You are here:
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 1,201 to 1,220.First5758596061626364Last
Id Label Status Status Modified Notation
17155 Gorski Senovets Quick edit Valid 2013-05-30 17155
17169 Gorsko Quick edit Valid 2013-05-30 17169
17172 Gorsko Ablanovo Quick edit Valid 2013-05-30 17172
17186 Gorsko Dyulevo Quick edit Valid 2013-05-30 17186
17192 Gorsko Kalugerovo Quick edit Valid 2013-05-30 17192
17208 Gorsko Kosovo Quick edit Valid 2013-05-30 17208
17213 Gorsko novo selo Quick edit Valid 2013-05-30 17213
17227 Gorsko Pisarevo Quick edit Valid 2013-05-30 17227
17230 Gorsko selo Quick edit Valid 2013-05-30 17230
17244 Gorsko Slivovo Quick edit Valid 2013-05-30 17244
17258 Gortalovo Quick edit Valid 2013-05-30 17258
17275 Gorun Quick edit Valid 2013-05-30 17275
17289 Gorunaka Quick edit Valid 2013-05-30 17289
17302 Gorchevo Quick edit Valid 2013-05-30 17302
17316 Goryani Quick edit Valid 2013-05-30 17316
17323 Gospodinovo Quick edit Valid 2013-05-30 17323
17333 Gospodinovo Quick edit Valid 2013-05-30 17333
17347 Gospodintsi Quick edit Valid 2013-05-30 17347
17350 Gostilitsa Quick edit Valid 2013-05-30 17350
17364 Gostilya Quick edit Valid 2013-05-30 17364
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?