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 5,201 to 5,220.First257258259260261262263264Last
Id Label Status Status Modified Notation
83354 Shishkovtsi Quick edit Valid 2013-05-30 83354
83363 Tsar Shishmanovo Quick edit Valid 2013-05-30 83363
83377 Shishmanovo Quick edit Valid 2013-05-30 83377
83380 Shishmantsi Quick edit Valid 2013-05-30 83380
83394 Shiyakovo Quick edit Valid 2013-05-30 83394
83404 Shkorpilovtsi Quick edit Valid 2013-05-30 83404
83418 Shodekovtsi Quick edit Valid 2013-05-30 83418
83421 Alendarova Quick edit Valid 2013-05-30 83421
83435 Shopite Quick edit Valid 2013-05-30 83435
83449 Shoptsi Quick edit Valid 2013-05-30 83449
83452 Shubetsi Quick edit Valid 2013-05-30 83452
83466 Shuma Quick edit Valid 2013-05-30 83466
83497 Shumata Quick edit Valid 2013-05-30 83497
83510 Shumen Quick edit Valid 2013-05-30 83510
83524 Shumentsi Quick edit Valid 2013-05-30 83524
83538 Shumnatitsa Quick edit Valid 2013-05-30 83538
83555 Shushnya Quick edit Valid 2013-05-30 83555
83586 Shemshevo Quick edit Valid 2013-05-30 83586
84019 Shterna Quick edit Valid 2013-05-30 84019
84022 Shtipsko Quick edit Valid 2013-05-30 84022
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?