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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 81 to 100.First12345678Last
Id Label Status Status Modified Notation
110176201 Piotrków Trybunalski Quick edit Valid 2013-05-30 110176201
110180301 Buczek Quick edit Valid 2013-05-30 110180301
110180302 Łask Quick edit Valid 2013-05-30 110180302
110180303 Sędziejowice Quick edit Valid 2013-05-30 110180303
110180304 Widawa Quick edit Valid 2013-05-30 110180304
110180305 Wodzierady Quick edit Valid 2013-05-30 110180305
110180901 Działoszyn Quick edit Valid 2013-05-30 110180901
110180902 Kiełczygłów Quick edit Valid 2013-05-30 110180902
110180903 Nowa Brzeźnica Quick edit Valid 2013-05-30 110180903
110180904 Pajęczno Quick edit Valid 2013-05-30 110180904
110180905 Rząśnia Quick edit Valid 2013-05-30 110180905
110180906 Siemkowice Quick edit Valid 2013-05-30 110180906
110180907 Strzelce Wielkie Quick edit Valid 2013-05-30 110180907
110180908 Sulmierzyce Quick edit Valid 2013-05-30 110180908
110181101 Dalików Quick edit Valid 2013-05-30 110181101
110181102 Pęczniew Quick edit Valid 2013-05-30 110181102
110181103 Poddębice Quick edit Valid 2013-05-30 110181103
110181104 Uniejów Quick edit Valid 2013-05-30 110181104
110181105 Wartkowice Quick edit Valid 2013-05-30 110181105
110181106 Zadzim Quick edit Valid 2013-05-30 110181106
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?