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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 1,561 to 1,580.First7576777879808182Last
Id Label Status Status Modified Notation
430572002 Czermin Quick edit Valid 2013-05-30 430572002
430572003 Dobrzyca Quick edit Valid 2013-05-30 430572003
430572004 Gizałki Quick edit Valid 2013-05-30 430572004
430572005 Gołuchów Quick edit Valid 2013-05-30 430572005
430572006 Pleszew Quick edit Valid 2013-05-30 430572006
430576101 Kalisz Quick edit Valid 2013-05-30 430576101
430580301 Gniezno Quick edit Valid 2013-05-30 430580301
430580302 Czerniejewo Quick edit Valid 2013-05-30 430580302
430580303 Gniezno Quick edit Valid 2013-05-30 430580303
430580304 Kiszkowo Quick edit Valid 2013-05-30 430580304
430580305 Kłecko Quick edit Valid 2013-05-30 430580305
430580306 Łubowo Quick edit Valid 2013-05-30 430580306
430580307 Mieleszyn Quick edit Valid 2013-05-30 430580307
430580308 Niechanowo Quick edit Valid 2013-05-30 430580308
430580309 Trzemeszno Quick edit Valid 2013-05-30 430580309
430580310 Witkowo Quick edit Valid 2013-05-30 430580310
430580901 Koło Quick edit Valid 2013-05-30 430580901
430580902 Babiak Quick edit Valid 2013-05-30 430580902
430580903 Chodów Quick edit Valid 2013-05-30 430580903
430580904 Dąbie Quick edit Valid 2013-05-30 430580904
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?