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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 1,621 to 1,640.First7879808182838485Last
Id Label Status Status Modified Notation
23185 Draganchetata Quick edit Valid 2013-05-30 23185
23193 Dragash voyvoda Quick edit Valid 2013-05-30 23193
23203 Dragievtsi Quick edit Valid 2013-05-30 23203
23217 Dragizhevo Quick edit Valid 2013-05-30 23217
23220 Dragiytsi Quick edit Valid 2013-05-30 23220
23234 Draginovo Quick edit Valid 2013-05-30 23234
23251 Dragichevo Quick edit Valid 2013-05-30 23251
23265 Dragnevtsi Quick edit Valid 2013-05-30 23265
23279 Dragnevtsi Quick edit Valid 2013-05-30 23279
23282 Dragovishtitsa Quick edit Valid 2013-05-30 23282
23296 Dragovishtitsa Quick edit Valid 2013-05-30 23296
23306 Dragovo Quick edit Valid 2013-05-30 23306
23323 Dragodan Quick edit Valid 2013-05-30 23323
23337 Dragodanovo Quick edit Valid 2013-05-30 23337
23340 Dragoevo Quick edit Valid 2013-05-30 23340
23354 Dragoil Quick edit Valid 2013-05-30 23354
23385 Dragoynovo Quick edit Valid 2013-05-30 23385
23399 Dragoychintsi Quick edit Valid 2013-05-30 23399
23409 Dragoman Quick edit Valid 2013-05-30 23409
23412 Dragomani Quick edit Valid 2013-05-30 23412
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?