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 4,921 to 4,940.First243244245246247248249250Last
Id Label Status Status Modified Notation
77493 Hubavene Quick edit Valid 2013-05-30 77493
77517 Huma Quick edit Valid 2013-05-30 77517
77520 Huhla Quick edit Valid 2013-05-30 77520
77534 Hanevtsi Quick edit Valid 2013-05-30 77534
77548 Harlets Quick edit Valid 2013-05-30 77548
77565 Harsovo Quick edit Valid 2013-05-30 77565
77579 Harsovo Quick edit Valid 2013-05-30 77579
77582 Harsovo Quick edit Valid 2013-05-30 77582
77596 Gorno Kraishte Quick edit Valid 2013-05-30 77596
78015 Tsakonitsa Quick edit Valid 2013-05-30 78015
78029 Tsalapitsa Quick edit Valid 2013-05-30 78029
78032 Tsani Ginchevo Quick edit Valid 2013-05-30 78032
78046 Tsaparevo Quick edit Valid 2013-05-30 78046
78056 Tsar Asen Quick edit Valid 2013-05-30 78056
78063 Tsar Asen Quick edit Valid 2013-05-30 78063
78077 Tsar Asen Quick edit Valid 2013-05-30 78077
78080 Tsaratsovo Quick edit Valid 2013-05-30 78080
78094 Tsareva polyana Quick edit Valid 2013-05-30 78094
78104 Tsarev brod Quick edit Valid 2013-05-30 78104
78118 Tsarev dol Quick edit Valid 2013-05-30 78118
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?