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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 1,241 to 1,260.First5960616263646566Last
Id Label Status Status Modified Notation
320380302 Brańsk Quick edit Valid 2013-05-30 320380302
320380303 Bielsk Podlaski Quick edit Valid 2013-05-30 320380303
320380304 Boćki Quick edit Valid 2013-05-30 320380304
320380305 Brańsk Quick edit Valid 2013-05-30 320380305
320380306 Orla Quick edit Valid 2013-05-30 320380306
320380307 Rudka Quick edit Valid 2013-05-30 320380307
320380308 Wyszki Quick edit Valid 2013-05-30 320380308
320380501 Hajnówka Quick edit Valid 2013-05-30 320380501
320380502 Białowieża Quick edit Valid 2013-05-30 320380502
320380503 Czeremcha Quick edit Valid 2013-05-30 320380503
320380504 Czyże Quick edit Valid 2013-05-30 320380504
320380505 Dubicze Cerkiewne Quick edit Valid 2013-05-30 320380505
320380506 Hajnówka Quick edit Valid 2013-05-30 320380506
320380507 Kleszczele Quick edit Valid 2013-05-30 320380507
320380508 Narew Quick edit Valid 2013-05-30 320380508
320380509 Narewka Quick edit Valid 2013-05-30 320380509
320380601 Kolno Quick edit Valid 2013-05-30 320380601
320380602 Grabowo Quick edit Valid 2013-05-30 320380602
320380603 Kolno Quick edit Valid 2013-05-30 320380603
320380604 Mały Płock Quick edit Valid 2013-05-30 320380604
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?