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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 1,281 to 1,300.First6162636465666768Last
Id Label Status Status Modified Notation
18054 Gugutka Quick edit Valid 2013-05-30 18054
18068 Gudevitsa Quick edit Valid 2013-05-30 18068
18071 Guliyka Quick edit Valid 2013-05-30 18071
18085 Gulia Quick edit Valid 2013-05-30 18085
18099 Gulyantsi Quick edit Valid 2013-05-30 18099
18109 Gumoshtnik Quick edit Valid 2013-05-30 18109
18112 Gurbanovtsi Quick edit Valid 2013-05-30 18112
18126 Gurgulitsa Quick edit Valid 2013-05-30 18126
18133 Gurgulyat Quick edit Valid 2013-05-30 18133
18143 Gurkovo Quick edit Valid 2013-05-30 18143
18157 Gurkovo Quick edit Valid 2013-05-30 18157
18160 Gurkovo Quick edit Valid 2013-05-30 18160
18174 Gurmazovo Quick edit Valid 2013-05-30 18174
18188 Gusla Quick edit Valid 2013-05-30 18188
18191 Guslar Quick edit Valid 2013-05-30 18191
18201 Gutsal Quick edit Valid 2013-05-30 18201
18215 Gabene Quick edit Valid 2013-05-30 18215
18229 Galabets Quick edit Valid 2013-05-30 18229
18232 Galabets Quick edit Valid 2013-05-30 18232
18259 Galabintsi Quick edit Valid 2013-05-30 18259
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?