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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 1,001 to 1,020.First4748495051525354Last
Id Label Status Status Modified Notation
14951 Glavan Quick edit Valid 2013-05-30 14951
14965 Glavanovtsi Quick edit Valid 2013-05-30 14965
14979 Glavanovtsi Quick edit Valid 2013-05-30 14979
14982 Glavantsi Quick edit Valid 2013-05-30 14982
14996 Glavatar Quick edit Valid 2013-05-30 14996
15000 Glavatartsi Quick edit Valid 2013-05-30 15000
15014 Glavatsi Quick edit Valid 2013-05-30 15014
15028 Glavinitsa Quick edit Valid 2013-05-30 15028
15031 Glavinitsa Quick edit Valid 2013-05-30 15031
15045 Glashatay Quick edit Valid 2013-05-30 15045
15059 Gledatsi Quick edit Valid 2013-05-30 15059
15062 Gledachevo Quick edit Valid 2013-05-30 15062
15093 Gledka Quick edit Valid 2013-05-30 15093
15103 Gloginka Quick edit Valid 2013-05-30 15103
15117 Glogino Quick edit Valid 2013-05-30 15117
15120 Glogovets Quick edit Valid 2013-05-30 15120
15134 Glogovitsa Quick edit Valid 2013-05-30 15134
15148 Glogovo Quick edit Valid 2013-05-30 15148
15151 Glodzhevo Quick edit Valid 2013-05-30 15151
15165 Glozhene Quick edit Valid 2013-05-30 15165
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?