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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 1,221 to 1,240.First5859606162636465Last
Id Label Status Status Modified Notation
320370208 Poświętne Quick edit Valid 2013-05-30 320370208
320370209 Supraśl Quick edit Valid 2013-05-30 320370209
320370210 Suraż Quick edit Valid 2013-05-30 320370210
320370211 Turośń Kościelna Quick edit Valid 2013-05-30 320370211
320370212 Tykocin Quick edit Valid 2013-05-30 320370212
320370213 Wasilków Quick edit Valid 2013-05-30 320370213
320370214 Zabłudów Quick edit Valid 2013-05-30 320370214
320370215 Zawady Quick edit Valid 2013-05-30 320370215
320371101 Dąbrowa Białostocka Quick edit Valid 2013-05-30 320371101
320371102 Janów Quick edit Valid 2013-05-30 320371102
320371103 Korycin Quick edit Valid 2013-05-30 320371103
320371104 Krynki Quick edit Valid 2013-05-30 320371104
320371105 Kuźnica Quick edit Valid 2013-05-30 320371105
320371106 Nowy Dwór Quick edit Valid 2013-05-30 320371106
320371107 Sidra Quick edit Valid 2013-05-30 320371107
320371108 Sokółka Quick edit Valid 2013-05-30 320371108
320371109 Suchowola Quick edit Valid 2013-05-30 320371109
320371110 Szudziałowo Quick edit Valid 2013-05-30 320371110
320376101 Białystok Quick edit Valid 2013-05-30 320376101
320380301 Bielsk Podlaski Quick edit Valid 2013-05-30 320380301
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?