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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 5,261 to 5,280.First259260261262263264265266Last
Id Label Status Status Modified Notation
87309 Yakovitsa Quick edit Valid 2013-05-30 87309
87312 Yakovo Quick edit Valid 2013-05-30 87312
87326 Yakovtsi Quick edit Valid 2013-05-30 87326
87338 Yakoruda Quick edit Valid 2013-05-30 87338
87343 Yalbotina Quick edit Valid 2013-05-30 87343
87360 Yalovo Quick edit Valid 2013-05-30 87360
87374 Yambol Quick edit Valid 2013-05-30 87374
87388 Yamino Quick edit Valid 2013-05-30 87388
87391 Yamna Quick edit Valid 2013-05-30 87391
87401 Yana Quick edit Valid 2013-05-30 87401
87415 Yanino Quick edit Valid 2013-05-30 87415
87429 Yankovo Quick edit Valid 2013-05-30 87429
87432 Yankovtsi Quick edit Valid 2013-05-30 87432
87446 Yanovo Quick edit Valid 2013-05-30 87446
87453 Yantra Quick edit Valid 2013-05-30 87453
87463 Yantra Quick edit Valid 2013-05-30 87463
87477 Yanyovets Quick edit Valid 2013-05-30 87477
87480 Yardzhilovtsi Quick edit Valid 2013-05-30 87480
87494 Yarebitsa Quick edit Valid 2013-05-30 87494
87504 Yarebitsa Quick edit Valid 2013-05-30 87504
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?