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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 341 to 360.First1415161718192021Last
Id Label Status Status Modified Notation
504050 Šoporňa Quick edit Valid 2013-05-30 504050
504068 Tešedíkovo Quick edit Valid 2013-05-30 504068
504076 Tomášikovo Quick edit Valid 2013-05-30 504076
504084 Topoľnica Quick edit Valid 2013-05-30 504084
504092 Trnovec nad Váhom Quick edit Valid 2013-05-30 504092
504106 Trstice Quick edit Valid 2013-05-30 504106
504114 Váhovce Quick edit Valid 2013-05-30 504114
504122 Veľká Mača Quick edit Valid 2013-05-30 504122
504131 Veľké Úľany Quick edit Valid 2013-05-30 504131
504149 Veľký Grob Quick edit Valid 2013-05-30 504149
504157 Vinohrady nad Váhom Quick edit Valid 2013-05-30 504157
504165 Vlčany Quick edit Valid 2013-05-30 504165
504173 Vozokany Quick edit Valid 2013-05-30 504173
504181 Zemianske Sady Quick edit Valid 2013-05-30 504181
504190 Žihárec Quick edit Valid 2013-05-30 504190
504203 Senica Quick edit Valid 2013-05-30 504203
504211 Bílkove Humence Quick edit Valid 2013-05-30 504211
504220 Borský Svätý Jur Quick edit Valid 2013-05-30 504220
504238 Borský Mikuláš Quick edit Valid 2013-05-30 504238
504254 Brestovec Quick edit Valid 2013-05-30 504254
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?