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

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

2,479 concepts found, displaying 381 to 400.First1617181920212223Last
Id Label Status Status Modified Notation
114273603 Przyłęk Quick edit Valid 2013-05-30 114273603
114273604 Tczów Quick edit Valid 2013-05-30 114273604
114273605 Zwoleń Quick edit Valid 2013-05-30 114273605
114276301 Radom Quick edit Valid 2013-05-30 114276301
114286501 Warszawa Quick edit Valid 2013-05-30 114286501
114290301 Garwolin Quick edit Valid 2013-05-30 114290301
114290302 Łaskarzew Quick edit Valid 2013-05-30 114290302
114290303 Borowie Quick edit Valid 2013-05-30 114290303
114290304 Garwolin Quick edit Valid 2013-05-30 114290304
114290305 Górzno Quick edit Valid 2013-05-30 114290305
114290306 Łaskarzew Quick edit Valid 2013-05-30 114290306
114290307 Maciejowice Quick edit Valid 2013-05-30 114290307
114290308 Miastków Kościelny Quick edit Valid 2013-05-30 114290308
114290309 Parysów Quick edit Valid 2013-05-30 114290309
114290310 Pilawa Quick edit Valid 2013-05-30 114290310
114290311 Sobolew Quick edit Valid 2013-05-30 114290311
114290312 Trojanów Quick edit Valid 2013-05-30 114290312
114290313 Wilga Quick edit Valid 2013-05-30 114290313
114290314 Żelechów Quick edit Valid 2013-05-30 114290314
114290801 Legionowo Quick edit Valid 2013-05-30 114290801
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?