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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

2,928 concepts found, displaying 181 to 200.First678910111213Last
Id Label Status Status Modified Notation
502219 Drženice Quick edit Valid 2013-05-30 502219
502227 Farná Quick edit Valid 2013-05-30 502227
502243 Hokovce Quick edit Valid 2013-05-30 502243
502251 Hontianska Vrbica Quick edit Valid 2013-05-30 502251
502260 Horná Seč Quick edit Valid 2013-05-30 502260
502278 Horné Semerovce Quick edit Valid 2013-05-30 502278
502286 Horné Turovce Quick edit Valid 2013-05-30 502286
502294 Horný Pial Quick edit Valid 2013-05-30 502294
502324 Hronovce Quick edit Valid 2013-05-30 502324
502332 Hronské Kľačany Quick edit Valid 2013-05-30 502332
502341 Hronské Kosihy Quick edit Valid 2013-05-30 502341
502359 Iňa Quick edit Valid 2013-05-30 502359
502367 Ipeľské Úľany Quick edit Valid 2013-05-30 502367
502375 Ipeľský Sokolec Quick edit Valid 2013-05-30 502375
502383 Jabloňovce Quick edit Valid 2013-05-30 502383
502391 Jur nad Hronom Quick edit Valid 2013-05-30 502391
502413 Kalná nad Hronom Quick edit Valid 2013-05-30 502413
502421 Kozárovce Quick edit Valid 2013-05-30 502421
502430 Krškany Quick edit Valid 2013-05-30 502430
502448 Kubáňovo Quick edit Valid 2013-05-30 502448
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?