30 579386
579394 Kocbeře Quick edit Valid 2013-05-30 579394
579408 Kohoutov Quick edit Valid 2013-05-30 579408
579416 Kuks Quick edit Valid 2013-05-30 579416
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?