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 5,181 to 5,200.First256257258259260261262263Last
Id Label Status Status Modified Notation
83137 Dabovitsa Quick edit Valid 2013-05-30 83137
83154 Shivarovo Quick edit Valid 2013-05-30 83154
83168 Shiliveri Quick edit Valid 2013-05-30 83168
83171 Shilkovtsi Quick edit Valid 2013-05-30 83171
83185 Shipikova mahala Quick edit Valid 2013-05-30 83185
83199 Shipka Quick edit Valid 2013-05-30 83199
83209 Shipkovitsa Quick edit Valid 2013-05-30 83209
83212 Shipkovo Quick edit Valid 2013-05-30 83212
83226 Shipok Quick edit Valid 2013-05-30 83226
83239 Shipot Quick edit Valid 2013-05-30 83239
83243 Shipochane Quick edit Valid 2013-05-30 83243
83257 Shipochano Quick edit Valid 2013-05-30 83257
83260 Shipchenite Quick edit Valid 2013-05-30 83260
83274 Shiroka laka Quick edit Valid 2013-05-30 83274
83288 Shiroka polyana Quick edit Valid 2013-05-30 83288
83291 Shiroki dol Quick edit Valid 2013-05-30 83291
83301 Shirokovo Quick edit Valid 2013-05-30 83301
83315 Shiroko pole Quick edit Valid 2013-05-30 83315
83329 Shishentsi Quick edit Valid 2013-05-30 83329
83332 Shishkovitsa Quick edit Valid 2013-05-30 83332
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?