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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 4,641 to 4,660.First229230231232233234235236Last
Id Label Status Status Modified Notation
70617 Sarnets Quick edit Valid 2013-05-30 70617
70620 Sarnino Quick edit Valid 2013-05-30 70620
70634 Sarnino Quick edit Valid 2013-05-30 70634
70648 Sarnitsa Quick edit Valid 2013-05-30 70648
70651 Sarnitsa Quick edit Valid 2013-05-30 70651
70665 Sarpovo Quick edit Valid 2013-05-30 70665
70679 Sartsevo Quick edit Valid 2013-05-30 70679
70682 Syanovo Quick edit Valid 2013-05-30 70682
70696 Syarovtsi Quick edit Valid 2013-05-30 70696
70706 Syartsi Quick edit Valid 2013-05-30 70706
70723 Selanovtsi Quick edit Valid 2013-05-30 70723
70737 Sini vrah Quick edit Valid 2013-05-30 70737
70768 Stoykovtsi Quick edit Valid 2013-05-30 70768
70771 Sedlartsi Quick edit Valid 2013-05-30 70771
70785 Sentse Quick edit Valid 2013-05-30 70785
70799 Selishte Quick edit Valid 2013-05-30 70799
70809 Sipets Quick edit Valid 2013-05-30 70809
70812 Sliventsi Quick edit Valid 2013-05-30 70812
70860 Strazhets Quick edit Valid 2013-05-30 70860
72014 Taban Quick edit Valid 2013-05-30 72014
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?