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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
skos:prefLabel Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

5,302 concepts found, displaying 541 to 560.First2425262728293031Last
Id Label Status Status Modified Notation
06906 Buk Quick edit Valid 2013-05-30 06906
06919 Bukak Quick edit Valid 2013-05-30 06919
06923 Bukata Quick edit Valid 2013-05-30 06923
06937 Bukova polyana Quick edit Valid 2013-05-30 06937
06940 Bukovets Quick edit Valid 2013-05-30 06940
06954 Bukovets Quick edit Valid 2013-05-30 06954
06968 Bukovets Quick edit Valid 2013-05-30 06968
06971 Bukovets Quick edit Valid 2013-05-30 06971
06985 Bukovets Quick edit Valid 2013-05-30 06985
06999 Bukovlak Quick edit Valid 2013-05-30 06999
07003 Bukovo Quick edit Valid 2013-05-30 07003
07017 Bukovo Quick edit Valid 2013-05-30 07017
07020 Bukorovtsi Quick edit Valid 2013-05-30 07020
07034 Bulair Quick edit Valid 2013-05-30 07034
07048 Bunovo Quick edit Valid 2013-05-30 07048
07051 Bunovo Quick edit Valid 2013-05-30 07051
07065 Buranovo Quick edit Valid 2013-05-30 07065
07079 Burgas Quick edit Valid 2009-02-14 07079
07082 Burya Quick edit Valid 2013-05-30 07082
07096 Busintsi Quick edit Valid 2013-05-30 07096
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?