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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 321 to 340.First1314151617181920Last
Id Label Status Status Modified Notation
114263305 Łochów Quick edit Valid 2013-05-30 114263305
114263306 Miedzna Quick edit Valid 2013-05-30 114263306
114263307 Sadowne Quick edit Valid 2013-05-30 114263307
114263308 Stoczek Quick edit Valid 2013-05-30 114263308
114263309 Wierzbno Quick edit Valid 2013-05-30 114263309
114263501 Brańszczyk Quick edit Valid 2013-05-30 114263501
114263502 Długosiodło Quick edit Valid 2013-05-30 114263502
114263503 Rząśnik Quick edit Valid 2013-05-30 114263503
114263504 Somianka Quick edit Valid 2013-05-30 114263504
114263505 Wyszków Quick edit Valid 2013-05-30 114263505
114263506 Zabrodzie Quick edit Valid 2013-05-30 114263506
114266101 Ostrołęka Quick edit Valid 2013-05-30 114266101
114266401 Siedlce Quick edit Valid 2013-05-30 114266401
114270101 Białobrzegi Quick edit Valid 2013-05-30 114270101
114270102 Promna Quick edit Valid 2013-05-30 114270102
114270103 Radzanów Quick edit Valid 2013-05-30 114270103
114270104 Stara Błotnica Quick edit Valid 2013-05-30 114270104
114270105 Stromiec Quick edit Valid 2013-05-30 114270105
114270106 Wyśmierzyce Quick edit Valid 2013-05-30 114270106
114270701 Garbatka-Letnisko Quick edit Valid 2013-05-30 114270701
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?