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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 1,421 to 1,440.First6869707172737475Last
Id Label Status Status Modified Notation
21097 Dimovo Quick edit Valid 2013-05-30 21097
21107 Dimovo Quick edit Valid 2013-05-30 21107
21110 Dimovtsi Quick edit Valid 2013-05-30 21110
21124 Dimovtsi Quick edit Valid 2013-05-30 21124
21138 Dimcha Quick edit Valid 2013-05-30 21138
21141 Dimchevo Quick edit Valid 2013-05-30 21141
21155 Dinevo Quick edit Valid 2013-05-30 21155
21169 Dink Quick edit Valid 2013-05-30 21169
21172 Dinkata Quick edit Valid 2013-05-30 21172
21186 Dinkovitsa Quick edit Valid 2013-05-30 21186
21193 Dinkovo Quick edit Valid 2013-05-30 21193
21209 Dinya Quick edit Valid 2013-05-30 21209
21213 Diralo Quick edit Valid 2013-05-30 21213
21227 Dismanitsa Quick edit Valid 2013-05-30 21227
21230 Dichevo Quick edit Valid 2013-05-30 21230
21244 Dichin Quick edit Valid 2013-05-30 21244
21258 Dlagnevo Quick edit Valid 2013-05-30 21258
21261 Dlagnya Quick edit Valid 2013-05-30 21261
21275 Dlazhka polyana Quick edit Valid 2013-05-30 21275
21289 Dlazhko Quick edit Valid 2013-05-30 21289
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?