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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

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

2,479 concepts found, displaying 1,201 to 1,220.First5758596061626364Last
Id Label Status Status Modified Notation
318361206 Rudnik nad Sanem Quick edit Valid 2013-05-30 318361206
318361207 Ulanów Quick edit Valid 2013-05-30 318361207
318361801 Stalowa Wola Quick edit Valid 2013-05-30 318361801
318361802 Bojanów Quick edit Valid 2013-05-30 318361802
318361803 Pysznica Quick edit Valid 2013-05-30 318361803
318361804 Radomyśl nad Sanem Quick edit Valid 2013-05-30 318361804
318361805 Zaklików Quick edit Valid 2013-05-30 318361805
318361806 Zaleszany Quick edit Valid 2013-05-30 318361806
318362001 Baranów Sandomierski Quick edit Valid 2013-05-30 318362001
318362002 Gorzyce Quick edit Valid 2013-05-30 318362002
318362003 Grębów Quick edit Valid 2013-05-30 318362003
318362004 Nowa Dęba Quick edit Valid 2013-05-30 318362004
318366401 Tarnobrzeg Quick edit Valid 2013-05-30 318366401
320370201 Choroszcz Quick edit Valid 2013-05-30 320370201
320370202 Czarna Białostocka Quick edit Valid 2013-05-30 320370202
320370203 Dobrzyniewo Duże Quick edit Valid 2013-05-30 320370203
320370204 Gródek Quick edit Valid 2013-05-30 320370204
320370205 Juchnowiec Kościelny Quick edit Valid 2013-05-30 320370205
320370206 Łapy Quick edit Valid 2013-05-30 320370206
320370207 Michałowo Quick edit Valid 2013-05-30 320370207
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?