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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 181 to 200.First678910111213Last
Id Label Status Status Modified Notation
03023 Bashtino Quick edit Valid 2013-05-30 03023
03037 Bayachevo Quick edit Valid 2013-05-30 03037
03040 Bdintsi Quick edit Valid 2013-05-30 03040
03054 Bebrovo Quick edit Valid 2013-05-30 03054
03068 Beglezh Quick edit Valid 2013-05-30 03068
03085 Begovo Quick edit Valid 2013-05-30 03085
03099 Begunovtsi Quick edit Valid 2013-05-30 03099
03109 Beguntsi Quick edit Valid 2013-05-30 03109
03112 Beden Quick edit Valid 2013-05-30 03112
03126 Bedzhene Quick edit Valid 2013-05-30 03126
03132 Bedrovo Quick edit Valid 2013-05-30 03132
03143 Bezhanovo Quick edit Valid 2013-05-30 03143
03157 Bezhanovo Quick edit Valid 2013-05-30 03157
03174 Bezvoditsa Quick edit Valid 2013-05-30 03174
03188 Bezvodno Quick edit Valid 2013-05-30 03188
03191 Bezden Quick edit Valid 2013-05-30 03191
03201 Bezdenitsa Quick edit Valid 2013-05-30 03201
03215 Bezmer Quick edit Valid 2013-05-30 03215
03229 Bezmer Quick edit Valid 2013-05-30 03229
03232 Beykovtsi Quick edit Valid 2013-05-30 03232
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?