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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 101 to 120.First23456789Last
Id Label Status Status Modified Notation
02169 Badevtsi Quick edit Valid 2013-05-30 02169
02172 Badino Quick edit Valid 2013-05-30 02172
02186 Baeva livada Quick edit Valid 2013-05-30 02186
02191 Baevtsi Quick edit Valid 2013-05-30 02191
02207 Baevtsi Quick edit Valid 2013-05-30 02207
02213 Bazhdari Quick edit Valid 2013-05-30 02213
02227 Baykal Quick edit Valid 2013-05-30 02227
02230 Baykalsko Quick edit Valid 2013-05-30 02230
02244 Baykovo Quick edit Valid 2013-05-30 02244
02258 Baylovo Quick edit Valid 2013-05-30 02258
02261 Bakalite Quick edit Valid 2013-05-30 02261
02289 Bakyovo Quick edit Valid 2013-05-30 02289
02292 Balabanovo Quick edit Valid 2013-05-30 02292
02302 Balabansko Quick edit Valid 2013-05-30 02302
02322 Balabanchevo Quick edit Valid 2013-05-30 02322
02333 Balaleya Quick edit Valid 2013-05-30 02333
02347 Balanite Quick edit Valid 2013-05-30 02347
02350 Balanovo Quick edit Valid 2013-05-30 02350
02364 Balvan Quick edit Valid 2013-05-30 02364
02378 Balvantsite Quick edit Valid 2013-05-30 02378
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?