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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 5,081 to 5,100.First251252253254255256257258Last
Id Label Status Status Modified Notation
80981 Cherni Osam Quick edit Valid 2013-05-30 80981
80995 Cherni rid Quick edit Valid 2013-05-30 80995
81006 Chernitsa Quick edit Valid 2013-05-30 81006
81013 Cherniche Quick edit Valid 2013-05-30 81013
81027 Chernichevo Quick edit Valid 2013-05-30 81027
81030 Chernichevo Quick edit Valid 2013-05-30 81030
81044 Chernichino Quick edit Valid 2013-05-30 81044
81058 Chernovrah Quick edit Valid 2013-05-30 81058
81061 Chernoglavtsi Quick edit Valid 2013-05-30 81061
81075 Chernogor Quick edit Valid 2013-05-30 81075
81089 Chernogorovo Quick edit Valid 2013-05-30 81089
81092 Chernogorovo Quick edit Valid 2013-05-30 81092
81102 Chernograd Quick edit Valid 2013-05-30 81102
81116 Chernodab Quick edit Valid 2013-05-30 81116
81121 Chernozem Quick edit Valid 2013-05-30 81121
81133 Chernozemen Quick edit Valid 2013-05-30 81133
81147 Chernokaptsi Quick edit Valid 2013-05-30 81147
81150 Chernolik Quick edit Valid 2013-05-30 81150
81164 Cherno more Quick edit Valid 2013-05-30 81164
81178 Chernomorets Quick edit Valid 2013-05-30 81178
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?